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Web Analytics Full Course | Web Analytics In Digital Marketing | Web Analytics Tutorial |Simplilearn

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0:07

hey everyone this is shruti from simply

0:10

learn welcome to this web analytics full

0:12

course where we will learn how to

0:13

identify and fix issues of web pages

0:16

we'll begin the session by first

0:17

understanding what google analytics is

0:20

then we will understand different

0:21

concepts like how google analytics works

0:24

how to set up google analytics and get

0:26

insights of our web pages

0:28

after that we will look into event

0:29

tracking in google analytics and basics

0:32

of google data studio along with the

0:34

fundamentals and kpi of digital

0:36

analytics

0:37

we will then conclude this video by

0:39

discussing the opportunity options and

0:41

benefits of web analytics by the end of

0:44

this video i can assure you that all

0:46

your web analytics related queries would

0:48

have been answered for this training

0:50

with me i have our experienced web

0:52

analyst specialist rob stefan and

0:54

avinash

0:56

together we will take you through the

0:57

various topics of web analytics

1:00

before we begin make sure to subscribe

1:02

to our youtube channel and hit the bell

1:04

icon to never miss an update from

1:05

simplylearn

1:07

without any further ado let's get

1:09

started welcome everyone this is rob

1:11

sanders with simply learn and today

1:14

we're going to talk about google

1:15

analytics i'm very excited to be with

1:18

you today because google analytics is

1:20

one of my favorite google platforms and

1:23

my favorite topics so let's talk about

1:26

what we're going to cover today and

1:27

we're going to start out with how to set

1:29

up a google analytics account and so

1:32

we're going to talk about everything

1:33

that entails including creating your

1:36

google analytics account we're going to

1:37

talk about setting up a property in your

1:40

account and what a property is we're

1:42

going to talk about setting up a

1:44

reporting view in your property and

1:47

we're going to talk about installing the

1:48

tracking code so those are the series of

1:50

steps we're going to go through today in

1:53

terms of setting up a google analytics

1:56

account so let's get right to it and so

1:59

really the prerequisite here when it

2:01

comes to setting up a google analytics

2:04

account is to have a google login and id

2:08

so when you actually go to google

2:10

analytics you need to be able to sign up

2:13

or sign in and so once you actually sign

2:17

in then you're gonna go walk through a

2:18

series of steps but really that's really

2:21

all you need to get the account going is

2:25

a google id and login so if you have a

2:28

gmail account or an other email account

2:32

that you use for other google products

2:34

then you're good to go that's all you

2:36

need to do so when you actually go to

2:38

sign up for google analytics you're

2:40

going to be asked to set up a new

2:43

account and these are the series of

2:45

steps you're going to walk through or go

2:47

through to set up a new google analytics

2:49

account so you're going to choose an

2:51

account name and then you're going to

2:53

choose a property name okay so the

2:55

account name can be anything you want it

2:56

to be the name your company your name

3:00

whatever you want to name it the

3:01

property name is really the website name

3:04

so what website are we talking about so

3:07

here i'm going to set up a fictitious

3:09

website name for now it's called demo

3:12

simply learn so the url for this website

3:16

demo simply learn is going to be

3:18

demo.simplylearn.com so that's the

3:20

property when we talk about properties

3:22

and analytics we're really talking about

3:24

what websites we want to measure and

3:27

then you're going to be asked to choose

3:29

an industry category and so for simply

3:32

learn we're in jobs and education but

3:34

you have a number of different

3:36

industries that you could choose from

3:38

this is important go ahead and choose

3:40

the

3:41

most relevant industry that your

3:44

particular business is associated with

3:46

okay and i'm gonna talk about why that's

3:47

important here in a minute and then

3:49

you're gonna choose your time zone and

3:50

the time zone is also important because

3:53

that's when the day starts and analytics

3:56

then the day ends based on that time

3:58

zone so the data that google analytics

4:01

collects starts and ends with that time

4:04

zone so very important to choose the

4:06

time zone your business is located in

4:09

okay and then you have some additional

4:11

options here okay so you have some

4:13

settings and so the first setting is to

4:16

allow google products and services so if

4:19

you opt into this then basically what

4:23

google is going to do is share some

4:25

products and services with you via email

4:27

i would go ahead and opt into that

4:29

that's of course recommended by google

4:32

it doesn't hurt to hear from google on

4:34

related products and services that may

4:36

enhance your business the second is

4:38

benchmarking so benchmarking to me is

4:41

something you should opt into so going

4:44

back to that industry and category we

4:46

chose jobs in education so by opting

4:49

into benchmarking basically what google

4:52

is going to do is share your data that

4:55

it collects on your website in this case

4:58

demo.simplylearn.com

5:00

it's going to share that data

5:03

anonymously

5:04

with others in the industry in this case

5:07

jobs in education and because you've

5:10

opted in it's going to do the same exact

5:13

thing for you it's going to share

5:15

anonymous data on other websites in the

5:19

same industry and the benefit of that is

5:22

we get to see

5:23

what other websites or how other

5:25

websites are performing compared to ours

5:27

what's the benchmark in our industry and

5:30

so the benchmarking to me is important

5:32

and i'm gonna go over that in a few

5:34

minutes when we go over the different

5:36

reports but to me i would always opt

5:38

into benchmarking because this is the

5:40

only report google provides in analytics

5:44

about how others in your industry is

5:46

performing versus your website okay so

5:49

it's a way to compare your website

5:51

performance against others in the same

5:53

industry the other options here

5:55

technical support and account specialist

5:58

i would also recommend you opt into

6:00

those because then it allows you to

6:03

basically google allow google access to

6:06

your account and they'll be able to help

6:08

you if you occur or run into any issues

6:11

so these are the options in setting up a

6:14

google analytics account it's very

6:16

simple very easy to do you're just

6:18

entering in a few fields note that we

6:22

talking about a website right now so i'm

6:24

talking about demo.simplylearn.com

6:26

but just know that if you want to track

6:28

a mobile app google analytics will allow

6:31

you to do that as well you just choose

6:32

the option mobile app so we're tracking

6:34

a website we want to know how users

6:37

behave when they get to my website and

6:39

that's what google analytics is going to

6:41

allow us to measure and look at we just

6:44

need to do a couple more steps in the

6:46

process so once we fill out these fields

6:49

here we're going to click get tracking

6:51

id now i'm going to accept the terms of

6:54

service i'm going to accept another

6:57

terms and service in relation to data

6:59

protection i'm going to click accept

7:02

once i accept i'm going to be able to

7:04

get some tracking code the tracking id

7:07

is the id associated with your account

7:11

and so

7:13

this number is going to be associated

7:15

with your account so your account id

7:18

starts with ua and it's gonna be this

7:21

number here now the dash one is the

7:24

property you set up so in this case i

7:26

set up

7:28

demo.simplylearn.com if i wanted to

7:30

track multiple websites under that same

7:33

account then i can certainly set up

7:35

multiple properties just know that every

7:38

property i set up in that account is

7:41

going to have a dash 1-2-3-4

7:45

etc depending on how many properties i

7:48

set up so by default i set up one

7:50

property so my first property id is dash

7:54

one if i set up a second property the

7:57

same account number it's just gonna have

7:59

a dash too and that's important because

8:02

that id that account and property id is

8:05

going to be associated with that

8:07

particular property or website so again

8:10

once you finish setting up the account

8:12

settings then you're going to be asked

8:14

to add some tracking code to your site

8:17

and that tracking code is going to be

8:19

related to the account and the property

8:22

so notice my tracking id up here

8:25

notice the tracking id and the snippet

8:27

of code now this snippet of code needs

8:30

to go on every page of your website that

8:33

you want to track and you don't have to

8:36

put it on every page but if you want to

8:38

track website behavior on every page

8:40

your website then it needs to go on

8:42

every page of your website so if you're

8:44

using a you know platform like drupal or

8:48

joomla or even more popular platform

8:51

like wordpress adding the tracking code

8:54

site wide is as easy as maybe adding a

8:57

google analytics plug-in to wordpress

8:59

for example and then just simply

9:01

plugging in the id now there's an

9:03

alternative to adding the google

9:05

analytics tracking code to your site and

9:08

that's google tag manager so google tag

9:11

manager is the way i would recommend

9:14

going so if you're not familiar with

9:15

google tag manager i would recommend

9:17

watching the

9:19

youtube video we have on google tag

9:21

manager you can just go to youtube type

9:24

in simply learn google tag manager and

9:27

this will give you a nice overview of

9:30

you know what google tag manager is and

9:32

how it works but basically this is the

9:35

way i would go and i would recommend

9:37

that in addition having google analytics

9:39

you set up a google tag manager account

9:42

and then that way you can put the

9:44

tracking code in google tag manager so

9:47

if i go to google tag manager and i just

9:50

go into an account on tag manager i can

9:53

just simply put in the google analytics

9:57

id right into tag manager and so if i

10:01

have it in tag manager then tag manager

10:04

is going to be the place that holds the

10:07

code and fires page view when somebody

10:10

comes to my website so that way i don't

10:11

have to add the tracking code to my

10:14

website if i do it in tag manager so

10:17

that's the recommended method for me is

10:20

to add the google analytics id

10:22

associated with tag manager if you can

10:25

associate it with tag manager then

10:27

that's the easier route to go versus

10:29

putting code on your website okay so

10:32

again take a look at the video we have

10:34

on youtube for google tag manager that's

10:36

the route i would go now once you do get

10:39

the tracking code on your website

10:41

whether that be through google tag

10:43

manager or through a plug-in or you know

10:46

just simply adding the script to your

10:48

site to pages on your site then what's

10:51

gonna happen is you're gonna start

10:52

collecting data so that's ideally the

10:55

way it works you need to add this code

10:58

to your website now if you're not ready

11:01

to do that and you simply want to

11:04

basically understand how google

11:06

analytics works then i would recommend

11:08

getting access to google analytics demo

11:11

account and so if you just type in and

11:14

search google analytics demo account

11:16

basically what you're going to do you're

11:18

going to choose the first listing there

11:21

and you're going to go to demo account

11:22

so if you have a google analytics or

11:25

google login then all you need to do is

11:28

click on access demo account and so what

11:30

google's going to do is put this demo

11:33

account into your account and so it's

11:35

going to look something like this so if

11:37

i click on demo account here it's going

11:39

to add to my google analytics account so

11:43

i'm gonna have then access to the demo

11:46

account from google and google analytics

11:49

so i would recommend going this route

11:52

here if you're not familiar you're not

11:54

sure what you're getting yourself into

11:56

so think of the demo account as kind of

11:58

a test drive you're test driving google

12:01

analytics before you even add any code

12:03

to your website so again all you need is

12:05

a google account and if you have a

12:07

google account and you add the demo

12:10

account to your google analytics account

12:12

you're going to be able to see how

12:14

analytics works okay and so that's what

12:17

i would also recommend so if you're not

12:18

ready to start adding code to your

12:21

website then what you can do

12:24

is just simply add the demo account and

12:26

then once you add the demo account

12:28

you're free to peruse around google

12:31

analytics to see the different types of

12:33

reports it has to offer now when you do

12:35

actually set up a google analytics

12:37

account you're going to have some

12:39

settings that you're going to want to

12:41

pay attention to so when you set up the

12:43

account you have the account name and

12:46

then you have a property so under each

12:49

property you have by default you're

12:50

going to have one view and so here you

12:53

can see this view here so if we look at

12:55

the account we set up we set up a demo

12:57

simply learn account property is demo

13:00

simply learn so that's associated with

13:02

the website we're going to track and

13:04

then again by default under each

13:06

property you're going to have a view and

13:09

so by default the name of the view is

13:11

going to be called all website data and

13:14

so in that view is where all your

13:16

analytics data is going to be stored so

13:19

you can see my screen here there's a lot

13:22

of different settings you have you have

13:24

settings under the account you have

13:27

settings under the property and you have

13:29

settings under the view so we're going

13:31

to talk more about these settings and

13:33

future webinars for advanced google

13:36

analytics users but for now know that

13:38

there's a bunch of settings that you

13:40

have that you can play around with when

13:42

it comes to google analytics anything

13:44

from adding users to your google

13:47

analytics account your google analytics

13:49

property review you can actually set up

13:51

goals you can set up filters you can set

13:54

up segments you can link up google ads

13:57

you can

13:58

you know set up remarketing lists

14:00

there's a lot you can do in terms of the

14:03

settings as it relates to google

14:05

analytics but so know those settings are

14:08

there they're located right down here

14:11

and this little sprocket icon that's the

14:13

admin icon so if you need to get to

14:15

these settings at any time you can

14:17

simply just click on the sprocket or the

14:20

admin icon and then you'll be prompted

14:23

to choose any one of these settings here

14:26

that you want to edit or alter so now

14:28

let's take a look at some google

14:30

analytics reports so once you've

14:32

actually set up your account you have a

14:34

number of different reports that you

14:37

have available to you in google

14:38

analytics so we're going to take a look

14:40

at you know customized reports we're

14:42

going to look at real time audience

14:44

reports acquisition behavior and

14:47

conversion so these are all the

14:49

different reporting buckets if you will

14:52

that you have available to you in google

14:55

analytics so if i'm an admin and i'm

14:58

looking at the google demo account let's

15:00

start out by looking at real time so if

15:03

i click on the real time report and i

15:06

just click on overview so basically what

15:09

this is going to do is show me at this

15:12

point in time how many users i actually

15:15

have active on the website okay so

15:17

that's why they call it real time

15:19

reporting because it allows you to see

15:21

the behavior of users who are currently

15:24

on your website and so this is the

15:27

overview report under real time and you

15:30

can see here i can see that 79 percent

15:33

of my users are coming from desktop 18

15:37

20 are coming from mobile and then

15:39

approximately three percent coming from

15:41

tablet here i can see how they actually

15:44

came to the website so this is the

15:46

referring source if they came from

15:50

say search or social i can see the

15:52

source there and i can see what pages

15:55

they're active on and then here i can

15:56

see what locations where they're located

15:59

and so if i want to see a breakdown of

16:01

everything in the overview i can

16:02

certainly do that if i go to locations

16:04

under real time i could see a majority

16:07

of my users are coming from the united

16:09

states okay where are they coming from

16:12

i'll just click on traffic sources and

16:14

here i could see the different sources

16:17

and mediums medium is the means in which

16:20

the traffic was driven so if it's google

16:23

it's either paid search or organic

16:25

search so i can see here it's organic

16:27

then i can actually see what contents

16:29

they're looking at on my website so i

16:32

could see currently have three active

16:34

users on the home page two active users

16:37

on the google's women's white tee page

16:40

so forth and so on now most importantly

16:44

if you have event tracking set up so if

16:47

you taking a look at our google tag

16:48

manager webinar you know that you could

16:51

set up event tracking in google

16:53

analytics to measure engagement on your

16:56

website whether that be a form

16:58

submission or somebody clicking on the

17:00

play button of a video so if i click on

17:02

events i'll be able to see what events

17:06

are firing so here i can see we have

17:08

event tracking set up and i can see how

17:11

many different events are firing on my

17:13

website in real time so here i can see

17:16

e-commerce somebody clicking on the

17:18

quick view click some a couple of users

17:21

clicking on add to cart a couple of

17:23

users clicking on the promotion click

17:25

and as these events are fired you're

17:27

going to be able to see them highlighted

17:29

so if something gets fired it's going to

17:31

get highlighted and i could see

17:34

that these are the current events that i

17:37

have currently firing on the website and

17:40

that's what's currently fire now if i

17:42

want to look at the events that have

17:43

happened in the last 30 minutes i can

17:45

just click on this link here last 30

17:48

minutes and it's going to give me an

17:50

overview of the events that have

17:52

happened over the past 30 minutes okay

17:54

so that's event tracking and then more

17:56

importantly we can also look at what

17:59

conversions are happening in real time

18:01

just by clicking on conversions and so

18:03

now i can see

18:05

i had one active user who entered the

18:08

checkout so that's goal number four so

18:11

in analytics you can have up to 20 goals

18:14

and so here i can see we have goal

18:16

number four has already had one active

18:19

user and so if i look at the last 30

18:21

minutes i can see i still have only one

18:24

goal over the last 30 minutes and that

18:26

was somebody who entered the checkout so

18:28

that's real-time reporting in summary it

18:31

just gives you an idea of what's

18:33

currently happening on your website and

18:36

so for me ideally if i'm launching a

18:38

campaign or let's just say you do a new

18:41

website redesign and you want to see how

18:44

users performing and behaving then real

18:46

time is a good option for you so you can

18:48

see how things are happening in real

18:50

time now let's jump down to audience

18:52

reporting so if i click on audiences

18:55

it's just right underneath real time i'm

18:57

going to see a number of different

19:00

reports available to me under audience

19:03

and so let's click on the audience

19:05

overview report so

19:08

audience reporting basically allows us

19:11

to get a sense of who is coming to our

19:14

website when i say who is coming to our

19:16

website it doesn't necessarily have to

19:18

be a specific person in fact google

19:20

doesn't allow personally identifiable

19:23

information in google analytics personal

19:27

identifiable information such as a

19:29

specific name a social security number

19:33

credit card information etc however we

19:36

can still paint a nice picture on who is

19:40

coming to our website meaning what

19:42

country

19:43

city or state did they come from what

19:46

language what device did they get to our

19:48

website from how old were they okay were

19:51

they male or female or other what

19:54

interest did they have what browser did

19:56

they use so we can paint a nice picture

19:59

based on all this information that

20:02

google analytics is providing us under

20:04

audience so if i go to audience overview

20:07

here i can see i have all these

20:09

different options available to me to get

20:11

a basic understanding of who is coming

20:13

to our website so for example i could

20:16

see a majority of the people coming to

20:19

our website

20:20

speak english and are from the united

20:22

states okay in fact that represents 61

20:26

of the users and so google analytics

20:28

does a great job of giving me an overall

20:32

percentage so if i have a 100 percent of

20:35

the users i could see 61 percent of

20:37

those users represented english speaking

20:40

users from the united states seven

20:42

percent represented english speaking

20:44

users from great britain and so when it

20:47

comes to analytics we have users and

20:50

users are broken down into two

20:52

categories they're either returning or

20:55

they're new so when you add the google

20:58

analytics tracking script to your

20:59

website what's gonna happen is if a user

21:02

or when a user goes to your website

21:04

they're going to get cookied if it's the

21:06

first time they've been to your website

21:08

what google analytics is going to do is

21:10

store a cookie in the browser so when

21:12

that same user comes back another day in

21:15

the same browser analytics is going to

21:18

recognize that that cookie is in the

21:20

browser and so then analytics is going

21:23

to categorize that user as a returning

21:26

user okay so that's how analytics is

21:28

able to differentiate new versus

21:30

returning so if that user doesn't have a

21:33

cookie in the browser then analytics is

21:35

going to recognize that store the cookie

21:38

and then count that user as a new user

21:40

and so when you're looking in analytics

21:42

you're going to be able to see a

21:42

breakdown of new versus returning so

21:45

here i can see over three quarters of my

21:49

traffic over the past week here i can

21:52

see april 6 through april 12th three

21:54

over three quarters are new users to the

21:57

website here i could see about 23 24

22:01

are returning users okay so i can get a

22:04

good breakdown of what type of users are

22:08

coming am i driving new traffic am i

22:10

driving traffic that's been to my

22:12

website before what language are they

22:14

speaking okay i can also paint a bigger

22:16

picture how old are they are they what

22:19

gender are they do they come from mobile

22:21

so let's take a look at some of these

22:23

different reports under audience and so

22:26

if i skip down now to demographics i can

22:29

click on overview and when that report

22:31

loads i can see now under demographics

22:35

overview i can see the breakout of age

22:39

ranges and so here i can see the

22:41

majority of the traffic coming to my

22:43

site again over the past week now if i

22:46

want to change this date range i could

22:47

simply do that i can change the date

22:50

range just by clicking on the date range

22:52

and then maybe going say the last 30

22:54

days and i can even compare it to the

22:57

previous period or the previous year i'm

23:00

going to choose the last 30 days i'm

23:02

going to click apply now i'm looking at

23:04

data over the last 30 days and again you

23:07

can change the date range to any range

23:10

you want you can only go back as far as

23:12

when you actually created the google

23:14

analytics account you can't go prior to

23:17

that so here i'm looking at the last 30

23:19

days and i can see almost 47 percent of

23:24

my users were in their age range of 25

23:27

to 34. now when it comes to gender i can

23:30

see

23:31

66

23:33

represent males so i can get a breakout

23:36

of gender and age as well as interest

23:40

and click on interest and look at the

23:42

overview there and see what the interest

23:46

is of the users who are coming to my

23:48

site based on in-market segments or

23:51

affinity i can also choose language and

23:53

location so if i want to know exactly

23:57

where my users are located when they're

23:59

coming to my website i can click on

24:01

location and here i can get a breakout

24:03

43

24:05

of the users of the last 30 days were

24:08

from the united states more importantly

24:10

i can align my audience with goals and

24:14

we'll talk about goals here in a minute

24:16

but here i can see if i have an

24:18

e-commerce website i can see of those 43

24:21

percent 0.29 of those converted or

24:25

purchased something and that equates to

24:27

94 transactions so i can get a good

24:30

sense of not only how many users are

24:32

coming from a specific country but are

24:35

those users converting if i click on

24:38

mobile and mobile to me is one of those

24:40

reports i tend to spend a bit of time on

24:44

because i want to know what devices

24:46

users are coming to my website and so

24:49

for my website here or this is the

24:51

google demo website i can see mobile

24:55

represents approximately 27

24:58

of the traffic so desktop still

25:00

represents a majority of the traffic so

25:03

for you you want to keep an eye on

25:05

mobile because mobile is definitely a

25:09

majority of what people use nowadays

25:11

that's how people start their day that's

25:14

how they transact via mobile whether

25:16

that's purchasing something

25:18

communicating or searching it all starts

25:21

with mobile so you want to keep an eye

25:23

on mobile and more importantly you want

25:25

to keep an eye on behavior so google

25:28

analytics is telling me that yes i have

25:30

approximately 27 of my traffic of the

25:33

last 30 days came from mobile how are

25:36

they interacting with my website so if i

25:40

look across this report i'm going to be

25:43

able to see different metrics so if i'm

25:46

measuring specific metrics against my

25:49

dimension in this case the dimension is

25:52

what we're measuring and in this example

25:54

we're measuring mobile i can see that

25:57

the bounce rate is approximately 48

26:00

percent and bounce rate means that if a

26:02

user in this case from mobile landed on

26:05

a page they

26:07

left the site without going any further

26:10

so they consider it a bounce if they

26:12

don't go to another page if they leave

26:15

the site from the page they landed on

26:17

and they don't go any further that's

26:19

considered a bounce so bounce rate is

26:22

the percentage of people who come to the

26:24

site and leave the site without going

26:26

any further so in this case we have 48

26:30

bounce rate that's almost half of our

26:32

users who come from mobile leave the

26:34

website from the page they landed on so

26:37

is that good is that bad well it's open

26:41

to interpretation is definitely

26:43

subjective but you want to keep the

26:45

bounce rate as low as possible you want

26:47

to keep people on your site especially

26:50

if you have an ecommerce website you

26:52

want people who come to your website to

26:55

purchase and so here we can see 48

26:58

percent mobile in desktop it's a little

27:01

bit lower at 41

27:03

now if i look a little bit further at

27:05

engagement i can see how many pages on

27:08

average do mobile users look at so

27:12

versus desktop it's a little bit lower

27:14

you can see 3.86

27:16

on desktop it's 4.5 now if i look a

27:19

little bit further in engagement i want

27:22

to be able to measure how long somebody

27:25

from mobile stays on the website if

27:27

they're bouncing at 48

27:29

but they're also looking at 3.8 pages

27:32

3.9 almost four pages per session then

27:35

that means in this report analytics is

27:38

telling me they're spending about two

27:40

minutes on the site and interestingly

27:42

enough i can see that mobile over the

27:44

last 30 days had more transactions so 51

27:49

transactions versus 34 transactions from

27:53

desktop and interestingly enough the

27:56

commerce conversion rate is at point two

27:58

nine percent that's higher than desktop

28:01

at 0.07 it's lower than tablet but it's

28:05

higher than desktop and mobile has the

28:07

most transactions and since they have

28:09

the most transactions they have the most

28:12

revenue at 2 380 so yes the engagement

28:16

isn't exactly as great as it is as

28:19

desktop but we can see that people are

28:21

still purchasing with their mobile

28:23

devices so it's something to keep an eye

28:25

on and mobile is something i definitely

28:27

look at in fact since it's such an

28:30

important report one thing you can do in

28:33

analytics is if you actually like a

28:35

report and you think you're going to

28:37

look at that report multiple times then

28:39

you can simply just go ahead and click

28:42

save at the top here so if i click save

28:45

i'm going to enter a name for this

28:47

report i'm just going to call it mobile

28:49

report and click ok and then what's

28:51

going to happen is it's going to be

28:53

located under save reports and save

28:56

reports is located under customization

29:00

customization is located above real time

29:03

okay so if i close that up you can see

29:05

audience real time customization if i

29:08

click on customization if i click on

29:10

save reports i should be able to see my

29:13

save report here and i do so here i can

29:16

see mobile report if i click on it i can

29:19

simply go to the report i was looking at

29:21

before i saved it so save reports to me

29:24

is a good feature in analytics because

29:25

it allows you to quickly access a report

29:29

that you've saved in the past so let's

29:31

take a look at one more report under

29:34

audience and let's go to benchmarking so

29:36

remember when we're setting up our

29:38

analytics account we had the option to

29:41

opt into benchmarking and i recommended

29:44

you do so and so if you did actually opt

29:47

into benchmarking then you're going to

29:49

be able to see

29:51

how your site compares to others in the

29:54

same industry so if i click on

29:56

benchmarking and then click on channels

29:58

what i'm actually able to do now is

30:00

compare my website with others in the

30:04

same industry so if i go back to say

30:07

jobs and education and i choose

30:10

education all education as my industry

30:13

vertical i should be able to see

30:15

websites that are in the same particular

30:19

industry and how i compare with those

30:21

websites so i'm choosing all countries i

30:24

can narrow that down if i wanted to i

30:26

can just search for the united states i

30:29

can choose a specific state and then i

30:31

can choose a particular site size so

30:35

here i'm choosing sites by daily session

30:37

so these are sites that have an average

30:40

of 5 000 to almost 10 000 sessions a day

30:44

and so in this vertical education in the

30:46

united states sites that have 5 000 to

30:51

99999 sessions per day that means that

30:54

there are approximately 310 web

30:57

properties contributing to this report

30:59

okay based on this criteria i chose now

31:02

if my site is similar meaning if i'm in

31:04

the united states if i'm in education

31:07

and i'm receiving 5 000 to

31:10

9999 sessions per day then i'm able to

31:14

compare my site against 310 other

31:17

websites now google's sharing this data

31:20

anonymously from the other websites and

31:22

they're doing the same with your website

31:25

to those particular websites

31:27

benchmarking reports okay so it's shared

31:30

data anonymously in particular

31:33

industries and verticals and so now i'm

31:35

looking at a channel report so if i want

31:38

to see how i compare to others in my

31:41

industry then i can go ahead and see by

31:45

channel for example am i driving as much

31:48

traffic as others in my industry and you

31:51

can see i'm not in fact i'm 76 77

31:55

percent worse in terms of the amount of

31:57

traffic being driven from organic search

32:00

so anything in red is going to show as a

32:04

negative result a negative comparison

32:06

whereas something in green is a positive

32:09

comparison so if i look at engagement i

32:12

can see that i might not be driving as

32:14

much traffic but i can see that the

32:17

pages per session are better than the

32:20

site average or the industry average i

32:22

can see if i go over again looking just

32:24

at organic search i can see the bounce

32:27

rate is better than the industry average

32:29

so the channel report under benchmarking

32:32

allows you to measure how you compare to

32:36

others in your industry and you could do

32:38

so by looking at location and devices so

32:41

if you opted into benchmarking when you

32:43

set up your account then you'll be able

32:46

to compare your website against others

32:48

in your industry in your country region

32:51

and based on the size of your website in

32:54

terms of how many visitors or sessions

32:56

you're getting per day so let's go from

32:58

audience to acquisition so if audience

33:01

is who is coming to your website

33:04

acquisition allows us to see how the

33:06

traffic was driven to your website so

33:09

how do these users get to our website

33:12

and so under acquisition if we click on

33:14

overview we'll be able to see an

33:17

overview of how users whether they're

33:20

returning or new came to our website and

33:23

so what analytics does by default is

33:26

they have a number of default channels

33:28

and when we say channels we mean

33:31

analytics is grouping different channels

33:34

based on how users got to your website

33:36

meaning how did users get to our website

33:38

did they come via organic search meaning

33:41

did they type something into google and

33:44

find you in the organic listing

33:46

analytics also groups users based on

33:49

whether they came to your site directly

33:51

meaning did they type in the url

33:54

directly into the browser or did they

33:56

bookmark your website and come back via

33:59

the bookmark so they're grouping users

34:01

under direct they also group users under

34:04

referral meaning do they come from

34:06

another website they group users by

34:09

social do they come from a social media

34:11

platform like twitter or facebook if

34:14

you're running paid search

34:16

meaning if you're running paid search on

34:18

say google then do they come from paid

34:20

search ads now if you're running display

34:23

ads on say google's network google's

34:25

display network that's a default channel

34:28

so analytics will group users there so

34:31

if they don't recognize a channel then

34:32

they're going to group it as others so

34:34

by default google analytics groups users

34:37

on how they came to your website via

34:39

these default channels and so i can see

34:42

how many users came to the site from

34:45

each channel now if i want to drill down

34:48

on this report i can click on all

34:50

traffic and then if i click on all

34:52

traffic i can go to channels i can look

34:55

specifically at the channels report and

34:57

so now i can see organic search again

35:01

over the last 30 days is the number one

35:04

channel driving traffic and they

35:06

represent approximately again you can

35:09

see this number here in parentheses next

35:11

to the raw number of users i can see

35:14

that number is about 56 percent so 56

35:17

percent of my traffic over the last 30

35:20

days came from organic search and so

35:23

those are the number of users again as a

35:26

metric you're also going to have

35:27

sessions and you'll see sessions a lot

35:30

as a metric so users are broken down

35:32

between new and returning so every time

35:35

a new or returning user comes to the

35:38

website basically what they're doing is

35:41

initiating a session so you can have a

35:44

user who can come back multiple times

35:47

every time they come back to the website

35:49

it's a session so session is simply the

35:52

start of somebody coming to your website

35:54

and the session ends when they leave the

35:56

website and so

35:58

just like we looked at with the

36:01

audience reports when it came to mobile

36:04

we can also look at engagement by

36:07

channel so just like mobile we looked at

36:09

bounce rate pages per session average

36:12

session duration we can do the same

36:14

thing here with our channel report more

36:17

importantly in addition to behavior we

36:21

can see conversions and since we're

36:23

running an e-commerce platform we could

36:25

see what the conversion rate is by

36:27

channel so organic search did drive the

36:30

most traffic and they did have the most

36:33

transactions over the last 30 days and

36:36

the conversion rate in this case is 0.17

36:39

okay so how google determines the

36:41

conversion rate they basically take

36:44

the number of transactions and divide

36:47

that by sessions so that means that over

36:49

the last 30 days organic search drove 38

36:53

123 sessions and of those 38 123 64

36:59

actually turned into a transaction which

37:02

equates to 0.17 which also equates to 3

37:05

000 in revenue so i'm able to determine

37:09

not only how users are getting to my

37:11

website by looking at the channel report

37:14

i can actually see if they're engaging

37:17

and if they are converting and notice

37:20

when you look at a report in analytics

37:23

you can look at it by channel you'll

37:24

also get a summary so here i can see a

37:27

summary or a total based on my date

37:30

range so i could see over the last 30

37:32

days i've had 54 000 users 49 000 of

37:37

them were new okay that meant that at

37:41

those 4 54 000 users i had 70 000

37:44

sessions i could see my average bounce

37:46

rate was 43 percent the pages per

37:49

session we're just over four and the

37:51

average session duration how long did

37:53

somebody stay on my website on average

37:56

about two minutes and 55 seconds the

37:58

average conversion rate was 0.14 and i

38:02

had a total of

38:03

transactions totaling 5500

38:07

okay and that's all over the last 30

38:09

days so any report you look at in

38:11

analytics is gonna have a summary and

38:13

note that any report you look at in

38:16

analytics is going to allow you to save

38:18

it so if it's a report you think you're

38:21

going to go back and look at at a future

38:23

date then you simply just have to click

38:25

on the save button conversely if you

38:28

don't want to save it you can simply

38:30

just export it so you can export it as a

38:32

pdf if i click on pdf it's going to

38:35

allow me to export that as a pdf now you

38:39

have other options available to you as

38:41

well you can do a google sheet you can

38:44

export it as an excel or you can export

38:46

it as a comma delimited file so here you

38:49

can see i can save it as a pdf if i want

38:52

to and if i click ok it's going to save

38:55

to my desktop or location of my choosing

38:58

and then i can go back and look at it in

39:00

that format at a later time so that's

39:02

the export feature available to you in

39:05

analytics again if you you could save it

39:07

as well or you can export it okay some

39:10

other reports under acquisition if

39:12

you're running google ads note that you

39:15

can connect google ads to analytics and

39:18

this is key because now i can see

39:21

how many people are coming from google

39:24

ads to my website and are they

39:27

converting now this is important because

39:29

with google ads i'm actually paying for

39:31

the click so you can see here i'm

39:33

running a report based on campaign data

39:36

so i could see what campaigns are

39:38

driving traffic how much i'm paying per

39:41

click and you can see on average i'm

39:43

paying 34 cents per click and then more

39:47

importantly i want to be able to see if

39:49

they're converting so you can see i've

39:52

spent 810 dollars over the last 30 days

39:55

and received

39:56

858 in revenue so you want to make sure

40:01

that you link up your google ads account

40:04

to your google analytics account for

40:06

this very reason you want to be able to

40:09

see how your google ads campaigns

40:11

perform once the users get to your

40:14

website and so i want to see if they're

40:15

engaging and i want to see if they're

40:18

converting so there are all sorts of

40:20

reports under google ads so you can look

40:23

at it by keywords by search queries by

40:26

hour of the day if you're running

40:28

display campaigns you can look at

40:30

display targeting so there's all sorts

40:32

of reports under google ads you just

40:35

have to link it up and you link it up

40:37

under the admin now there are other

40:39

reports that you can look at so if i go

40:41

to campaigns i can look at all campaigns

40:45

so if you're running all sorts of

40:46

different types of campaigns whether

40:48

that be on facebook whether it be email

40:52

whether that be you know other types of

40:55

advertising let's just say twitter or

40:57

instagram you're going to be able to see

40:59

those campaigns here and that's under

41:01

all campaigns and again you'll be able

41:03

to see the campaign name and you'll be

41:06

able to see metrics associated with

41:08

those campaigns and more importantly

41:10

you'll be able to see your e-commerce if

41:12

you run an e-commerce platform or if you

41:14

have goals set up so you'll be able to

41:17

look at how your campaigns are not one

41:20

not only driving traffic but two are

41:22

they converting let's go from

41:24

acquisition reporting to behavior so

41:27

behavior reports are going to actually

41:30

show you

41:31

how users behaved once they got to your

41:35

website once they landed on a page on

41:38

your website how did they behave so when

41:41

we looked at audience we got a sense of

41:43

who is coming with acquisition we get a

41:45

sense of how the traffic got to our

41:47

website did they come from organic

41:50

direct social etc the behavior reports

41:53

allow us to actually measure how that

41:56

traffic behave once they landed on a

41:58

page on our website and so if i go to

42:00

overview under behavior now i'm looking

42:03

at this graph here it's showing me how

42:06

many page views i've had and a page view

42:08

is simply once a page is viewed it's

42:10

counted as a page view so if a user

42:13

comes to my site they're initiating a

42:15

session and if they look at a page then

42:18

that page is going to have a page view

42:20

okay so a user can look at a page

42:23

multiple times in a session and every

42:25

time they look at that page it's going

42:27

to count as a page view so here i can

42:30

see in this graph how many page views

42:32

i've had again over the last 30 days and

42:36

if i look further at my overview report

42:39

i can see the specific pages and how

42:41

many pages they've had and i can also

42:44

look at some other metrics okay the

42:46

average bounce rate the average time on

42:49

page i can look at the exit rate which

42:52

means how many people actually exited or

42:55

the percentage of people who exited from

42:57

that page so i can dig deeper into my

43:00

behavior reporting so if i click on site

43:03

content and i click on all pages then

43:06

i'm going to look at a report by page

43:08

this is my dimension this is what i'm

43:10

measuring my page and now i can see how

43:13

many page views each page had over the

43:15

last 30 days now note you also have

43:18

something called unique page views so

43:21

unique page use is equivalent to one per

43:23

session in other words if a user came to

43:26

my site and looked at the home page then

43:29

the home page is going to have one

43:31

unique page view and one page view now

43:34

if the user in that same session looks

43:37

at other pages then every page that user

43:40

looks at is going to have one unique

43:41

page view however if the user goes back

43:44

to a to the same page in the same

43:47

session then it's still going to be one

43:50

unique page view but in this case the

43:52

home page if they look at the home page

43:54

a second time then the home page is

43:56

going to have two page views if they

43:57

look at the home page five times in one

44:00

session then the home page is gonna have

44:02

five total page views and one unique

44:04

page view okay so that's why unique

44:06

pages is equivalent to one per session

44:10

where page uses accumulation of how many

44:13

times the page was viewed in the same

44:15

session so in other words you're always

44:17

going to have more page views than

44:20

unique pages okay so this gives me a

44:22

sense of how my page is performed so

44:25

again i can look at total page views and

44:27

then engagement so ideally what you want

44:30

to do with a report like this is if a

44:33

user is not engaging on the page then

44:35

that should tell you something about the

44:37

page itself if they're not engaging if

44:39

the bounce rate's high if the time on

44:41

page is low if the exit percentage of

44:44

exit rate is high then you probably want

44:47

to do something with that page now these

44:50

are all pages but if i jump down to

44:52

landing pages my landing page report is

44:55

showing me how many people actually

44:58

landed on that page and so here i can

45:00

see under my landing page report i can

45:03

see the home page had 36 000 17 sessions

45:07

in the last 30 days that's how many

45:09

people landed on the home page so here i

45:12

can see 71 were new sessions meaning

45:16

that i had a lot of new users who landed

45:19

on the home page in fact 25 000 or 52

45:24

of the people who landed on the home

45:26

page were new i could see the balance

45:29

rates about 42 percent but of those who

45:32

didn't bounce they went on to look at

45:34

about 4.5 pages per session and spent

45:37

about three minutes on the site and the

45:39

one thing i like about the landing page

45:42

report is i can also see whether that

45:46

particular page in this case the home

45:48

page did it help contribute to a goal or

45:52

conversion and in this case i can see of

45:54

those 36 000 sessions i had 22

45:58

transactions totaling 1200 in revenue

46:01

and that's an e-commerce conversion rate

46:03

of 0.06

46:05

so the home page over the last 30 days

46:07

contributed to

46:09

0.06

46:11

of the revenue so this gives you an idea

46:14

of when somebody lands on your website

46:17

and they land on a page is that page

46:19

helping to move that person along

46:22

meaning are they not bouncing and is

46:26

that page helping to move people towards

46:28

converting and so that's what the

46:29

landing page in effect allows us to

46:31

measure is the engagement and in this

46:34

case we're measuring transactions okay

46:37

so analytics also gives us some other

46:39

reports under behavior including site

46:42

speed so site speed to me is an

46:45

important report to look at just like

46:47

the mobile report to me site speed's

46:49

important because what google analytics

46:51

does is they take a sampling of pages

46:55

and in this case you can see over the

46:56

last 30 days they sampled 2 835 page

47:01

views and of that sample they came back

47:04

and said the average page load time is

47:07

about 4 seconds now ideally you want to

47:11

keep it as quick as possible i would say

47:13

even under three seconds okay now there

47:16

are other factors involved with page

47:18

load time the browser you're using the

47:21

country that you're actually browsing

47:23

that page from might not have the best

47:25

infrastructure you name may not even be

47:28

on the best internet network meaning

47:31

you're on a cell network or the wi-fi is

47:33

not that great or you can be on a page

47:35

that just has a lot of images or a lot

47:38

of code that may slow it down so there

47:40

are other factors involved and so what

47:43

google analytics does is show you what

47:44

those factors are so here i can see by

47:47

browser what the average load time is if

47:50

i want to look at country i could see

47:52

what country is contributing to the low

47:55

time now the great thing about the site

47:57

speed report is if i go to speed

48:00

suggestions okay what speed suggestions

48:03

is going to do is it's going to show me

48:06

the page load time by page and then it's

48:09

actually going to provide a link where i

48:11

can actually click on to get suggestions

48:15

on increasing the page load time so for

48:18

example i can look at this particular

48:20

page here this google redesign shop by

48:23

brand slash youtube page line number

48:26

five if i look at line number five i can

48:28

see the average load time of this page

48:30

is eight seconds almost nine seconds

48:33

okay that's an eternity to some people

48:35

now notice this link next to it so

48:38

google's recommending seven total

48:40

suggestions so if i click on seven total

48:43

what it's actually gonna do it's gonna

48:45

open up a new window and it's going to

48:47

open up another google report called

48:50

page speed insights and page speed

48:52

insights is going to give me some

48:54

information about what i can do to

48:56

create

48:57

correct the page load of that particular

49:01

page so look at this site speed report

49:04

it's important because there is a

49:05

correlation between site speed or page

49:09

load time and user behavior of that page

49:12

and there's also correlation between

49:15

page load time and a page ranking

49:17

organically on search so page load times

49:20

very important it's so important that

49:22

i'm even going to save it so i'm going

49:24

to click save and click on speed site

49:26

speed suggestions as my name and click

49:28

ok and now that report is going to be

49:31

saved under customization under save

49:34

reports let's jump from behavior to

49:37

conversions now conversion reporting is

49:39

arguably the most important section and

49:43

in google analytics because what the

49:46

conversions reporting allows us to do is

49:49

see how people are converting or if

49:52

they're not converting on our website

49:55

and so in google analytics we have the

49:57

opportunity to set up goals now you have

50:00

the opportunity to set up 20 goals in

50:03

your google analytics view and so to set

50:06

up a goal okay so you're going to click

50:07

on admin and under the view you're going

50:10

to see goals and so if you don't even

50:12

have goals the first step is to create

50:15

goals and so you have four different

50:18

goal types and analytics so you have

50:22

pages per session so how many pages per

50:25

session is so if your goal is set to say

50:27

three or two if somebody actually looked

50:30

at two or three pages per session it's

50:32

going to count as a goal okay so if i

50:34

look here i could see i have pages per

50:37

session set at 10. so that means that if

50:41

a user came to the site looked at more

50:43

than 10 pages per session then it's

50:46

going to count as a goal another goal

50:48

type is destination so destination means

50:52

that if somebody actually went to a

50:54

specific page then it's going to count

50:57

as a goal and in this case i can see

50:59

here

51:00

that the goal is set to this particular

51:03

page here and so when somebody actually

51:05

lands on that page it's going to count

51:08

as a goal now there are two other goal

51:10

types we can look at one is duration so

51:14

just like pages per session in our

51:16

previous example if somebody looked at

51:18

10 pages per session it's going to count

51:20

as a goal with duration it's based on

51:22

time so in this particular case if you

51:25

set up a duration goal and the duration

51:28

is set to say one minute and 30 seconds

51:31

then that means if a user comes to my

51:33

website and they spend at least one

51:35

minute and 30 seconds then it's going to

51:38

count as a goal okay and then the fourth

51:40

type of goal in google analytics is an

51:43

event-based goal so when you set up

51:45

event tracking you could turn that event

51:48

into a goal so if somebody clicks on say

51:52

the submit button of a form you can turn

51:55

that event into a goal so here you can

51:58

see the category equals contact form so

52:01

you can always verify if a goal works

52:04

just by clicking on verify this goal and

52:07

in this case this event is turned into a

52:10

goal so anytime somebody fires this

52:12

event it's gonna count as a goal so you

52:15

have four different goal types in google

52:17

analytics you have pages per session

52:19

destination event and duration and so

52:23

once you've set up a goal then you can

52:25

measure goals under conversions so now

52:28

if i look at goals overview i can be

52:31

able to see how many total goal

52:33

completions i've had so if i want to

52:35

look at it by goal i can just choose the

52:37

goal option here so if i want to look at

52:40

for example

52:41

goal 2 engaged users this was the pages

52:45

per session i can see that i had a

52:47

conversion rate of 10

52:49

meaning that i had 7 000 of all the

52:54

users who came to the website 7 000 gold

52:57

completions meaning 7106

53:00

users looked at 10 pages or more on my

53:04

website and so that's how you want to be

53:06

able to measure whether users wherever

53:09

they're coming from whoever they are

53:11

whatever pages they look at you want to

53:13

be able to look at the conversion

53:15

reports to see if they're actually

53:17

converting based on the goals you've set

53:19

up whether that's pages per session

53:22

duration destination or event goal

53:25

conversion tracking reports can help you

53:28

measure

53:28

who is actually converting and the great

53:31

thing about google analytics here is

53:33

that i can actually see

53:36

by segment so the default segment in a

53:39

segment is just looking at a specific

53:42

user set so the default segment is

53:45

always all users however i can choose a

53:48

different segment so if i want to choose

53:50

instead of all users if i want to choose

53:52

mobile traffic i can select mobile

53:55

traffic hit apply so i'm actually now

53:58

looking at a subset of data i'm looking

54:01

at mobile traffic so if all the mobile

54:04

users have come to my site i can see

54:07

1400 engaged or looked at ten pages or

54:10

more okay and that's a seven percent

54:13

conversion rate so the great thing about

54:15

google analytics is you have the

54:16

opportunity to set up four different

54:18

goal types okay based on those goal

54:20

types you can go to goals overview and

54:24

look at the conversion rate of each goal

54:27

but you can also change the segment of

54:30

that particular goal to see who exactly

54:34

converted okay another report i like

54:36

under conversions is the multi-channel

54:38

funnel report so if i click on

54:40

multi-channel funnel basically what this

54:42

allows me to do is see how different

54:45

channels work together to convert so

54:48

remember the channel reporting we looked

54:50

at under acquisition here i can see now

54:53

how different channels work together to

54:55

drive the conversion so if i look at

54:57

three channels direct organic and

55:00

referral i can see all three together

55:02

drive two percent of the conversions if

55:05

i look at direct and referral 12 and a

55:07

half percent if i look at direct and

55:09

organic 12.24

55:12

so i can see how different channels work

55:14

together and so if i look at top

55:17

conversion paths as an example i can

55:20

actually see

55:21

what channels how channels work together

55:24

to drive the conversion so in this

55:25

example i can see over the last 30 days

55:28

that my top channel grouping was direct

55:32

times two meaning that somebody came to

55:35

the website directly meaning they typed

55:37

in the url in the browser or they

55:40

bookmarked it and came to the site okay

55:42

they came the first time but didn't

55:44

convert but then they came back a second

55:46

time via direct and then convert it so

55:48

that combination is my top conversion

55:51

combination of the last 30 days my

55:54

second best conversion grouping is

55:58

organic search and direct meaning that a

56:01

user came to the website via organic

56:03

search first did not convert and then

56:06

came back via direct the second time and

56:09

converted so basically what analytics

56:11

does is give credit to the last referral

56:15

meaning if you came to the website via

56:19

referral or referring website and

56:21

converted then the referring website's

56:23

gonna get the credit for the conversion

56:25

but analytics does a good job of showing

56:28

you how different channels work together

56:30

so a channel may drive a lot of traffic

56:33

like organic search but that traffic may

56:35

not convert the first time around for a

56:38

number of different reasons whether it

56:39

could be brand recognition price

56:42

shopping reading content whatever the

56:45

case analytics is able to measure

56:48

if that channel actually did contribute

56:51

at a later point and in this case we

56:53

could see organic search drove traffic

56:55

that didn't convert but that traffic

56:57

came back a second time via direct and

57:00

did convert so that's our second best

57:03

channel grouping and so the

57:04

multi-channel funneling report top

57:07

conversion pass to me is a good report

57:09

to look at so you can actually see not

57:11

only a channels work together but you

57:13

can see sources and mediums and

57:15

campaigns and how all that all those

57:18

different campaigns from different

57:20

sources work together to convert so

57:23

that's just a good report to look at

57:25

there are so many different reports

57:28

available in analytics there's so many

57:31

that we haven't even gotten to yet so my

57:33

advice if you look at the demo report

57:35

you can get a feel for each of these

57:38

reports under each section whether that

57:40

be audience acquisition behavior or

57:43

conversions take a look at these reports

57:46

see what makes sense to you see what you

57:48

can use to improve your website

57:50

performance we're gonna jump into google

57:53

analytics directly and spend all of our

57:56

time there because it's about learning

57:59

practical applications so

58:01

goals are important goals uh let me just

58:04

say this goals are in analytics

58:08

something that should be aligned with

58:10

your business and

58:12

we call goals that are aligned with your

58:14

business kpis are key performance

58:16

indicators so it's very important as a

58:19

precursor that you know how to set up

58:22

goals in google analytics because if

58:25

you're using google analytics you want

58:27

to measure everything against a goal so

58:30

without further ado

58:32

let's jump right into google analytics

58:34

so if i go to google analytics and i log

58:37

in okay what i want to do

58:40

is go down to admin click on admin here

58:44

and admin will take you to basically a

58:48

screen that looks like this where you

58:49

have a account column you have your

58:51

property column and then you have your

58:53

view column now the view column is where

58:56

you're going to go to set up goals okay

58:59

so every view

59:01

in every property has up to 20 goals

59:05

okay so by default in analytics you're

59:08

going to have at least one view for your

59:11

property so if i have a property i'm

59:13

going to have at least one view but if i

59:15

happen to set up multiple views like you

59:17

see here then i know for every view i

59:20

set up i have 20 goals to work with so

59:24

where are those goals so under the view

59:27

i'm going to click on goals and now i

59:29

can see i have 20 at my disposal now you

59:33

can see here

59:34

by clicking on the recording column i

59:37

can see i have in this particular

59:40

property this particular view i have

59:42

five goals that are active so you can

59:45

use up to 20 but you don't have to have

59:47

20 active okay you can have one active

59:51

two active my recommendation at least

59:53

have one goal again when you set up a

59:57

goal you're gonna measure everything in

59:59

analytics against that goal okay so

60:03

in this case we have five particular

60:05

goals we're measuring so we have five

60:07

active out of 20 total so

60:11

if i don't no longer want to use a goal

60:14

i could simply just turn it off if i

60:16

want to continue using it just turn it

60:18

on okay it's that simple you could turn

60:20

on and off goals so here i already have

60:24

five set up so if you want to set up a

60:26

new goal the one thing you need to know

60:30

in google analytics is in order to set

60:32

up a new goal okay you need to have edit

60:35

access at least the view level i would

60:38

say at the property level so you want to

60:40

make sure whoever is in charge of google

60:43

analytics for your organization or if

60:45

you're in charge okay you simply just

60:47

want to go to user management and user

60:50

management you want to make sure the

60:51

email address you're using to log into

60:55

google analytics has at least edit

60:58

permissions so you're going to need edit

61:00

permissions to add new goals so

61:04

i have edit permissions i'm going to go

61:06

to goals and i want to set up a new goal

61:09

but before we jump in and set up a new

61:11

goal what is it that we want to achieve

61:14

that's really the question we want to

61:16

ask ourselves what is the goal of the

61:19

website well if it's somebody

61:22

downloading something okay are you

61:24

measuring that download via an event

61:27

okay are they filling out a form

61:29

submission before they download so if

61:31

they submit that form submission is that

61:33

the goal do you have an e-commerce site

61:36

is somebody purchasing something so

61:38

these are things you want to ask

61:39

yourself before you actually set up the

61:41

goal what is it that i'm trying to

61:43

measure now when you actually do go to

61:46

set up a goal you're going to click on

61:48

the red cta button that says new goal so

61:51

analytics actually has some templates

61:54

set up for you okay you can see them

61:56

here okay if you're somebody's

61:58

registering online or creating an

62:00

account or

62:02

reading review downloading something

62:05

sharing something you could choose all

62:07

of these options here what i normally do

62:10

is choose custom 99 of the time i'm just

62:13

gonna choose custom it doesn't really

62:15

matter if you use the template or not

62:17

it's just a template is basically some

62:20

free pre-filled configurations but my

62:23

recommendation is always just go with

62:26

custom you want total control over how

62:28

to set up your goal so

62:31

we already have in mind what type of

62:34

goal we want to set up so for example if

62:36

somebody goes to

62:39

fill out a form submission and they go

62:41

to a thank you page after that well

62:43

what's the url of that thank you page we

62:45

want to be able to track how many people

62:47

go to that page because we know

62:50

if somebody does

62:52

type in or fill in a form submission and

62:54

goes to that page we know that they

62:56

filled out the form and so for example

62:59

if i go to continue i'm going to name my

63:02

goal first so i'm going to say thank you

63:04

page as an example notice analytics is

63:08

assigning an id so notice this is goal

63:12

id 15. that means that that's the next

63:16

available goal there are 20 goals

63:18

available in analytics and so what

63:20

analytics does is they group goals

63:23

together so 1 through 5 6 through 10 11

63:26

through 15 16 through 20 into goal sets

63:31

so for example goals 16 through 20 is

63:34

part of goal set four and why does

63:36

google analytics combine these goals

63:39

into different goal sets well because

63:41

it's easier to ma measure

63:44

and look at data by goal sets so for

63:47

example if i jump into any report here

63:51

if i go to all traffic channels and i

63:53

want to measure how many goals by

63:56

channel i can look at it by goal set so

63:59

if i have goal set 1 selected then i

64:02

know any goal i have active in there

64:04

between goal id 1 through goal id 5 i'm

64:07

going to be able to see those goals in

64:09

goal set 1 and now i'm going to be able

64:11

to measure every goal i have active and

64:14

goal set one against the channel so if i

64:16

choose goal set two whatever goals are

64:18

active there goal set three etc notice i

64:21

don't have any goals 16 through 20

64:24

active that are in goal set four

64:26

therefore i don't have that option

64:28

available to me so back to admin the

64:30

bottom left navigation again goals okay

64:34

we want to measure somebody going to the

64:36

thank you page we have edit access we're

64:39

going to choose custom as our goal set

64:42

up we're going to type in a goal name

64:44

i'm just going to say thank you okay

64:45

this is goal 15. now this is the

64:48

important part google analytics has four

64:51

different goal types destination

64:54

duration pages per session or screens

64:57

per session so screens per session is

65:00

related to mobile because google

65:02

analytics measures mobile app activity

65:06

and then you have an event so we're

65:07

going to cover all four of these but for

65:09

the sake of this simple example i'm

65:11

going to choose destination why because

65:13

if somebody goes to that thank you page

65:16

we're going to go ahead and put in the

65:18

thank you page as the goal the goal url

65:22

so for example destination is my choice

65:26

i'm going to click continue now this is

65:28

where i'm going to put the url so if my

65:32

url is just simply thank you.html i can

65:35

just go ahead and put thank you.html

65:38

or if it's just thank you then i can

65:40

just do thank you depends on the website

65:43

depends on the uri structure so whatever

65:47

that url is that's what you're going to

65:49

put in and when you're done you can

65:51

verify it so what google analytics does

65:54

is actually

65:55

will verify over the last seven days if

65:58

anybody's actually gone to that

66:00

particular page so if we click verify we

66:03

can see zero percent conversion rate so

66:06

that tells us that if this is the

66:08

correct url then we've had zero percent

66:12

people go to that page this is just an

66:15

example however if you didn't see a

66:18

conversion then you might want to make

66:20

sure you check the url here that you put

66:23

in and if you do see a conversion rate

66:25

then you know it's working so google

66:27

analytics actually has options so

66:30

we're saying thank you is equal to so

66:33

the destination url is equal to thank

66:36

you or thank you.html or thank you.esp

66:40

or whatever that thank you page is okay

66:42

you do have options so if you have a

66:45

long url you could say begins with and

66:48

you could say begins with say thank you

66:50

so this is the logic we're going to say

66:52

hey if anybody goes to a url that begins

66:55

with thank you then count it as a goal

66:58

or you could say

66:59

equals to so if anybody goes to a url

67:01

that equals two thank you then count it

67:04

as a goal you have one more option here

67:06

regular expression so google analytics

67:09

understands the language of regular

67:11

expressions so regular express

67:13

expressions are just special characters

67:16

used to communicate with google

67:18

analytics in order to hone in on exactly

67:21

what you're trying to

67:23

track so we can always say you know

67:25

starts with or ends with so we can you

67:29

know use characters like the dollar sign

67:32

ends with or begins with so we can

67:34

always do that so you can use regular

67:36

expressions as well if you're familiar

67:39

with regular expressions if you're not

67:41

then you don't have to use them but

67:43

there are special characters where that

67:46

you can insert in that are used as

67:49

regular expression so if you're not

67:50

familiar with regular expression don't

67:52

choose that option you can choose the

67:54

other option of equals to or begins with

67:57

now note that on all three of these

68:00

options i didn't put the domain so if my

68:03

domain is ama dashfoundation.org

68:06

slash and then thank you i don't need to

68:09

put the domain because analytics is

68:12

already knows what domain we're tracking

68:15

so you don't have to put in the domain

68:18

here when you're entering in in this

68:20

case the google url so you can omit the

68:23

domain so when you put in that url

68:26

you know that you have three options to

68:29

work with and then you always always

68:32

want to verify that goal url you always

68:35

want to verify it because if you see

68:37

zero percent conversion and in this case

68:40

of the last seven days then that should

68:42

tell you something either your goal is

68:44

not set up correctly or you just don't

68:46

have any conversions either way you want

68:48

to double check that now when it comes

68:51

to the destination url goal you do have

68:54

an option here for funnel so if i turn

68:57

on funnel then that means i have the

68:59

ability to track how people went through

69:02

my funnel so if i have a

69:05

cart

69:06

and i want to be able to check how many

69:08

people go in and out of the cart then i

69:11

have the option of adding specific pages

69:15

as part of the car so we could say you

69:18

know step one which is basically cart we

69:22

could say step two

69:24

is

69:25

billing information that could be slash

69:27

billing we could see step three is

69:29

shipping information slash shipping and

69:32

then step four could be you know confirm

69:35

and that could be slash confirmation so

69:38

whatever your url structure is for your

69:41

cart and it doesn't necessarily have to

69:43

be a cart basically all i'm doing is

69:45

putting a series of steps with urls as

69:49

each step and why do i want to do that

69:51

because i can then track how many people

69:53

go through my funnel that i've created

69:56

okay so here i can see this is my funnel

69:59

that i've created for this particular

70:02

goal okay and the funnel is only

70:04

available for the destination url so the

70:07

funnels available if you want to see

70:09

traffic through the goal okay and how

70:12

people go through the funnel and where

70:14

they drop off now you have an option

70:16

here to make the first step require so

70:19

if you make that first step required

70:21

then that means you're measuring the

70:23

funnel through the first step only now

70:26

if i turn that off then i'm monitoring

70:29

the funnel through each step meaning

70:31

that i can measure people as they drop

70:33

in and out of the funnel where if it's

70:36

required the first step then i'm only

70:38

measuring traffic as it enters in the

70:41

top of the funnel so you have that

70:44

option available to you the funnel and

70:46

then for all goals you do have a value

70:50

so if somebody did actually convert okay

70:54

google analytics is going to count it as

70:55

a conversion and you can assign a value

70:58

so if you're not an e-commerce website

71:01

then you may want to think about

71:03

assigning value if you are an e-commerce

71:05

website then analytics has the ability

71:08

to track e-commerce revenue for your

71:11

website so you don't need to add a value

71:13

but in this case let's just say your

71:16

non-profit organization and you're

71:18

collecting donations and

71:20

on average over the past year every

71:23

donation that somebody contributed was

71:25

equal to five dollars well you can just

71:28

go ahead and put five dollars in there

71:30

as the

71:32

value for that goal so that means that

71:35

if somebody did go to in this example

71:38

slash thank you and convert analytics is

71:41

going to count it as a goal and then

71:43

assign five dollar value

71:46

alongside that goal so if you're

71:48

non-e-commerce if you're say a

71:50

non-profit like this organization or

71:53

your b2b and you want to track some

71:55

value then you have that option there so

71:58

with the destination url goal you have

72:00

the option of adding a funnel with all

72:02

goal types you have the option of adding

72:05

a value all goal types and we're going

72:07

to go through the rest of them you have

72:09

the option of verifying that goal so

72:13

that's the structure of setting up a

72:14

goal destination url is just one goal

72:18

type we're going to talk about the other

72:20

three goal types because in google

72:22

analytics there are four goal types

72:25

again destination is one of them with

72:27

destination as you do have the option

72:30

with all goal types is you have to be

72:33

able to choose your logic here so we're

72:35

going to cover that with the other three

72:38

but just know when you set up a

72:39

destination url goal you have the option

72:42

of adding a funnel now when you actually

72:44

do set up a funnel what's going to

72:46

happen is analytics is going to measure

72:48

traffic as it goes through the funnel so

72:51

where do you look for that funnel

72:53

information well you want to get out of

72:55

admin you want to go to the left side

72:57

navigation you want to click on

72:59

conversions then goals then funnel

73:02

visualization so based on the funnel you

73:05

set up you're going to be able to see

73:07

traffic as it goes through the funnel so

73:10

notice on this particular funnel we

73:13

don't have the first step required why

73:16

because i could see traffic as it goes

73:18

in and out of each step of the funnel so

73:21

let's go through this funnel and see how

73:23

people react so here i can see the first

73:26

step is the store front page so

73:29

over this particular period of time i

73:31

had 84 sessions enter the storefront

73:36

page so out of those 84 i can see 21

73:40

left the storefront page 63 went on to

73:44

the next step in the funnel which is the

73:47

cart page i can then see 24 people went

73:51

on to the cart page directly and five

73:54

exited the site altogether okay so that

73:57

gave me 87 total and from 87 i saw that

74:02

82 went on to the next page with the

74:05

next step what analytics does is they

74:07

give you a percentage so in the first

74:09

step we had 63 move on to the car page

74:12

out of 84 that's 75

74:15

so from the cart page to the create your

74:17

account page we had 94

74:20

move on so

74:22

we didn't have anybody entering the

74:24

create your account page we didn't have

74:25

anybody leave the create your account

74:27

page so if 82

74:30

82 create your account and then we have

74:32

82 move on to the payment page so that's

74:36

a hundred percent okay we have one exit

74:38

so if 81 that proceeded to be on the

74:42

payment page which was purchased so 81

74:45

of 82 is 98

74:48

and we started with 84. so that gave us

74:53

plus the 24 that we accumulated along

74:56

the way so that gave us a 75 percent

75:00

funnel conversion rate so 75 of the

75:03

people who entered in the funnel went on

75:06

to purchase okay so don't be confused

75:09

with the overall ecommerce conversion

75:11

rate so 75 is the funnel conversion rate

75:15

the overall conversion rate for this

75:18

particular goal is

75:20

18.45

75:21

over this particular period of time why

75:24

because that takes into account all

75:26

sessions that have won to the website so

75:28

18

75:29

of all traffic went on to convert but

75:33

those that did go into the funnel 75

75:36

converted so

75:37

that's a look at the funnel so if you

75:40

set up a funnel that's what it's going

75:42

to look like you have the option to

75:44

measure everything from step one and

75:46

beyond or measure as traffic goes in and

75:49

out of the funnel so the purpose of this

75:52

is we're going to be able to see where

75:54

traffic drops off how effective our

75:56

funnel is what pages we need to address

76:00

in that funnel okay so that's the whole

76:02

point of the funnel and the funnel is

76:04

available with the destination url goal

76:07

so if i go back to admin if i go back to

76:10

goals under the view i can actually see

76:13

what that funnel looks like so here we

76:15

chose regular expression so this is what

76:18

the url is okay you can see our funnel

76:22

in each of the steps we have set up

76:24

notice we're using regular expressions

76:26

here and then if we verify this goal we

76:29

could see over the past seven days 19

76:33

conversion rate so that tells me

76:35

something's working in this particular

76:38

with this particular goal because we do

76:40

have a conversion rate okay so that's

76:42

the destination url goals let's now talk

76:45

about the other three types of goals so

76:48

the next goal type we're going to talk

76:50

about

76:51

is pages per session so if you're not

76:54

sure what type of goal to set up for

76:56

your website at the very least you

76:59

should try and set up either duration

77:02

related goal or pages per session

77:05

related goal so let's talk about the

77:07

pages per session so basically what this

77:10

goal is going to allow us to measure

77:12

is for example if we set the goal to

77:16

three pages per session then we're going

77:19

to be able to measure

77:21

if how many people went to the site and

77:25

looked at three pages per session so

77:28

let's take a look at that goal so if i

77:30

open up the goal here i can see three

77:32

pages per session is what we're naming

77:34

it so basically what we're asking

77:36

analytics to do is anything greater than

77:40

two pages which would be three and

77:42

beyond count as a goal so if anybody

77:46

comes to the site looks at more than two

77:48

pages three pages or more then it's

77:52

going to count as a goal and so here we

77:55

can verify it so if we verify it over

77:57

the last seven days we could see a four

78:00

point one two percent conversion rate

78:02

and that tells me that four percent of

78:04

my traffic over the last seven days

78:07

looked at at least three pages or more

78:11

so you're probably asking yourself well

78:14

what number should i put in for the

78:16

actual

78:18

variable so in this case we see two well

78:20

what you want to do is you want to look

78:23

at

78:23

on average let's just say year to day

78:26

you want to make sure you have

78:27

statistical significance so you want to

78:29

look at a period of time so if you go to

78:32

analytics go to audience okay and then

78:35

if you go to overview and if i change my

78:38

date range to year to date i could see

78:40

on average right now i have 1.21

78:44

pages per session so that's on average

78:48

so we don't want to make our goal one

78:51

page we don't want to make our goal two

78:53

pages we want to make it three so we

78:55

want to be able to basically

78:58

measure

78:59

at a higher rate okay why do we want to

79:02

measure at a higher rate because if 1.21

79:04

is the average then two pages per

79:07

session really isn't moving the needle

79:09

so what we really want to do is get

79:12

people to stay on the site longer look

79:14

at pages

79:15

more

79:16

during their session so look at more

79:18

pages and so

79:20

we want to be able to see what segment

79:22

of the audience is looking at more pages

79:25

what channels driving traffic that's

79:27

looking at more pages what pages are

79:30

contributing to more pages per session

79:32

so the whole idea is you want to hone in

79:35

on what your goal is and see what's

79:38

working and then see what's not working

79:40

so you can make adjustments the whole

79:43

idea behind google analytics is to

79:45

improve website performance and so for

79:49

average is 1.2

79:51

then if we change it to just two it may

79:54

not be good enough so in this case you

79:56

know we want to up the bar a little bit

79:58

so we're going to choose three now you

80:00

can choose four or five that's perfectly

80:02

fine just know if your average is 1.2 i

80:05

wouldn't choose one page per session as

80:08

my goal and i probably wouldn't choose

80:10

two so i'd set the bar a little bit

80:12

higher now the third goal type available

80:15

in google analytics is also engagement

80:18

related and that's duration so just like

80:20

pages per session

80:22

we can measure how long somebody stays

80:25

on the website and we could set up a

80:27

goal for that so in this case i have a

80:29

goal set for one minute 30 seconds so my

80:33

goal type is duration so if i click

80:36

continue then basically i'm asking

80:39

analytics in this case anybody who stays

80:42

more than one minute and 30 seconds on

80:44

the website count it as a goal and so

80:48

before you actually put in the number of

80:50

hours minutes and seconds you want to

80:53

look at that average so if you go back

80:55

to audience overview here i can see a

80:58

minute and seven so do we want a minute

81:00

and 30 maybe we could do that maybe we

81:03

can go with two minutes so again the

81:05

whole point is you want to set the bar a

81:08

little bit higher than what the average

81:10

is and so here i could see over the last

81:12

seven days if i verify this particular

81:15

goal i can see eight percent of my

81:18

traffic over the last seven days stayed

81:21

on the site at least one minute and 31

81:25

seconds okay they stayed greater than

81:27

one minute and 30. and so the whole

81:29

point is you can hone in because this is

81:31

a goal i can go in this is goal okay

81:35

this is a goal here

81:36

and so i could see that this is goal 13.

81:40

so now i can go

81:42

to acquisition as an example i can go to

81:45

channels as an example since this is a

81:48

goal this is gold 13 so that would be in

81:51

goal set 3

81:52

so i can actually see what channel is

81:55

basically driving that goal okay in

81:58

other words what channel is driving

82:01

traffic that is staying on the side at

82:03

least one minute and 30 seconds and so

82:06

that's the whole idea behind goals so

82:09

likewise for pages per session we can go

82:12

into channels and here i can see

82:15

we've have a

82:16

over this period of time year to date

82:19

pages per session we have three percent

82:22

conversion rate and here i could see

82:25

for example organic search has a 13

82:29

conversion rate here i could see

82:31

social media has a 10

82:33

so i could see that or people coming

82:35

from organic search are staying on the

82:38

site longer or they're looking at more

82:40

pages than any other channel so

82:44

just like duration or destination or any

82:47

goal you set up you can measure that

82:49

goal against any dimension just because

82:52

it's engagement doesn't mean you can't

82:54

you absolutely can and so the whole

82:57

point of engagement really goals is to

82:59

figure out what's driving traffic to the

83:02

site but what traffic is engaging so you

83:05

want to be able to pinpoint that so you

83:08

can improve website performance now the

83:11

fourth goal type available

83:13

in google analytics is an event so if

83:16

you click on new goal you close custom

83:19

click continue you have the option to

83:22

choose an event so

83:24

an event is something that you can

83:28

measure on your website that analytics

83:31

can't measure by default so if you want

83:33

to measure pdf downloads or clicks on

83:35

buttons or clicks on play buttons on a

83:38

video or click on a submit button or

83:41

click on an external link i mean you can

83:43

measure pretty much anything with an

83:45

event

83:46

then you want to be able to turn that

83:49

event into a goal so let's quickly

83:53

summarize what an event is so again we

83:55

want to be able to measure

83:57

a particular

83:59

event that happens on the website so in

84:01

order to do so we need to identify that

84:04

event

84:05

so if i go to for example

84:08

this particular website here and i want

84:10

to measure how many times

84:13

somebody clicks on the donate now button

84:16

well if i met i can measure that as an

84:18

event so when you set up an event in

84:20

analytics you have to actually assign a

84:23

category and an action for that event so

84:27

that's the first thing you need to do

84:29

when you identify an event related goal

84:32

first you need to set up the event in

84:34

order to set up the event you need to

84:37

assign a category an action okay so once

84:40

you identify what you want to track as

84:42

an event on your website you're actually

84:45

going to go in a tag manager or have

84:47

your webmaster go into tag manager and

84:50

set up a tag and in that tag they're

84:53

going to assign that particular category

84:55

in action and so here you can see

84:58

we have this set up our category is

85:01

named donate now and our action is click

85:05

and that's what we want to do we want to

85:07

measure how many people click on that

85:09

donate now button so anytime somebody

85:11

does that then the category donate now

85:14

is going to appear in analytics with the

85:18

action click so when you actually do set

85:20

up an event you can go into analytics

85:23

and

85:24

you can test that event so if i go to

85:26

the website and i click donate now okay

85:29

the reason why i have this as an event

85:32

is because i'm taking to

85:34

a third party website to handle the

85:36

donations so here i can go into

85:39

analytics and now i can see a category

85:42

is being fired for header donate with

85:44

the action click so that's my category

85:47

and that's my action so that category in

85:50

action is what is firing after somebody

85:53

clicks on the donate now button so if i

85:56

want to turn this event into a goal i

86:00

can easily do that now that i've set up

86:02

the event now that i've identified the

86:04

category in action i want to go back to

86:07

admin and

86:09

set up the event with these parameters

86:12

in place so just turns out we already

86:15

have the goal set up so let's go through

86:17

how this goal was set up so first we

86:19

chose custom we chose event

86:22

we gave it a name so as a best practice

86:25

when you actually set up a goal as an

86:28

event or turn an event into a goal i

86:32

would add the prefix event colon to it

86:35

and then that way when you're

86:36

identifying goals and you're reporting

86:38

you know it's an event so i'm going to

86:41

click continue

86:42

and now that i've actually have set up

86:44

the event already in google tag manager

86:47

i've given it a category give it an

86:50

action okay see here you can see we have

86:52

a regular expression set up so anything

86:55

with the header donate or donate is

86:58

going to fire this goal so over the last

87:02

seven days i have a 0.81 conversion rate

87:05

okay i could have easily put in

87:08

equals two and put in whatever the

87:10

action what or the category which is

87:12

donate now

87:13

or i could have put action equals click

87:16

i could have done that as well so let me

87:19

show you another example here so if i do

87:21

this

87:23

custom continue event donate now here's

87:27

my goal id

87:28

it's going to be an event so all i need

87:31

to do is put in the category in action

87:33

so donate now and then click so that's

87:37

all i have to do and that's my goal so i

87:39

can verify it okay to see if anybody's

87:42

fired it and basically that's what i

87:45

need to do to turn that event into a

87:48

goal okay so you need to set up for an

87:50

event first you need to identify the

87:52

event set it up in google tag manager

87:55

which is another platform and once

87:57

you've done that

87:59

then you have your category in action

88:01

once you have your category in action

88:03

you're again going to go into analytics

88:06

and then simply put in that category and

88:08

action into the appropriate fields to

88:11

set up your event related goal now all

88:14

events don't have to be turned into a

88:17

goal if you actually do set up an event

88:20

and you're just not worthy of a goal

88:23

meaning it's not a kpi or doesn't align

88:27

with your business goals well don't fret

88:29

you can always just go to behavior okay

88:32

you can always go to events

88:34

you can always go to overview and

88:36

measure your events that way so here you

88:39

can see

88:40

all of our events that are fired now we

88:42

do have this one turn into a goal so if

88:44

it's important for a business then we

88:46

want to make sure we convert that

88:49

particular event into a goal okay if

88:52

it's not important for example

88:53

somebody's just clicking on a social

88:55

button then you don't necessarily have

88:58

to turn that event into a goal if you

89:00

don't want to know that it's sitting

89:02

here under events under behavior so the

89:05

point i'm trying to make here if it's

89:07

important to your business and you're

89:09

already tracking it as an event via

89:11

google tag manager then feel free to

89:14

turn it into a goal all you need is that

89:16

category all you need is that action and

89:19

so

89:20

so one final note on that event related

89:22

goal

89:23

just like any other goal you can add a

89:25

value okay so

89:27

if i have an event set up i can choose

89:30

to add a value here or

89:33

in google tag manager if i've assigned a

89:36

value to that event so if i go back to

89:40

the actual event in google tag manager

89:42

you can see i have a value set up for

89:44

one dollar then i could just go into

89:46

analytics and say you know what i

89:47

already have the value added so go ahead

89:50

and use the value added in google tag

89:53

manager okay so i'm going to choose yes

89:56

now if i choose no i have the option to

89:59

add the value here just like i would

90:01

with any other goal so just keep that in

90:04

mind you can add a value to any goal

90:07

type with an event related goal you can

90:10

add the value right into the tag in

90:14

google tag manager just as i've done

90:16

here so remember when you actually set

90:18

up your goals whether it's a destination

90:20

pages per session duration or an event

90:24

you can just go ahead and choose that

90:26

goal set that it's in and

90:28

measure any dimension against that

90:32

particular goal so here i can see e

90:34

newsletter sign ups by channel

90:37

i can go into another goal set here i

90:40

can see contact form submissions okay i

90:42

can see

90:43

what particular channels driving contact

90:46

form submissions okay so just know that

90:48

you can align a goal against any

90:51

dimension so if you have e-commerce you

90:54

don't have to set up for goal for that

90:57

that's separate but if you want to take

90:59

a look at your goals and analytics

91:02

on its own you can just go to

91:04

conversions goals overview here i can

91:08

actually get a good sense of how my

91:11

goals are performing over a period of

91:13

time so again if i choose for example

91:17

year to date now i can see based on the

91:20

goals i've set up how many total goal

91:22

completion value which takes into

91:24

account the value we've added into these

91:27

goals okay the total conversion rate and

91:29

here i can see it broken down by the

91:32

goal i actually have set up and i can

91:34

see it by

91:35

page or i could see it by source and

91:37

media so i could see google organic is

91:40

driving the most gold completions then

91:42

google cpc direct and then i could see

91:46

some others in here as well contributing

91:48

to goals now i do want to point your

91:51

attention to another report in google

91:54

analytics that does take into account

91:57

goals and that's multi-channel funneling

91:59

so again under conversion goals

92:02

multi-channel funnels if i go to

92:05

assisted conversions i can actually see

92:08

what channel in this example

92:11

is assisting with the conversions i've

92:14

set up and so what do we mean by

92:16

assisted conversions well that means

92:18

that if a channel let's just say organic

92:22

search drove traffic to the website and

92:24

that traffic didn't convert when it

92:27

arrived at the website and left but it

92:29

came back a week later via another

92:32

channel let's just say email and when

92:34

they came back via email they did

92:36

convert during that session well what

92:38

analytics does is they give an assist to

92:42

organic search because they help drive

92:45

the traffic to the website so it's

92:47

similar to the game of basketball if i

92:49

have the ball and i pass it to my

92:52

colleague and my colleagues the one who

92:54

scores because they had the ball last

92:56

well they get the credit for the point

92:58

i.e the conversion but i get an assist

93:01

and so analytics works the same way

93:04

they're always going to give credit to

93:07

the last click or direct conversion but

93:10

they will give credits to the channel in

93:13

this case that assisted with the

93:15

conversion so that's under assisted

93:17

conversion and that's based on the goals

93:21

you have set up you can highlight any

93:24

particular goal here if i want to hone

93:26

in on say to donate clicks only then i'm

93:30

going to be able to see what contributed

93:33

to

93:34

that particular goal so there's another

93:37

report in here top conversion pass that

93:39

i think's important so after you set up

93:41

your goals you can actually see

93:44

what channels in this particular example

93:46

help to drive conversions again this is

93:49

year to date so i can see all the

93:51

different combinations of channels that

93:54

work together

93:55

to

93:56

contribute to a conversion so again i

93:58

can choose a specific goal or

94:02

i can choose all my goals so those two

94:05

reports are under multi-channel

94:07

funneling there's also another report

94:09

that i think is good that's time lag

94:11

meaning how long did it actually take

94:14

somebody to

94:15

convert so here you can see most of our

94:18

conversions 265 year-to-date happened on

94:22

the day somebody arrived on the website

94:24

but i could see i did get some

94:25

conversions a day later two days later

94:28

etc so you have time lag top conversion

94:31

pass assistant conversions they're all

94:33

under multi-channel funneling and

94:36

they're all available after you set up

94:38

at least one goal and so if you're not

94:41

sure what goal to set up okay don't fret

94:44

you can always at least set up an

94:46

engagement related goal so that's

94:48

available to you duration pages per

94:51

session you also have destination and

94:53

event tracking and they're all available

94:56

to you you have 20 available per view

94:59

now if you're not quite sure exactly

95:03

what type of goal to set up there is an

95:05

option available in analytics and that's

95:08

the gallery so you can always import a

95:10

goal from the gallery so in other words

95:13

we could take a look at what other

95:16

people have set up in terms of goals so

95:19

you just have to click on the button

95:20

import from gallery and i'll take you to

95:23

the gallery and you'll be able to see

95:25

what other goals others have set up

95:27

today we're going to talk about how to

95:29

set up event tracking in google

95:32

analytics so welcome and let's get

95:35

started so many of you out there have a

95:38

website similar to the one i'm looking

95:40

at now this is a non-profit that i work

95:42

with i'm a foundation and

95:45

like this website and probably like your

95:48

website you probably have some

95:49

interactivity on there that

95:52

needs to be tracked for example buttons

95:55

uh if you have buttons like this one

95:57

that says donate or newsletter sign up

96:00

or there's a pdf download or

96:03

a video that needs to be you know

96:05

tracked based on the amount of people

96:08

who click on the play button so i mean

96:10

all sorts of inter activity on a website

96:13

have you ever wondered how to track that

96:15

well there is a way to track that

96:17

because by default google analytics

96:20

can't track

96:21

interactivity and engagement on your

96:24

website like you probably want to have

96:26

your website tracked so if you have

96:28

buttons and videos and things of that

96:30

nature that you want to attract but

96:32

you're going to need event tracking and

96:34

if you're in analytics and you're always

96:36

wandering around the data and you happen

96:38

to find yourself under events well if

96:41

you want events on your website and you

96:44

want data to populate under behavior top

96:47

events you're going to need to set up

96:50

event tracking so event tracking

96:52

is a two-part process and we're going to

96:55

talk about that two-part process the

96:57

first part of that is to identify what

97:00

you want to track okay so if we go back

97:03

to our example website here i'm a

97:05

foundation again we noted there's a lot

97:07

to track here we gotta donate now bob we

97:09

got a newsletter sign up we have some

97:11

social icons okay we got a donate now

97:14

button here we got a play button here

97:17

got all sorts of interactivity you know

97:19

we got a button here that says you know

97:21

purchase tickets for an upcoming event i

97:23

can go throughout the website and find

97:26

different buttons and things to to track

97:29

let me just say this there's no shortage

97:31

of what you can track on your website

97:34

with event tracking so event tracking is

97:37

just basically in layman's terms

97:39

tracking engagement on your site because

97:41

google analytics by default is only

97:42

going to track page view data meaning

97:45

how somebody got to your website what

97:48

page they looked at how long they stayed

97:50

on that page what page they left from

97:53

more or less their timing how long

97:55

somebody stays on the website and what

97:56

pages they look at so there's more to a

97:59

website than just how long somebody

98:01

stayed on a page and so in this example

98:04

we want to be able to track everything

98:06

here not just the donating album but

98:08

everything because once you get the hang

98:10

of event tracking then it's very easy to

98:13

set up okay so step one identify what

98:17

you want to track okay so there's a lot

98:19

we want to track we're just going to use

98:21

one example to start off with and that's

98:23

going to be this donate now button okay

98:25

so

98:26

this donate now button we want to track

98:29

now we have a newsletter sign up we have

98:31

facebook and and that's fine you could

98:34

track all that but for the sake of

98:36

going through a step-by-step process

98:38

today let's just focus on the donate now

98:41

button let's focus on the donate now but

98:43

then we'll come back and start tracking

98:44

these other things but this is what we

98:46

want to track to start out with okay so

98:48

step one identify what you want to track

98:51

now when it comes to tracking events on

98:53

a website you want to identify those

98:56

events so we did that by choosing this

98:58

donate now button now once we identify

99:01

what we want to track we need to assign

99:05

two parameters

99:07

for that event so with event tracking

99:10

you have three parameters but one is

99:12

actually optional so you have two main

99:15

mandatory parameters that you have to

99:17

assign to everything you want to track

99:19

in your website and that's the category

99:21

and then the action so event label or

99:25

label is the third parameter but again

99:27

that's optional okay so

99:30

basically when we identify an event on

99:32

our website we want to assign it a

99:34

category and an action okay so why do we

99:38

want to assign it a category in action

99:40

because when we're in analytics under

99:43

behavior under events top events we

99:46

could see we have different categories

99:48

here and we have different actions we

99:50

have different labels so if i click on

99:52

any one of these dimensions i'm going to

99:54

be able to see some of the parameters

99:57

i've entered in for previous events i'm

99:59

tracking okay so the whole idea is you

100:02

want to be able to group different

100:04

events together into a category and

100:07

assign an action and assign a label to

100:09

it that's really what you're doing

100:11

you're just grouping and identifying the

100:13

events you're trying to track and so in

100:16

this case i have this donate now button

100:19

sitting in the header okay in fact i

100:21

have a lot of things sitting in the

100:22

header so

100:23

if i wanted to and i want to track all

100:25

these buttons i can create a category

100:27

called header and then if i track all

100:29

these buttons all these buttons can sit

100:31

in that same category if i wanted to or

100:34

i can create a separate category for

100:37

each of these buttons it's up to you how

100:39

you organize your categories because

100:41

basically all you're doing is giving a

100:44

name to what you're trying to track and

100:45

the name is equivalent to a category so

100:48

in this case the donate now button's

100:50

very important i'm just going to call it

100:51

category header donate now i need to

100:54

give an action to each category and so

100:58

in this case i'm just going to say click

101:00

because that's what the action is doing

101:02

it's it's somebody's taking the action

101:03

of clicking now if it's a video and it's

101:06

a play button i can assign an action of

101:10

play it's up to you whatever you name

101:13

these parameters you just need to be

101:15

organized and methodical about what you

101:17

name it that's all and so in this case

101:20

header donate and then click okay and so

101:23

that's our category in action and so

101:25

that's clearly step two so step one

101:28

identify what you want to track step two

101:30

assign a category action and or label

101:34

but remember label is optional so if i

101:37

go back into analytics here i can see

101:38

some categories and if i click on action

101:41

i can see some actions that i've named

101:44

now step three so we've identified in

101:47

step one what we want to track we've

101:49

assigned a category in action so step

101:52

three is going into google tag manager

101:57

to set up the event okay so if you're

102:00

not familiar with google tag manager

102:02

then you can easily just you know do a

102:05

google search for google tag manager and

102:09

basically you'll have all sorts of

102:11

information on it there's a good video

102:13

overview of tag manager here that you

102:16

can watch so tag manager basically

102:20

is what we want to use to set up event

102:24

tracking now tag managers use for a lot

102:26

of different things but the main thing

102:28

we're doing here is setting up an event

102:31

for our website and so i'm logged in to

102:34

the same email address i'm using for

102:36

analytics okay so now i'm in tag manager

102:40

and i want to set up my event for this

102:43

donate now button so what do i need to

102:46

do well for every event i want to set up

102:49

i need to set up a tag okay so if i go

102:52

to tags i can see i already have some

102:54

tags set up and some of these are events

102:57

and so when you actually set up a tag i

103:00

recommend having a naming convention so

103:03

here you can see any event we set up we

103:06

start out by calling it ga dash event

103:08

dash whatever it is we're trying to set

103:10

up and so in this case we want to set up

103:12

a new tag for the donate now button on

103:16

our website so we're in google tag

103:18

manager because tag manager is what's

103:20

going to fire that event so if i click

103:22

on new okay and i click on tag

103:24

configuration i'm going to choose google

103:27

analytics and then i'm going to choose

103:30

event as my track type so we want the

103:33

data to show up in google analytics and

103:35

we're tracking an event we're not

103:37

tracking a pageview we're tracking an

103:39

event and so

103:41

now remember in step two you identified

103:44

what you want to call that category you

103:46

identify what you want to call that

103:47

action and you have some optional

103:49

parameters like label so first things

103:52

first header donates the name of our

103:55

category and our action is click and if

103:58

you want to add in a label

104:00

and a value so if you want to assign a

104:02

value you can if you want to add in a

104:05

label you can okay those are optional so

104:07

you just need to focus on category and

104:09

action and then the last setting here

104:11

that's probably worth mentioning is a

104:14

non-interaction hit okay so

104:17

this is automatically set to false and

104:20

why is it set to false because it's a

104:22

non-interaction

104:23

no that's false we want this event if

104:26

somebody clicks on the header donate to

104:28

be an interaction so for example if i

104:31

land on this page here and i click on

104:34

that donate now button that i'm tracking

104:36

as an event and i actually leave the

104:39

site because i have my settings set to

104:42

false i want that click to be an

104:45

interaction

104:46

then analytics is not going to count a

104:48

bounce if i change it to true so from

104:52

false to true then that means it is

104:54

going to be a non-interaction

104:57

if somebody lands on the page and if

104:59

somebody clicks on the button so i don't

105:01

want it to be a bounce i want it to be

105:03

an interaction so

105:05

my advice is leave it set to false we're

105:08

going to choose google analytics as our

105:10

setting here this is our variable for

105:12

google analytics so in other words that

105:15

variable is set to our analytics

105:18

property id and more or less that's what

105:21

you need to do to set up the tag okay

105:24

you need to in step two identify the

105:27

category in action and or label and or

105:31

value now value can be anything you want

105:33

you're assigning a numerical value so if

105:36

you just assign one any time that event

105:38

fires in analytics it's gonna have a

105:41

value of one okay and so we have our

105:43

non-interaction set to fall so anytime

105:45

the event fires it's going to count as

105:48

an interaction and therefore not count

105:50

as a bounce if somebody landed on that

105:53

page so that's more or less all you need

105:56

to do

105:57

to set up the tag in google tag manager

106:01

now if somebody else is setting up the

106:03

tag for you then again you want to

106:05

revert to step two you want to be able

106:07

to give that person the appropriate

106:10

category action and or label and or

106:13

value why because you're the one that's

106:16

going to be going into google analytics

106:18

and you're the one that's going to have

106:19

to go to behavior events top events and

106:23

look for the particular act category in

106:27

action and or label so you need to be

106:29

able to communicate that information to

106:32

whomever is setting up the tag now if

106:34

it's you great you already know what it

106:36

is because you're entering that

106:37

information into tag manager so in this

106:41

case i'm going to go ahead and choose a

106:44

variable

106:45

for

106:46

my label parameter and why do i want to

106:49

do that because in tag manager i have

106:52

something at my disposal called

106:54

variables and variables allow you to see

106:58

specifically things that are being

107:00

tracked so in this case i choose page

107:02

path okay so page path is a url and why

107:05

did i choose page path as my variable

107:09

for the parameter label because if

107:11

somebody does click on the header donate

107:14

button and the header donate button on

107:17

our website is on every page if i go to

107:19

the children's page i'm still going to

107:21

see

107:22

that header donate button and so for me

107:25

i want to be able to see what page

107:28

somebody clicked on that hit or donate

107:30

button and so this allows me to actually

107:34

see in google analytics

107:36

what page somebody clicked on the header

107:38

donate now button and so now if i go

107:39

back to

107:41

gtm google tag manager i have a category

107:44

i have an action and i have a label

107:46

which is a variable okay so note that in

107:49

google tag manager you have a lot of

107:51

different variables at your disposal and

107:53

variables are there to help you identify

107:56

specifically

107:57

what is being tracked so take a look at

108:00

all the variables at your disposal in

108:02

tag manager in this example i'm using

108:05

page path so now once you set up your

108:08

tag pretty straightforward again tag

108:10

types google analytics track type is

108:13

event you are assigning the category

108:16

action and or label and or value you're

108:19

changing or leaving the default in place

108:22

for non-interaction hit and then you're

108:24

choosing the variable for google

108:26

analytics which is your property id so

108:29

once you've done that you have a tag the

108:31

second part of setting up a tag is to

108:34

assign a trigger to that tag so tag

108:38

manager needs to be able to know when to

108:40

fire that event and so here i'm going to

108:44

look at a trigger i've already set up

108:47

for this particular event and so if i

108:50

click on it i'll be able to see that

108:53

what it is is a click on some links not

108:56

all links but some links i'm actually

108:59

saying hey

109:01

google tag manager fire this event when

109:04

the click id equals header donate button

109:08

now it just so happens that if somebody

109:11

did click on this donate now button

109:13

they're gonna go to

109:15

another website in this case

109:18

networkforgood.com so in tag manager i

109:22

could have set the trigger to equal

109:25

url equal instead of click id i could

109:29

have said

109:30

url equal

109:32

networkforgood.com so that could have

109:34

been my logic for my trigger in this

109:38

case i decided to go with the click id

109:41

and so in this case that button has an

109:44

id associated with it called header

109:48

donate button so if you wanted to use

109:50

click id for your event for your button

109:53

you could simply just go to the website

109:56

you can right click on that button and

109:59

click inspect element and so when i

110:01

actually inspect the element i can see

110:04

now the button here you can see it's

110:06

highlighted in the upper pane and in the

110:08

lower pane i can see where it's linking

110:11

to it's linking to networkforgood.com

110:14

but here you can see if i hone in a

110:15

little i could see id equals header dash

110:18

donate button so that's the click id

110:22

notice there's also a class i could have

110:24

set the trigger to equal this class or

110:27

again i could have set the trigger to

110:29

equal the url or the page that this

110:33

button is pointing to i could have

110:34

chosen any one of those but i decided to

110:37

go with the id so this is the id i chose

110:40

and that's the id i have in my trigger

110:45

okay so that is what's going to fire

110:48

that event so if somebody clicks on a

110:50

button that equals header dash donate

110:53

dash button it's going to fire that

110:56

event which is going to equal category

110:59

header donate action click and then the

111:02

label is going to be page path so now

111:04

that we've set up our event

111:07

we want to test to see if it actually

111:09

works so there's two ways to go about

111:11

testing an event and the first way is

111:14

through google analytics so if we go to

111:16

google analytics and then we go to real

111:19

time okay we can go to events and here

111:23

you can see one is already fired so

111:25

let's go ahead and go to and test this

111:29

and go to the website so if i go here

111:31

for example and i click on amagar alumni

111:35

okay so if i click on that you can see

111:37

i'm under our family and if i click on

111:40

that button and go back to analytics and

111:44

look at real time i should be able to

111:46

see this event fire so if i click on it

111:49

i'm going to go to network for good now

111:51

if i go back to

111:53

analytics here in real time under real

111:56

time under events per second i can see

111:59

that event firing category equals header

112:02

donate the action equals click now if i

112:05

click on

112:06

the category here i can see the label

112:10

the label remember was page path and

112:12

here you can see

112:13

this event fired on the our family page

112:16

which was the page i was just on so

112:19

that's one way to test to see if your

112:22

event works and in this case analytics

112:24

recognize the event so it works it fired

112:29

and so therefore it's going to show up

112:31

under behavior under events you can go

112:34

under overview or top events okay and

112:37

what am i going to look for in this case

112:39

i'm going to look for header donate okay

112:41

if i click on header donate as my

112:44

category i'm going to be able to see my

112:46

action and if i click on action i'll be

112:48

able to see my label in this case home

112:51

page and then later on when the data

112:53

propagates in analytics i'll be able to

112:55

see under label

112:57

the page that i clicked on that hit or

112:59

donate button which is slash our family

113:02

okay the second way in which you can

113:04

test to see

113:06

if an event fires is if you preview so

113:10

if i click on preview and tag manager

113:12

okay i'm going to go into preview mode

113:15

okay and preview mode allows you to see

113:17

in analytics and tag manager and on the

113:21

website what tags are firing so here i

113:24

could see i'm in preview mode now so i'm

113:27

going to go to the website

113:29

and i'm going to refresh

113:31

and in my browser

113:34

same browser i'm using for tag manager i

113:37

can see the tags that are being fired on

113:40

this page already okay because i'm in

113:42

preview mode so here i could see

113:45

remarketing i could see page views i

113:47

could see google optimize i could see

113:49

some tags that are already firing on

113:51

this page now if i click on this button

113:54

here by holding down my shift command

113:56

and then click on that button i'll be

113:59

able to see that

114:00

the tag fired in preview mode there's my

114:03

event header donate and i can see it

114:06

fired so now i can see it fired in the

114:09

preview mode so in addition to google

114:12

analytics in preview mode i could see

114:14

that that tag is fired and i know that

114:17

it's working so there you have you have

114:19

two ways to test to see if the event

114:22

fires again you have real time and

114:24

analytics okay so in real time if you

114:27

just go up to real time all you need to

114:29

do is go down to events go to your

114:32

website click on the button if you see

114:34

it firing in real time then you know it

114:37

works the second version or second way

114:40

to test your event is through the

114:41

preview mode okay if you see it firing

114:44

in preview mode then you know it's also

114:47

working okay so let's rehash our steps

114:50

first step is we want to be able to

114:53

identify what we want to track okay so

114:56

it could be this newsletter sign up it

114:58

could be click on a facebook it could be

115:00

anything we want to be able to track an

115:02

image a click on a cta button whatever

115:06

we want to track identify it second step

115:09

identify the category action and label

115:13

because that's what's going to show up

115:14

in google analytics remember label is

115:18

optional variable or excuse me value is

115:20

optional third step go into tag manager

115:23

actually set up your tag and your

115:26

trigger so

115:27

if you set up a tag and it's an event

115:31

name it ga event it's that way you can

115:34

see in your list of tags in tag manager

115:37

what event tracking you have already set

115:39

up so when you set up your tag you set

115:41

up your trigger your trigger is based on

115:44

logic that can be a url it can be a

115:46

click id it can be a class id whatever

115:50

you want to use to fire that event and

115:53

then once you do that you want to test

115:55

it you could test it in gtm or you could

115:58

test it in google analytics if it

116:00

doesn't fire you want to tweak your

116:02

trigger if it does fire then great and

116:06

then one thing i would recommend is if

116:08

you're setting up various events for

116:11

your website as a best practice what i

116:14

would recommend is set up a spreadsheet

116:16

and in that spreadsheet you know you

116:18

want to put a note what's firing what

116:20

are you doing to fire it could be in

116:23

this case and when somebody clicks on

116:24

the donate now button in the header you

116:27

want to put the tag name in here the

116:29

type okay then you want to record your

116:31

category action and label and then the

116:34

great thing about events is you could

116:37

turn those events into goals and that's

116:40

as simple as going back into analytics

116:43

okay so if i go in analytics and i go to

116:46

admin and i go to goals if you set up a

116:48

new goal okay all you need to do is

116:51

choose custom click continue you're

116:54

going to choose event as your goal name

116:57

and then from a naming perspective in

117:00

google analytics for your goal i would

117:02

definitely put event first and then

117:05

click on header donate okay so if i

117:07

click now continue what is my category

117:11

it's equal to header donate my action is

117:14

click and so i can verify

117:16

to see if this is working and here i can

117:19

see in analytics that the goal would

117:22

have a 0.22 conversion rate so that

117:25

tells me that the goal is working and i

117:28

can turn this event into a goal and when

117:30

you turn something into a goal and

117:32

analytics then you can measure it across

117:35

all dimensions that's what i would

117:37

recommend if the event is equal to

117:41

a kpi or business goal or it's of

117:44

importance it's something you really

117:46

want to measure okay if it's just a

117:48

click say on a facebook button i

117:50

wouldn't recommend setting that up as a

117:52

goal okay so once you've set up your

117:54

event you've recorded it in your

117:55

spreadsheet it's firing you want to be

117:58

able to then go back into behavior back

118:02

into events okay you can go to top

118:04

events okay so top events tell you by

118:08

category as a default what events are

118:11

firing or what category is firing the

118:13

most okay so if i choose my date range

118:16

here i can just go to year to date so

118:19

here i can see my header donate button

118:22

fortunately for me has the most total

118:24

events now notice in analytics you also

118:28

see unique events and so the difference

118:30

between unique events and total events

118:33

is that unique events are equivalent to

118:36

one per session where total events means

118:39

that

118:40

somebody can come to your website

118:42

initiate a session and click on that

118:45

button multiple times in the same

118:47

session so if i go to the yama

118:50

foundation website okay i can click on

118:52

that donate now button three or four or

118:54

five different times in the same session

118:57

so what analytics is going to do is

118:59

actually in that session count it once

119:02

but accumulate the number of clicks as a

119:05

total event for that session so you're

119:07

always going to have more total events

119:09

than unique events because

119:12

in some cases users may click on the

119:14

button more than once in the same

119:16

session and so

119:18

here i can see total events unique

119:20

events and if i added a value to that

119:24

event i should be able to see it here so

119:26

if i added a dollar as an example to

119:29

this particular event because it had 164

119:33

unique events i should be able to see

119:35

164 as my value but since i see zero

119:39

that means that i did not assign value

119:41

and so average value basically is just

119:44

giving me how much average i have per

119:48

event so it's taking into account the

119:51

number of or the value the total value

119:54

divided by the total number of unique

119:57

pageviews or sessions and so because i

120:01

don't have value i'm not going to have

120:02

average value but here you can see

120:05

because value is optional here i can at

120:07

least see how many events or how many

120:10

clicks i receive for a particular button

120:13

again it could be a video if i clicked

120:15

on this video as an example i can see

120:19

how many people actually started it i

120:21

could see the unique and the total

120:23

events and if i click on label if i have

120:25

a label assigned then i'll be able to

120:27

see what page triggered that event so if

120:31

we go back again to our header donate

120:34

button back to category if we click on

120:36

label as our primary dimension here we

120:40

can see the home page had the most

120:42

unique events been followed by the

120:44

children's page the contact form etc so

120:47

what you can do in analytics you can

120:48

also look at the pages that have driven

120:51

events so here i could see the home page

120:53

has accumulated the most total events

120:56

followed by the contact us so that's how

120:59

you would look at the data in google

121:02

analytics under behavior under events

121:06

and then under top events or overview is

121:08

where you can start analyzing your event

121:11

tracking so first you need to do

121:14

identify it assign a category action

121:16

enter label set up that tag and trigger

121:20

once you do that once you test that it's

121:22

working this is where you're gonna go to

121:24

analyze the data data studio

121:27

so buckle up and let's get going with

121:31

some

121:32

data studio from google and so the first

121:35

thing you'll need is a google account

121:38

okay so if you have a google account if

121:40

you're able to get into analytics or

121:42

google ads then you should be able to

121:45

use that same email address to get into

121:48

data studio and all you really have to

121:50

do is just go to datastudio.google.com

121:53

or you could just google data studio and

121:56

get the link but if you're using your

121:58

same email address you should be able to

122:00

get into data studio and when you're in

122:02

data studio you'll be able to see

122:05

some templates at the top that you can

122:07

work with when you're setting up a

122:09

report or you'll be able to see some

122:11

existing reports that

122:14

you have either set up or somebody has

122:16

shared with you okay so

122:19

here if you just click on shared with me

122:21

i'll be able to see all the different

122:24

reports that have been shared with me in

122:26

the past okay so here if i click on

122:29

recent i can see all the reports that

122:31

i've recently opened so let's just take

122:34

a sneak peek at one of those reports so

122:37

if i open up a report that i actually

122:40

created then what i'm going to be able

122:42

to do is look at some data over a period

122:45

of time just like i would if i was in

122:48

google analytics okay so the great thing

122:50

about data studio here is that it works

122:54

just like any google drive document

122:57

whether it be a google sheet a google

122:58

doc or a google slide okay you could

123:02

share the document with anybody you

123:05

choose to anybody with a google account

123:07

okay or if you just want to share a link

123:10

okay you could just click on can view or

123:12

edit copy the link and then you can

123:14

message that person or email that link

123:17

to whomever you want to see this report

123:20

okay if you want to invite somebody to

123:22

edit it or just view it you can

123:24

certainly just type in their name or

123:26

email address so that's the great thing

123:29

right off the bat with data studio is

123:31

it's shareable so if multiple people

123:34

have added access to the same report

123:36

then multiple people can go ahead and

123:39

edit that report even at the same time

123:42

so that's the great thing about data

123:44

studio we're going to cover a lot of

123:46

different benefits to data studio i

123:48

definitely like using data studio over

123:51

analytics and since we're talking about

123:54

the comparing the two this in my opinion

123:56

replaces if i go to analytics and i go

124:00

to say customization and i go to

124:02

dashboards this replaces the old

124:04

dashboard reports and if you see here at

124:07

the top google's even persuading you to

124:10

move over to data studio because

124:13

dashboards and custom reports are very

124:16

limited in nature whereas data studio

124:19

not limited at all okay you basically

124:21

are creating reports that suits your

124:24

needs so just continuing on with some of

124:27

the top level

124:28

okay benefits to data studio is if we

124:32

like a report we see we can easily just

124:34

make a copy of it so all i have to do is

124:36

click on that copy and i'm just going to

124:38

copy over everything over so i'm going

124:40

to copy the data sources or i can change

124:43

the data source and basically what we

124:45

mean by data source is where is google

124:48

pulling the data from now keep in mind

124:51

and i'll go over this more specifically

124:53

with data studio you can pull pretty

124:55

much data sources from anywhere in any

124:58

source whether that be a spreadsheet a

125:00

database another google product another

125:04

platform like facebook you could

125:06

certainly pull it from analytics so you

125:08

could pull data from any data source so

125:10

if you go ahead and make a copy you just

125:12

have to make sure you know what data

125:15

source you're pulling the data from

125:17

because basically all this is is a

125:19

report with dimensions and metrics and

125:21

those metrics are data points associated

125:24

with that dimension so we can certainly

125:26

refresh data okay again we can get the

125:29

report link just by clicking on the

125:31

report link and copying it it's a bit of

125:33

a shortener here i can go ahead and

125:35

schedule an email delivery so if i want

125:38

to go ahead and have this report sent to

125:41

somebody i can certainly do that here

125:43

and i can have it sent to them either

125:46

daily weekly or monthly and then you can

125:49

also download the reports if you

125:51

download the report okay i can choose

125:53

all pages or select specific pages so in

125:56

this report i have two pages set up now

125:59

in data studio you can have as many

126:01

pages as you want okay so here i can

126:04

choose just one page okay some

126:06

additional options um i can add a link

126:09

back to the report i can password

126:11

protect the report okay i can ignore the

126:13

custom background color if i wanted to

126:15

i'm just going to go ahead and download

126:17

that and i'm going to download it in pdf

126:19

and so when it downloads i'm going to be

126:22

able to then you know view this report

126:24

or send it off in pdf format and so

126:28

those are some of just the top level

126:29

features that you have available to you

126:33

in data studio now let's take a step

126:36

back okay this is if you're just viewing

126:38

the report and you want to share it or

126:40

download it or send a link to somebody

126:43

what if you actually want to create one

126:45

so that's what i'm going to walk through

126:46

here i'm going to go ahead and create

126:48

one now remember we can just go ahead

126:50

and copy this if we like it we can copy

126:52

it we could choose certainly choose

126:54

different sources of data so i'm going

126:57

to go ahead and just play around and

126:59

choose different sources of data i don't

127:00

know exactly what those sources are but

127:03

i'm going to go ahead and choose them

127:04

anyway then i'm going to go and copy

127:06

that report so i copied it and basically

127:09

what it's going to give me is a

127:10

duplicate of that report except the data

127:13

is going to be different because i'm

127:15

choosing different data sources okay so

127:18

now here we can see the report and it's

127:21

going to load up and it's going to load

127:23

up with different data sources now if i

127:26

don't see any data that means the data

127:28

sources i chose don't have any data that

127:31

align with those specific metrics and

127:34

dimensions and that's exactly what i see

127:36

here so what i'm going to have to do is

127:39

go ahead

127:40

and choose different data source so let

127:42

me select a different data source here

127:45

i'm going to go ahead and choose that

127:46

one

127:47

or i can go ahead and create a new data

127:50

source so let me just do that so i'm

127:52

going to click create new data source

127:54

and now

127:56

if i don't want to use one that i've

127:58

used in the past i can go ahead and

128:00

choose from all these different data

128:02

sources available to me so there's no

128:05

limit on what we can connect so you see

128:08

bigquery

128:09

sql okay you can see data from google's

128:13

marketing platform display video 360.

128:16

google analytics google sheets google

128:19

search console okay keep scrolling down

128:22

basically what data studio does is

128:24

partner with third-party products like

128:27

super metrics for example so that super

128:30

metrics is the intermediary

128:33

program that pulls in for example

128:36

facebook ads or google my business pulls

128:38

it into data studio for you here you can

128:41

see adobe analytics okay you have all

128:44

sorts of connectors that you can connect

128:47

to so i could choose any one of these to

128:49

connect it now if i choose one with say

128:52

super metrics i'm going to need that

128:54

super matrix account now if you choose

128:57

any one of these direct google

128:58

connectors like i'm going to choose

129:00

google analytics then you don't need a

129:03

third-party intermediary like super

129:05

metrics you can go ahead and based on

129:08

the login that you have set up or that

129:10

you're using to log into data studio

129:12

you're going to be able to see all the

129:13

other google analytics accounts you have

129:15

access to so i'm just going to go ahead

129:18

and choose an account here i'm going to

129:21

choose a property

129:22

and i'm going to choose my view then i'm

129:26

going to click connect okay so that's

129:28

how you basically will connect a new

129:31

data source now when you actually

129:32

connect that data source what's going to

129:35

happen is

129:36

data studio is going to give you the

129:38

option and it's going to give you an

129:40

option to make changes to all the

129:42

dimensions available dimensions are in

129:44

green and if i keep scrolling down i can

129:47

have the opportunity to

129:50

change any of the metrics metrics in

129:52

blue and i can change it to

129:55

the type of metric i'm getting whether

129:57

it be just a numeric or

129:59

a percent okay or i can change it to

130:02

aggregate auto i can change it the

130:06

description of it okay that's making

130:08

changes to something i can even just

130:09

delete it or remove it or i can go ahead

130:12

and add my own

130:14

metric or dimension okay just by

130:16

clicking on add in a field and so here

130:19

i'm going to go ahead and choose some

130:20

available fields or put in my own

130:22

formula so this is kind of that first

130:25

step when you create your

130:27

source or your second step if you will

130:29

your first is actually choosing the

130:31

source in this case we chose google

130:33

analytics the second step is

130:36

having the opportunity to change out or

130:38

edit or add dimensions and metrics now

130:41

if you're a novice or beginner to data

130:43

studio then i would say let's skip this

130:46

step uh if you're not comfortable

130:48

editing or adding dimensions and metrics

130:50

and go ahead and just skip it and click

130:52

on this blue

130:53

call to action add to report okay so i'm

130:56

going to add it to the report and now

130:58

that it's been added now i'm still

131:00

seeing no data why am i seeing donated

131:03

so if you copy report you don't see any

131:05

data chances are it probably has a

131:07

filter because i copied it and here you

131:09

can see i have a filter so i'm just

131:11

going to go ahead and remove the filter

131:13

and voila i see data so that's something

131:17

you need to be aware of when you

131:19

actually copy over an existing report

131:23

you have to choose the

131:25

data source but keep in mind when you

131:27

copy over an existing report you're also

131:29

copying over filters and segments so if

131:32

you're familiar with google analytics

131:34

you know that in google analytics if i

131:36

go back into analytics here and let's

131:39

just say i go to

131:42

acquisition

131:43

and i go to

131:45

uh all traffic and i go to channels what

131:48

do i have the opportunity to do in these

131:51

standard reports well i have an

131:52

opportunity to add a segment i also have

131:55

an opportunity to add a table filter

131:59

you could do the same thing in data

132:02

studio okay because i copied the report

132:05

basically i copied over all of those

132:08

filters table filters and segments that

132:10

go along with it and so you just need to

132:12

be cognos of that as you're building out

132:14

this report now that's if i copied it so

132:18

you can see i copied it and everything

132:20

else that goes along with it the the

132:22

color scheme the

132:24

the logo etc now this is if you not

132:28

familiar with data studio it's good to

132:30

copy report play around with it etc

132:33

that's probably what i would recommend

132:34

so again if you're not familiar with

132:36

daystar you want to get comfortable then

132:37

go ahead and even choose one of the

132:39

templates if you don't have access to an

132:41

existing report so let's go ahead and

132:44

just choose i'm going to say one of

132:46

these templates that data studio has

132:48

provided okay you can see looks pretty

132:51

good layout looks pretty clean i got all

132:54

my important metrics in here what's

132:56

going to happen is if i want to use it

132:59

i'm going to click use template now same

133:01

thing

133:02

that occurred when i copied a previous

133:04

report i'm going to have to choose a

133:07

data source so i don't want to choose

133:09

google analytics

133:11

sampling of data or sample set of data i

133:14

want to choose some actual data so i'm

133:17

going to have to go in and choose an

133:19

existing i can choose an existing data

133:23

source here or i can connect to a new

133:26

data source okay so let's go ahead and

133:29

just choose one of these data sources i

133:31

already have access to and i'm going to

133:33

go ahead and copy this template so it

133:36

works in the the same way as if i copied

133:39

an existing report i'm just copying a

133:41

template okay so here you can see i'm

133:43

copying the template now okay the only

133:46

thing that's missing here is the ability

133:48

for me to edit the dimensions of metrics

133:51

so if you any time you add a new data

133:54

source you're always going to be

133:55

prompted to

133:57

have the ability to edit dimensions and

133:59

metrics if you don't if you're not

134:01

comfortable with that then just go ahead

134:02

and add the data source just like i've

134:05

done here and so now i could see

134:08

basically the same report i could just

134:10

see it's just pulling in data from a

134:12

different data source that's all now i'm

134:15

in edit mode okay so if i want to view

134:18

the report just as anybody else would

134:20

view it if you gave them a link to view

134:22

it i'm going to click on this view

134:24

button here and so now i can see i have

134:25

some drop downs here and so this drop

134:28

down is basically allowing me to choose

134:31

my own analytics account if i wanted to

134:34

so i can go ahead and just choose any

134:36

one of these if i want to change the

134:38

data here i get another pull down and

134:41

this is my date range selector so i can

134:44

change the date range if i want to do so

134:46

if i change the date range then the date

134:48

is going to change now if i want to edit

134:51

anything here in this report i'm going

134:54

to have to go back and click on the edit

134:56

mode so just click on the edit button

134:58

there and now i'm going to be able to go

135:01

in and edit this existing template now

135:03

i've already established a data source

135:05

but i could change the data source if i

135:07

want to all i have to do is just go here

135:10

click on any one of these tables or

135:13

metrics

135:14

and change out the data source just by

135:17

clicking on this icon here okay where it

135:20

says edit data source so i'm going to

135:23

have the ability to

135:24

make changes

135:26

to any of the dimensions and metrics or

135:29

i can just get rid of that data source

135:31

and choose a new data source now in data

135:34

studio you have the option to change the

135:37

layout you have the option to change the

135:39

theme so you can go from a simple theme

135:41

to say a simply dark theme you could

135:44

change any aspect of the report if you

135:48

want to so just know that anytime you

135:52

click on any of the data points you have

135:54

the same options available you have a

135:55

chance to edit the data or you have a

135:58

chance to style it so when we talk about

136:00

styling you know you can basically

136:03

add labels you can hide labels you can

136:07

compact the numbers you can style it any

136:09

way you want based on the particular

136:12

table and so that's the great thing

136:13

about data studio is really really

136:16

customized to what you need so for

136:18

example here what are the top countries

136:21

by sessions well

136:23

i don't have to show legend if i don't

136:25

want so i'm just going to get rid of the

136:26

legend i can change the font okay i can

136:29

change the color scheme on it i can go

136:32

ahead and do a lot of different things

136:34

here so once i've made changes after i

136:36

view it i'll be able to see those

136:38

changes in full effect okay so just know

136:40

that in data studio whatever report

136:43

you're looking at that you have edit

136:45

access to you have the ability to make

136:48

changes to anything in that report now

136:51

here you can see

136:52

i see a lot of different data great what

136:55

i can actually do too is add a page and

136:58

so let's go ahead and click on add a

137:00

page and now we have two pages to our

137:03

report and now i have a blank canvas on

137:06

page two so now what do i want to put on

137:09

page two well the best practice to me is

137:13

organizing your data okay so just like

137:16

in analytics analytics organizes their

137:18

data between audience acquisition

137:20

behavior and conversions as a best

137:23

practice that's probably what i would do

137:25

here maybe stick all your mobile on one

137:27

page or your acquisition on one page all

137:30

your maybe your organic search on one

137:32

page now it's okay to have a summary

137:34

page just like we have on page one but

137:36

if you're going to have multiple pages

137:39

then perhaps think about organizing it

137:42

based on the multiple pages that you add

137:45

so here let's go to page two blank

137:47

canvas so the great thing about data

137:49

studio again it's just very easy to

137:52

start populating okay so i'm gonna go

137:54

ahead and click add a chart okay which

137:56

type of chart do i want to add well in

137:59

the spirit of visualization you probably

138:02

always want to choose something visual

138:04

start with an easy pie chart here i'm

138:06

going to go ahead and select pie chart

138:08

and i'm going to place it to where i

138:10

want okay now i can go ahead and

138:13

increase the size if i want to make it

138:16

smaller make it bigger etc voila i have

138:19

a pie chart now if i want to edit this

138:21

pie chart again i have my options

138:24

available i have my data and i have my

138:26

style so i know it's pulling from this

138:28

data source here okay i want to change

138:31

my dimension dimension is what we're

138:33

measuring so let's just maybe change it

138:35

to source

138:36

and maybe i want to go from page views

138:39

to let's just say

138:41

goal conversions so i can just go in and

138:43

start typing in the metric and

138:46

here i can see gold conversion rate

138:48

let's choose that okay now i can see

138:51

source by go conversion rate now if i

138:54

don't want source let's change that back

138:56

to default channel grouping so now my

138:59

dimension is default channel grouping by

139:02

goal conversion rate so now if i'm

139:04

looking at my data i could see that

139:06

referral has a 51.8 percent goal

139:09

conversion rate followed up by organic

139:11

search with 19.5 okay so again it's very

139:15

easy

139:16

to

139:17

edit the data points on any chart now if

139:20

i want to style it i'm just going to

139:22

click on style here i can go with a

139:24

single color

139:25

dimension values okay i can slice it up

139:29

in different colors i can choose a

139:31

background color i can add a border

139:33

customization is really endless here i

139:35

can change it from 10 to say 12 slices

139:38

if it's available maybe go down to

139:41

the top three it's as easy as it gets i

139:44

mean it really is fairly intuitive to

139:47

use you just got to learn what

139:49

dimensions and metrics you want to use

139:51

now i have my pie chart the great thing

139:54

about data studio just like powerpoint

139:57

for example i can go ahead and just copy

139:58

this pie chart command c then command v

140:02

and voila i now have a copy of it okay

140:04

well uh maybe i don't want two pie

140:07

charts so let me go ahead and change one

140:08

so i can go ahead my upper right here

140:11

and go from say a pie chart to let's

140:14

just say a trend line if it makes sense

140:16

or maybe

140:18

a combo chart so i have my sessions

140:21

along my goal conversion rate now i can

140:23

again go ahead and change that i don't

140:25

want sessions maybe i want you know go

140:28

completions or something so let's go

140:30

ahead and add that in there goal

140:32

completions so now i can see goal

140:34

completions and then go conversion rate

140:37

by my default channel grouping so again

140:40

i could style it you know if i don't

140:42

want red bars i can go ahead and choose

140:44

a different bar okay it's really that

140:46

simple now if you find you're running

140:48

out of real estate okay you can always

140:50

scroll down and change the height so if

140:54

i change it from 1200 to fall to 1800

140:57

pixels i can get more real estate to

140:59

work with likewise on the width so now i

141:02

can make it really wide to work with now

141:04

when you make those changes to the page

141:06

you're probably going to see the same

141:07

effect happen on page one in fact you

141:10

will so back to page two okay so if we

141:12

go to page two here what we could do is

141:15

go ahead and add more charts or we can

141:17

copy and paste existing charts and go

141:20

ahead and change them up okay just by

141:22

command c and command v now what you

141:25

want to do if you create more pages here

141:28

is maybe add in your date range so if i

141:31

go click on my date range symbol here

141:34

i'm just going to drag and drop that

141:35

enlarge it a bit now i can make a

141:37

default date range i can say i want to

141:40

show data for this month so anytime

141:43

somebody goes to the page the data that

141:45

shows is going to be for the month the

141:48

month to date now again if you want to

141:50

customize it what you can do

141:52

is you can just copy and paste so ctrl c

141:56

or command c

141:57

go back to page two command v so this

142:00

gives you the ability to just start

142:02

customizing now the one drawback to

142:05

data studio being a little bit nitpicky

142:08

is in powerpoint if you're copying from

142:11

slide to slide it tends to paste it in

142:14

the same exact location i know it sounds

142:16

a little bit nitpicky but in data studio

142:18

when you copy and paste something it

142:21

doesn't necessarily

142:22

always paste in the exact location so

142:25

i've noticed that uh being the issue but

142:27

it's a small issue nonetheless so you

142:30

have the ability to copy an existing

142:32

report you have the ability to go ahead

142:35

and

142:36

choose an existing template and like i

142:38

said going back to data studio you have

142:41

the ability to just start with a blank

142:43

canvas so again just walking you through

142:45

the steps here blank report brand new

142:48

canvas i need to choose a data source so

142:51

you can see existing data sources if you

142:54

don't have existing data sources to

142:56

choose from you can always just click

142:58

create new data source okay when you

143:00

create new data source you're going to

143:02

choose from a list if you're new to data

143:04

studio start with something easy like

143:06

google analytics if you choose google

143:08

sheets then great you're going to be

143:10

asked to look for data in google sheets

143:13

likewise with google ads if you choose

143:15

google ads you're going to have to

143:16

choose a google ads account so start

143:18

easy start with google analytics okay

143:21

i'm gonna choose analytics i'm gonna

143:23

choose my account my property i'm gonna

143:25

choose my view i'm gonna go ahead and

143:28

connect because this is a new data

143:30

source i have the ability to go ahead

143:33

and edit my existing dimensions and

143:36

metrics if i want i don't have to then

143:39

i'm going to go ahead and click add to

143:40

report it's going to confirm the

143:42

connection to the data source now i have

143:44

my connection to my data source i am

143:47

free to start doing what i need to do to

143:50

the report whether that be get somebody

143:52

else involved immediately by sharing it

143:54

with them go ahead and start adding

143:56

pages and organizing it you know adding

143:59

my date range adding a logo adding a

144:01

logo simply just clicking on image

144:04

selecting my file or my images it's a

144:06

best practice anytime you

144:09

create a table i would go ahead and put

144:13

a text box above it maybe put a title so

144:16

you could say

144:17

channel in this case channel by

144:19

conversion rate okay so let's make that

144:21

a little bit bigger as a best practice

144:23

that's what i would do now it's you're

144:25

free to do whatever you in data studio

144:27

the whole point of data studio is really

144:30

to customize the report any way you want

144:34

and what i mean by customize is adding

144:36

the dimensions and metrics that are

144:38

important to you and so data studio

144:41

gives you the opportunity to copy an

144:43

existing report or again you can use

144:46

existing template or start with a blank

144:48

report the options are all there for you

144:51

data studio is fairly easy to use again

144:53

you could share it okay you can download

144:56

it you can schedule emails you can send

144:59

a link to people okay there's really no

145:02

limit to what you can do with data

145:04

studio okay again you can rearrange

145:06

things add pages organize them add

145:09

filters add segments i mean basically

145:11

anything you can do in analytics you can

145:13

do in data studio a lot more features my

145:17

recommendation to get started you know

145:19

go ahead and choose that blank canvas

145:21

and just start playing just start

145:23

playing by adding charts okay once you

145:25

add charts okay the data is going to

145:27

populate and again you're just then free

145:31

to start playing around with dimensions

145:33

and metrics so that's the way to get

145:35

started with data studio practice makes

145:37

perfect

145:38

once you get more comfortable then

145:40

you're gonna have full-fledged reports

145:42

to work from just like i use for my

145:45

clients there's no limit on what you can

145:48

do and what you can see and again

145:51

customization makes the report look good

145:53

obviously the data and improved data is

145:56

going to make your report look good as

145:58

well so keep all those things in mind

146:00

apply some of the best practices but

146:02

more importantly play around get

146:04

comfortable and then eventually you're

146:06

going to start using data studio as your

146:08

main source of data over google

146:11

analytics welcome to foundations of

146:14

digital analytics my name is stefan

146:16

amell i'm a consultant i'm a teacher i'm

146:20

a speaker and i've been in the field for

146:22

several years so in this training which

146:25

is part of digital marketing

146:27

uh we're gonna we're gonna look at what

146:30

are the essential

146:32

components and the essential knowledge

146:34

that you should learn about being a good

146:37

digital analyst so we're not going to

146:40

deep dive into how to use the tools but

146:42

we're going to learn a lot about what

146:45

are the concepts what are the essential

146:47

elements of being a good digital analyst

146:50

so

146:51

stay along with me and we're going to go

146:53

through various sessions addressing each

146:55

of the topics that are important in the

146:57

field

147:03

welcome to introduction to digital

147:06

analytics so we're going to start with

147:08

basic concepts

147:10

supporting the the role of the digital

147:13

analyst

147:14

so imagine in the offline world imagine

147:16

you have a store where you are able to

147:19

look at people you know walking on the

147:21

street looking at the window of your uh

147:24

shop and

147:26

looking at you know what are the

147:27

characteristics of those people why are

147:30

some people coming in the store and some

147:32

people not coming in why are

147:34

how people interact in the store what

147:36

they are looking at how they walk in the

147:39

always uh in the uh looking at different

147:42

products

147:44

maybe picking something looking at it

147:46

and putting it back on the shelf

147:48

even putting stuff in their cart and

147:50

eventually abandoning the cart and not

147:53

purchasing anything

147:54

so in the offline world doing something

147:57

like this would be you know fairly

147:59

difficult and expensive and would be

148:01

time consuming

148:02

in the online world we have the

148:04

we're lucky because we have a constant

148:07

environment where we can watch learn and

148:10

adjust and improve our business to

148:13

better answer the needs of our customers

148:15

so this in a way is the essence of what

148:19

is digital analytics is to understand

148:21

where people are coming from what are

148:24

their characteristics what are they

148:25

doing on our website

148:27

and whether it works for them and it

148:30

works for us because we want to have a

148:32

successful business

148:34

so in the past just as a side note in

148:36

the past we were talking about web

148:39

analytics because it was very very

148:42

focused on websites and it was heavily

148:45

geared toward marketing

148:48

and now we're talking about digital

148:49

analytics so we've broadened the scope

148:52

and when we talk about digital analytics

148:54

we talk about websites of course but we

148:57

also talk about mobile application we

148:59

talk about the internet of things where

149:02

we can measure any type of device and

149:05

collect data about whether it's working

149:08

or it's not working

149:09

and we've broadened the scope from a

149:11

business perspective because we're

149:13

thinking about marketing but we're also

149:15

expanding to every business function

149:19

we're looking at sales we're looking at

149:21

customer support

149:22

we're even looking at hr because most

149:25

websites have a way of contacting to

149:27

apply for a job for example so we've

149:30

broadened the scope from web analytics

149:32

to digital analytics

149:34

so what do we want to learn

149:36

we want to have some some very uh

149:40

important understanding of what it is to

149:43

be an analyst what it is to do digital

149:46

analytics

149:48

we want to understand what is the

149:50

context of the business and how being

149:52

creative is also an important part of

149:55

the analyst role

149:56

we want to

149:58

understand how we evolved from looking

150:02

at simple reports

150:05

up to today where the landscape is is

150:09

very complex

150:10

very rich

150:12

and there's virtually no limit to to

150:14

what we can do

150:15

so why digital analytics so i just alert

150:19

to

150:20

the physical store

150:22

but

150:23

one of the element is the the ex

150:28

despite all of the experience that you

150:30

might have

150:31

it is very uh useful

150:33

it is valuable

150:35

but it doesn't scale so your experience

150:38

is is your own career path and you can't

150:42

easily tell other people you know here's

150:44

everything i've learned so through

150:46

digital analytics we can more easily

150:50

expand the capabilities of understanding

150:53

how things are working

150:55

um

150:56

assumptions

150:58

you you have you can make an assumption

151:00

and it might be very very valuable it

151:02

might be very plausible that yes i think

151:06

doing this on the website would be

151:07

better for our customers and and better

151:09

for our business

151:11

but until you you actually test it until

151:14

you actually make the change

151:16

there's no way to be

151:18

sure that's

151:20

effectively better than the other

151:22

alternative

151:23

so assumptions are good but we want to

151:26

go in

151:28

at a pace where things are moving so

151:31

quickly that we have to adapt and we

151:33

have to evolve very quickly and last is

151:35

faith

151:36

fate is yeah we can believe that

151:39

something is so good we can believe that

151:41

the latest technology and latest trend

151:43

is so awesome

151:44

but at the same time

151:46

we have our own bias we are biased in so

151:49

many ways because of our experience

151:51

because of our culture because of uh the

151:53

the previous jobs that we had in the

151:55

past and so many reasons so

151:58

through digital analytics we

152:00

remove in a way this bias that we have

152:04

so those are you know three

152:06

aspects of why you should go for digital

152:10

analytics experience that doesn't scale

152:13

assumptions that can't be proven until

152:16

you actually do it and and faith and

152:18

bias that we have that we want to get

152:22

put that aside and go with something

152:24

that really works

152:26

so continuing on why

152:28

do we want to do digital analytics

152:31

in in today's environment we have a

152:34

tremendous amount of data

152:37

data is coming from everywhere it's

152:38

coming from your website it's coming

152:40

from your mobile application it's coming

152:42

from from your own business systems like

152:44

customer relationship management crm

152:47

systems it's coming from sales it's

152:49

coming from competitors it's coming from

152:52

all over the place so the problem is not

152:55

having a large amount of data because we

152:58

usually have more than we need

153:00

but we want to

153:02

extract information out of it

153:04

information is being able to understand

153:07

the meaning of the data but once we have

153:09

information what do we do with it

153:12

we want to transform it into knowledge

153:14

knowledge is understand the context of

153:17

the data and the context of the

153:18

information we have so we know that for

153:21

example if we if i have a piece of data

153:24

that says

153:26

99.9

153:28

okay that's a piece of data that i have

153:31

but

153:32

what does it mean information might be

153:35

that 99.9

153:37

is the percentage of successful

153:39

transactions so there's a little number

153:41

of transaction that actually doesn't go

153:43

through

153:44

through my systems and there are errors

153:47

and stuff knowledge might be that

153:49

understanding that because i'm in a

153:52

banking environment

153:54

99.9 is actually below

153:57

the threshold of acceptable transactions

153:59

that i should process at every time so

154:01

in most uh environment you will see

154:04

targets of being able to train to

154:07

process every transaction transaction

154:09

with a very very little amount of error

154:11

so 99 point maybe 99.95

154:14

so i'm just a little bit below my

154:16

threshold

154:18

this is knowledge

154:20

i know because of the environment that

154:22

i'm in i know because of the target that

154:24

i have that i need to do something and

154:27

wisdom

154:28

is actually being able to act on that

154:31

information

154:32

now that i know

154:34

what can i do with it i need to

154:36

investigate i need to find where the

154:38

problem is i need to be creative and

154:41

find

154:42

different alternatives to try to go from

154:45

99.9 success to my target of 99.95

154:52

percent of success okay so going from

154:54

data

154:55

up to

154:56

acting on the data

154:59

this is

155:00

critical in the role the analyst is

155:02

going to play

155:04

so it's if you don't want it we

155:06

sometimes we hear the term reporting

155:08

monkey reporting monkey is is pretty

155:11

negative you know it basically means

155:12

that yes you are able to extract the

155:15

data you might be able to turn it into

155:17

information in the form of reports but

155:20

you don't bring the knowledge

155:22

so you don't want to be reporting monkey

155:24

right

155:26

so you know being a teacher and being in

155:28

the field for so many years uh i looked

155:31

at how people define what is analytics

155:35

and you know

155:36

simply put analytics is the science of

155:40

analysis

155:41

okay what is analysis

155:44

analysis is it really relates to a

155:47

science it's how we break something

155:50

complex

155:51

into small parts

155:54

little chunks so that we can understand

155:56

how they work individually and if we

155:59

understand how they work individually we

156:01

can measure them and we can

156:04

optimize them

156:05

so this is really what is analysis

156:08

breaking something complex into smaller

156:10

parts so that we can understand it and

156:13

therefore we can optimize

156:16

so

156:17

again what is analytics the science of

156:20

analysis

156:21

that's a very simple definition right

156:24

but after asking you know fellow

156:27

colleagues and other consultants and

156:30

practitioners and a lot of people

156:32

basically

156:33

i realized that there were no

156:35

good definition of what is analytics

156:38

so i decided to come up with a

156:40

definition i i think can hold water very

156:43

easily

156:44

so i define analytics as being how an

156:46

organization arrives at an optimal and

156:49

realistic decision

156:50

informed by data

156:52

every single word is important here

156:55

how an organization might be a company a

156:58

private organ company it might be you

157:00

know publicly traded might be government

157:03

nonprofit so it's an organization so it

157:06

applies to any type of environment

157:10

how you do something implies there's a

157:13

process there's a way to do it there's

157:15

some kind of recipe that you can follow

157:17

to

157:19

get to a success

157:21

the optimal in real estate is really

157:22

important because it plays on the

157:24

ability of the digital analyst to be to

157:27

be creative to to find the balance

157:30

between what would be the best solution

157:33

if there were no constraints if there if

157:36

there were no limits to what i can do no

157:38

constraints of budgets no constraints of

157:41

politics maybe no constraints of the

157:44

legal and ethical environment

157:46

and i could do anything

157:48

so this would be the optimal but

157:50

realistically

157:51

there are a number of things that i need

157:54

to consider so i need to find a balance

157:56

between what would be the best solution

157:59

and what realistically i can do and and

158:02

this also is key for the digital analyst

158:05

because

158:07

oftentimes analysts will make

158:08

recommendations that don't go anywhere

158:11

and the reason for that you very often

158:14

the reason is simply that analysts are

158:17

not able to make recommendations that

158:19

are both optimal and realistic so we

158:22

need to find a balance and informed

158:24

decision implies action and then formed

158:27

by data implies that uh there's still we

158:31

still leave room

158:32

for

158:34

the

158:34

human brain to make a decision to

158:37

leverage their own expertise experience

158:40

and other other

158:42

elements that come into play when you

158:44

have to make a decision so that's why we

158:46

say it's informed it's not automatically

158:49

done with the data

158:51

later on we're going to talk about

158:52

automations and stuff like that

158:54

basically what happened is we delegate

158:56

that responsibility and we automate the

158:58

process but at the beginning there's

159:01

still

159:02

a an informed decision to do it right

159:08

there are three essential elements

159:11

that we need

159:12

i mentioned

159:14

the banking environment the financial

159:16

environment so we need to understand the

159:18

context of the business

159:20

we need we need to have data right

159:23

and on top of that we need to be

159:25

creative so there's a lot of room for

159:27

creativity in what we do being creative

159:30

creative is is the ability to go beyond

159:33

the obvious it's the ability to go

159:35

beyond the here's the top 10 things that

159:38

you should do and be and go beyond that

159:41

you be much better than that

159:44

being creative is being able to

159:46

do better than your competitor because

159:48

it's easy to look at the competitor and

159:50

say oh we're going to do the same no you

159:53

don't want to do the same you want to do

159:54

better than that so context data and

159:58

creativity are the three important

160:00

elements that will allow us to do our

160:03

analytics

160:04

at the core

160:06

of the analyst role when you think of it

160:09

we are essentially change agents

160:12

we bring change to the organization and

160:15

that's why we make recommendations

160:17

uh we push for change and sometimes yes

160:21

it might be difficult

160:22

but again going back to the definition

160:25

of what is analytics we need to balance

160:28

the optimal and realistic so if we

160:31

we are good change agents we're going to

160:34

be able to make recommendations that

160:36

that get acted on right

160:38

and being a change agent means that

160:41

sometimes it won't work

160:43

it will take time

160:45

it will imply you know

160:48

facing you know changes

160:51

about status quo

160:53

we want things to change we want to

160:55

improve things we want to take risks if

160:57

we don't take any risks

160:59

nothing is going to

161:01

the big difference i've seen between an

161:04

analyst and a manager is essentially

161:07

that the analyst has a power of

161:09

recommendation

161:11

but the manager has a power of decision

161:14

so the is in in in the future we're

161:17

going to see more managers who are more

161:20

data savvy and data driven

161:22

or data informed

161:24

and we're going to see that they have

161:26

both the

161:28

skills to be

161:31

really leveraging data in all contexts

161:33

of the business

161:34

but also make the decisions and in the

161:37

analyst role

161:38

you make recommendation but you

161:40

typically don't make the decision except

161:43

in the

161:45

scope of what you are responsible for so

161:48

for example

161:49

if you are responsible to

161:52

optimize adwords campaigns

161:54

on google

161:56

on google search

161:57

you've been delegated that

161:58

responsibility and you are you you make

162:01

the improvement you make the measurement

162:03

and you make the decision to reallocate

162:06

the budgets and optimize those campaigns

162:09

because that power of decision has been

162:11

delegated to you but typically

162:14

when we go beyond those boundaries we

162:16

have a power recommendation no power of

162:19

decision

162:20

so

162:22

is it hard or easy that has been a

162:24

debate for the past 10 years

162:28

i would say you know it's it's really

162:30

easy to start it's really affordable to

162:32

start there are free solutions that you

162:34

can use and get going very easily

162:39

the

162:40

key to make it easier

162:43

is to work on the thing that you can

162:45

manage that you can control and that you

162:48

can influence and we're going to talk

162:50

more about those things manage control

162:52

and influence this is how you're gonna

162:54

keep your work interesting and easy

162:58

and

162:59

in the next lesson we're gonna talk

163:01

about the concept of maturity so we're

163:03

finding out what are our strengths and

163:05

weaknesses

163:07

and based on that develop a roadmap that

163:09

will be optimal and realistic so that we

163:13

can do better digital analytics

163:16

so in this lesson

163:19

we've looked at

163:20

some very important aspects to get going

163:23

and we're going to deep dive into each

163:25

of those aspects a little more in the

163:27

upcoming lessons

163:28

we need context we need data and we need

163:31

to be creative

163:32

we need

163:33

to

163:34

understand how we can break something

163:36

complex into smaller parts so that we

163:39

can understand it and we can optimize it

163:42

we need to understand also that

163:46

we went from web analytics

163:49

web focus and marketing centric to

163:52

digital analytics where we can leverage

163:55

any

163:56

data we have

163:57

and we can basically optimize any aspect

164:00

of the business given we understand the

164:02

context and we can leverage the data

164:06

we also

164:09

want to

164:10

emphasize the importance

164:12

of working especially when you're

164:14

starting in the field

164:15

work on the things that you can control

164:18

manage and influence

164:20

and lastly doing a maturity assessment

164:23

will allow you to identify your

164:24

strengths and weaknesses

164:26

and develop a roadmap that will

164:28

work for you

164:29

over the next six months year and then

164:32

repeat the process of

164:34

accessing your maturity and adjusting

164:36

the world map accordingly

164:38

in the past web analytics and not

164:40

digital analytics but web analytics was

164:42

defined as the measurement collection

164:44

analysis and reporting of internet data

164:46

for the purpose of understanding and

164:48

optimizing web usage so as we saw in the

164:51

first lesson it's important to

164:54

go

164:55

beyond this restrictive definition of

164:58

what is web analytics and embrace

165:00

digital analytics there are still

165:03

components of

165:04

data collection

165:06

measurement

165:07

analysis

165:08

reporting and visualization so but the

165:11

difference is that we're not web-centric

165:14

we're not marketing-centric we want to

165:16

use the right data in the right context

165:19

to inform business decisions

165:21

so today's the role of digital analysts

165:24

is quite different we are change agents

165:27

as i mentioned

165:28

because we

165:29

know how to make sense of the data we

165:32

want to

165:33

bring it to life and be able to

165:36

convey an understanding

165:38

of what is possible

165:41

so by breaking

165:43

something complex into smaller parts

165:45

again we can also understand the

165:48

constraints and what is possible

165:51

given the specifics of your

165:52

organizational

165:54

environment so in this lesson we're

165:57

going to learn about the digital

165:59

analytics maturity model which is a

166:02

concept that i've created years and

166:04

years ago as a way to assess

166:07

your organization's trends and

166:09

weaknesses your capabilities over

166:12

various key areas of maturity

166:15

so this is how we're going to look at

166:17

people processing technology but with a

166:20

broader

166:21

understanding of what are the factors

166:24

that will help you succeed in digital

166:26

analytics

166:30

so

166:30

there are a couple of famous

166:33

guidelines i would say and one of them

166:35

came from avinash kaushik a number of

166:38

years ago

166:39

it's called the 1090 rule

166:42

what it stated was that if you have only

166:44

a hundred dollar to spend on digital

166:46

analytics ten dollars should be spent on

166:48

the tools and ninety dollars should be

166:50

spent on the people using those tools

166:52

and you know be it 10 90 or 20 80 the

166:56

concept is that people are more

166:58

important than the tools and the great

167:00

thing is in this course

167:02

you are developing your skills as an

167:05

analyst you're going to be able to apply

167:07

that regardless of the tool so your

167:09

value in the market is going to increase

167:12

so analysts are

167:14

you know we can extract data from the

167:16

tools there are tools that will spit out

167:19

a number of

167:20

interesting data and interesting reports

167:24

but without an analyst to really

167:26

understand what is going on

167:28

you won't be able to provide valuable

167:31

insight things that the business will

167:34

care about

167:36

so not just data data is easy to get at

167:39

a certain point information is

167:41

relatively easy to get also but

167:44

you need to go beyond that you need to

167:47

understand the business you need to

167:50

be able to provide actionable insight

167:55

another example of a guideline

167:57

again put forth by avinash kaushik is

168:01

the 2080 rule about the work of an

168:04

analyst

168:05

so ideally

168:06

we would like to

168:08

spend a very little amount of time doing

168:10

just reporting because reporting is

168:12

typically available out of the box from

168:14

a tool and

168:16

frankly anyone can go in a tool look at

168:18

the numbers and make up their own mind

168:22

the analyst brings a lot more value

168:24

because of the unique skills of the

168:26

analyst to be able to bring context to

168:29

the data

168:30

the sad reality and it's true in digital

168:34

analytics it's true in business

168:36

intelligence and other fields we spend a

168:39

lot of time

168:40

getting the data ready and

168:43

very little time doing real analysis

168:46

work

168:47

so

168:48

maybe it looks more like this where you

168:51

do some reporting but

168:53

you should also spend time doing

168:57

looking at the various acquisition

168:59

strategies looking at understanding

169:02

customer experience looking at is

169:04

staying plugged into the context

169:06

you know understanding the business the

169:08

evolution of the business but it could

169:10

also be understanding the evolution of

169:12

our industry the digital analytics

169:14

industry and knowing that there are new

169:16

tools and concepts out there that could

169:18

be useful for your analysis

169:20

exploring new strategic options to

169:23

influence the business and of course you

169:25

need some breaks and lunch in those

169:26

times so maybe the part missing here is

169:29

the sad reality that you could have

169:32

another circle that would go around

169:34

around this one that would be about

169:37

getting the proper tags on the site to

169:40

collect the right information also

169:42

transforming and preparing all of the

169:44

data so you can actually do analysis

169:47

so

169:48

what are the some of the mistakes that

169:51

we see most often when it comes to

169:53

digital analytics one of those is

169:57

failing to understand the

169:58

issue of integration the data collection

170:01

itself the tagging as we call it or

170:04

integrating data from the website with

170:06

other data source it takes a lot of time

170:09

it is complex failing to realize the

170:11

limits of unstructured data or we could

170:14

even

170:15

just say fail to realize the limits of

170:18

data in the first place the different

170:20

tools have different ways of collecting

170:22

the data they have different meanings so

170:24

you could even end up with two metrics

170:27

that are very similar but somewhat

170:29

different because one come from a social

170:31

media source the other one comes from a

170:33

different tool and you try to match

170:36

those numbers and they simply don't

170:38

match

170:39

a third mistake is to assume that

170:42

correlation has any meaning to explain

170:45

something and it's easy to

170:48

find correlation where there's actually

170:51

no relationship no meaning it's easy to

170:54

fall into some kind of self-fulfilling

170:56

prophecy where

170:58

we

170:59

seek the data that will justify or

171:01

satisfy our hypothesis instead of the

171:03

other way around

171:04

and then underestimating the labor

171:07

skills needed

171:08

we often

171:09

get told that such and such tool are

171:12

going to make the job super easy and

171:15

anyone can do it and so on but it's not

171:17

always true yes some tools can make our

171:19

job easier

171:21

but certainly not easy

171:23

and as the

171:25

tools gets better

171:27

the expectation the complexity of what

171:30

we have to work with is

171:32

increasing

171:33

faster

171:35

so there's always a lot of demand in the

171:37

market for people with the right talent

171:41

to leverage data

171:43

the team and expertise of course is

171:46

super important it's not about

171:48

knowing how to use a specific tool but

171:51

it's about being smart being intelligent

171:53

being able to exercise judgment

171:57

and

171:58

be able to apply those skills in the way

172:00

that you're going to analyze data

172:04

so the team and expertise represent is

172:06

quickly represented by the way

172:09

the skills are structured within the

172:11

organization so how does your

172:12

organization structure its data and

172:14

analytics resource and team

172:17

so maybe there's no dedicated resources

172:19

maybe there's a project team again is a

172:22

challenge because the project is

172:24

eventually going to end and those people

172:26

assigned to the project are going to go

172:28

back to their business doing something

172:30

else

172:31

or maybe it's just a part-time analyst

172:33

and that's a challenge because

172:35

the

172:36

field of expertise is so complex that

172:39

working on your own

172:40

part-time is very difficult so it's

172:43

getting better when you have a full-time

172:45

analyst a distributed team so different

172:47

skill sets but reporting the different

172:50

managers

172:51

while at level four you have a

172:52

multi-disciplinary team of people

172:55

working for the same single manager

172:58

and at level five you reach a point

173:00

where your business stakeholders

173:02

your users are empowered they know how

173:06

to get to the information they need and

173:09

they understand what it mean and they

173:10

can make decisions on their own

173:13

area number four is by far the weakest

173:17

spot so there are some benchmark data

173:21

about the digital analytics maturity

173:23

levels of different organizations

173:25

and by far it's always the weakest spot

173:29

so

173:30

we want to be able to have a methodology

173:33

in place a process in place so that when

173:36

we do something we know the recipe

173:39

so compare that to a cookbook you can

173:42

follow the cookbook but it won't make

173:44

you a master chef

173:47

here we want to be able to do is to

173:50

identify problems and opportunities

173:53

develop hypotheses and eyes and provide

173:55

insights if you don't have any

173:57

methodology

173:59

every time you have to do an analysis

174:01

you start from scratch you don't know

174:03

how to do it

174:04

maybe over time you've defined your own

174:06

way so first time you do an analysis of

174:11

your campaign performance on google

174:13

search

174:14

maybe it's a little bit more difficult

174:15

but over time you know that oh if i have

174:17

to do it again this is how i do it

174:20

it's good but the problem is

174:23

if you go on vacation or if you leave

174:25

the organization there's no

174:27

that knowledge is lost

174:29

maybe as a team as a group of people

174:32

working together maybe you have defined

174:34

your own methodology again it's that bad

174:37

every time you someone new comes to the

174:39

team you have to train them there's a

174:41

learning curve

174:42

while at level three if you use a proven

174:45

methodology and in this course i'm going

174:47

to show you

174:48

one way one proven methodology that can

174:51

be used to do analytics the benefit is

174:53

there are probably training books

174:56

resources that you can leverage

174:59

even courses that you're going to be

175:01

able when you hire someone to say

175:03

knowledge of such and such methodology

175:05

is the criteria for this job

175:07

at number four you are agile

175:10

but for online tasks for example

175:14

it is very likely that your website has

175:16

been developed

175:18

with agile development concepts in mind

175:21

but how is it that once the website is

175:24

live we want to do analysis and we don't

175:26

use an agile methodology to do our

175:29

analysis that doesn't make sense

175:31

but the rest of the organization maybe

175:33

is not as agile as the web environment

175:36

or the digital environment so that's why

175:39

at level five the whole organization is

175:41

agile be it for offline or online

175:44

processes

175:45

so there's quick evolution quick

175:47

adaptation of the environment and how to

175:50

leverage that it's important to note

175:52

that agile doesn't necessarily mean

175:55

agile development as in developing

175:58

websites

175:59

there's important aspect of agile

176:01

management which is a philosophy of

176:04

management

176:06

so the

176:07

agile methodology that we're going to

176:09

use is called lean six sigma

176:11

and it has a couple of

176:13

easy to understand improvement steps

176:16

that we can go through

176:18

it's uh the benefit of linseed sigma

176:20

it's a well-defined set of practice

176:22

aiming at

176:24

eliminating defects

176:26

so it used a lot of segmentation of data

176:29

slicing and dicing of the data

176:31

looking at it in different ways if you

176:33

like

176:34

it is perfect for as a continuous

176:36

improvement process when the environment

176:38

is changing and evolving quickly

176:41

but it also has an in in its mindset the

176:46

fact that it's a collaborative team

176:48

effort that will lead to success so

176:50

let's look at what are the dmaic

176:53

improvement cycle so we start with

176:55

define

176:57

measure analyze improve and control

177:00

so the dmaic acronym is define measure

177:04

analyze improve and control

177:06

so we're going to be able to look into

177:08

the details of each of those steps but

177:12

briefly what we mean here is you start

177:15

by defining what is the problem you're

177:17

trying to solve what is the opportunity

177:19

you're trying to capture

177:21

what data is available and if it's not

177:23

available what how would i collect it

177:26

analyze we want to find correlations and

177:29

patterns in the data

177:31

in order to understand what's going on

177:33

and in the improved phase we want to be

177:36

creative in order to provide

177:38

recommendations that are

177:40

both meaningful

177:41

relevant appropriate

177:43

given the context

177:45

and control is once we've done those

177:47

changes

177:48

we want to make sure that we've actually

177:50

achieved a sustainable improvement we

177:52

want to come back to it and make sure

177:55

that yes indeed we did some we improved

177:58

the outcomes

178:01

so

178:02

the goal here is you might have seen

178:05

information in the past about sigma and

178:08

there's there are caveats there are ways

178:11

of using sigma in different ways and

178:14

they have different training levels you

178:16

can be a green belt or a black belt a

178:18

bit like in karate but the precepts or

178:22

the concepts of sigma are pretty simple

178:25

it has the user in mind all the time

178:29

you want to deliver consistent quality

178:32

it is data driven you want to increase

178:34

velocity and velocity is improving the

178:38

speed at which you deliver value to the

178:40

organization so imagine it through the

178:43

dmaic cycle imagine that you reduce the

178:46

time between the moment you find a

178:48

problem on your website

178:50

a problem in the user experience

178:53

you find that problem

178:54

and you reduce the time between the

178:57

moment you find a problem the moment you

178:59

solve the problem you've just increased

179:01

velocity you're

179:03

providing additional value faster to the

179:05

organization

179:07

sigma or lenses sigma also provides a

179:09

lot of tools and a good framework to get

179:12

going quickly and it allows you to

179:15

quantify the complexity of what's going

179:18

on

179:18

so all of that

179:20

readily applied to our environment so

179:22

it's it's really fascinating that to see

179:25

that lenses sigma or c sigma was

179:27

developed maybe 20 years ago and apply

179:30

in an environment for manufacturing but

179:33

we can readily leverage this expertise

179:36

that was developed over time and apply

179:38

it in our field so we don't have to

179:40

reinvent the wheel

179:42

the last dimension is the tools

179:44

technology and data integration and

179:46

interestingly enough this is probably

179:48

the one that has the least influence of

179:50

on your ability to be successful with

179:52

analytics so

179:54

we have this great saying do not put

179:57

your faith in what statistics say until

179:59

you have carefully considered what they

180:01

do not say

180:02

so i don't mind which tool you are using

180:06

or how big your big data is that's not

180:10

what is really important you can green

180:12

you can have a lot of insight with small

180:15

data and simple tools

180:17

it's all a matter of balancing all the

180:20

aspects

180:21

of your digital analytics practice

180:24

so the questions are

180:26

it's not about which tool you are using

180:28

it's about this level of sophistication

180:31

in the way you are using those tools so

180:33

maybe you don't have a tool that would

180:35

be the lowest level

180:37

maybe you have out-of-the-box solution

180:39

like click stream analytics basic

180:42

instrumentation basic implementation of

180:44

google analytics for example at level

180:46

two you have defined clear outcomes kpis

180:49

and dashboards level three you are using

180:52

segmentation

180:53

you are applying merchandising concepts

180:55

if you are an e-commerce website you do

180:57

a b testing a campaign optimization you

180:59

have defined personas kpi alerts

181:03

so all of that maybe if you are not

181:05

familiar with that terminology those are

181:07

all things that we're going to cover

181:08

during the course

181:10

at level 4 you use multiplicity so

181:12

multiple data source in order to gain a

181:15

better understanding of what's going on

181:17

you might be merging different marketing

181:20

data source doing multi-value testing

181:23

behavioral targeting that would be an

181:25

indication of greater maturity

181:27

and at level 5 you use crm data and data

181:32

about your customer with marketing you

181:34

might be doing predictive analytics

181:37

and evaluating the lifetime value of

181:39

your customers so this requires a more

181:42

sophisticated understanding of digital

181:44

analytics or analytics concepts

181:47

there was a global organization in the

181:49

gaming industry they decided to group

181:52

their 20 stakeholders

181:54

including analysts managers and business

181:56

stakeholders and do an internal

181:59

mini conference where everyone would be

182:02

presenting a little something on what

182:04

they are working on

182:06

so what we did is we did a maturity

182:09

assessment

182:10

individually so we asked everyone to

182:13

fill out a survey

182:15

for those who are managing analytics

182:18

their perception was that

182:20

everything was pretty well advanced

182:23

pretty high level of maturity

182:25

all pretty well balanced

182:28

except the expertise and they recognize

182:30

that they were trying to hire more

182:33

people in the team and that's why their

182:35

expertise was lacking a little bit

182:38

so very strong

182:40

very good level

182:43

when we look at who is responsible so

182:46

those are typically the analysts

182:48

themselves

182:49

the picture was quite different the

182:51

picture was that most of the aspects

182:54

were low interestingly enough expertise

182:57

was at the same level

182:59

process was pretty high and technology

183:01

was very high but governance and

183:02

objectives were very very low compared

183:05

to the perception of the managers

183:07

so right there we see that there's a big

183:10

disconnect between

183:12

the perception of capabilities from one

183:15

group the managers

183:17

to the other the people who are actually

183:20

doing the analysis

183:21

and technology isn't an issue it's

183:24

actually higher than what the manager

183:26

felt because the analysts were saying

183:29

we've got all the tools we need that's

183:30

not an issue

183:32

and process was also fairly high

183:35

but then this came out those informed

183:38

people are their business stakeholders

183:41

and

183:42

they are typically the product managers

183:44

of the games one of the comment was

183:47

really really clear it said something

183:49

like

183:50

i get all those great reports

183:52

and they are very interesting and i get

183:55

recommendations

183:56

but

183:57

i don't understand how they got there

183:59

therefore i don't really trust it

184:01

so we see just through this simple

184:04

maturity assessment involving different

184:07

stakeholders we see that the perception

184:10

of capabilities was very different so

184:12

what what is the solution to a scenario

184:14

like this the solution was to for the

184:17

managers to sit down with their analysts

184:20

and really explain this is why what you

184:23

do is so important this is how it's

184:25

going to be used this is how the

184:27

stakeholders are going to be

184:29

making decisions based on your data

184:32

based on your the information and the

184:34

insight you provide and based on the

184:36

recommendations you provide

184:38

this was a great way to engage the

184:40

conversation and then decide what is the

184:42

action plan

184:43

that we want to do in order to

184:46

identify what is the expertise they need

184:48

do they need to hire someone new junior

184:50

or senior do they need maybe someone

184:53

external just for a short time and hire

184:55

a consultant and so on do maybe what

184:57

they needed actually is not someone new

184:59

maybe what they needed is training in a

185:02

specific area so that they become more

185:04

efficient

185:06

so again the solution to that was not a

185:08

technical solution

185:10

it was just about communication and

185:12

change management

185:14

so do they need more training maybe yes

185:17

maybe no what kind of skills they should

185:19

develop and should they hire someone

185:22

with those skills already or just train

185:24

people to about those skills

185:26

do they need temporary help or someone

185:29

that will have a

185:31

will be on boarded full-time what can

185:33

they do to educate and engage their

185:35

stakeholders so that they have a greater

185:37

trust in the data in the information

185:40

recommendations and so on

185:42

so let's see

185:44

how we have three different areas of

185:47

skills that we need to understand in

185:49

order to be successful as an analyst

185:52

the first one is the business outcomes

185:54

and actions the second aspect is the

185:57

enabling capabilities and the third one

185:59

is analysis so let's look in at each of

186:01

those those aspects

186:04

so it starts with a strategy and some

186:07

goals that are communicated as business

186:09

requirements and objectives to people

186:12

who understand

186:14

the technological capabilities and

186:16

constraints of the various technologies

186:19

that you're using

186:21

if you're building a website it's

186:22

different from building a mobile

186:24

application it's different from doing

186:26

advertising on mo on social media and so

186:29

on so those are the unique

186:31

characteristics of the technologies that

186:33

you are using people those people tends

186:36

to have a good understanding of the

186:39

information architecture what are the

186:41

functional components on your website

186:43

how to do tagging and how what is the

186:46

structure and what data is available so

186:48

those are more technical skills

186:51

but what they do is they make it

186:53

possible they enable you to have

186:57

the means the tools and the data

186:59

so that someone with more of a

187:02

statistical background problem-solving

187:04

approach someone who's able to sanitize

187:06

a lot of information a lot of data into

187:09

something meaningful

187:10

and communicate effectively back to

187:13

the stakeholder and communicate

187:15

actionable insight and recommendations

187:17

so when you think of it

187:19

think about you think about what is your

187:22

strength in which area are you the

187:24

strongest is it on business side is it

187:26

on the more enabling technology side of

187:29

things is it more in statistics and

187:31

effective communication and things like

187:32

that so typically every one of us we

187:35

have one

187:37

strength one very strong area we have an

187:40

area that we can manage we're okay with

187:43

that we can get along with it and the

187:44

third one usually is something that

187:47

either we're not interested or we're not

187:49

skilled at doing so this reinforces the

187:51

importance of working as a team finding

187:55

other people who will be able to augment

187:58

your ability to have an empowered

188:01

analytics team and deliver more value to

188:03

the organization if you are a consultant

188:06

consultant often

188:08

do implementation

188:09

of

188:10

digital analytics solutions so they are

188:13

in the enabling capabilities area and

188:15

their clients

188:17

usually know a lot more about the

188:19

business than they do which is perfectly

188:21

fine so right there it applies also to

188:25

a consultant versus client relationship

188:28

where the consultant is there to augment

188:32

the capabilities in some of those areas

188:35

but certainly not replace all of them

188:39

as a reinforcement of the fact that

188:41

analysts are changing agents

188:43

there's really one big difference

188:46

between an analyst and a manager

188:48

the analyst has the privilege of making

188:51

recommendation

188:52

but typically no power of decision

188:56

imagine

188:57

that you are

188:58

the manager

189:00

and

189:01

the analyst comes with the

189:03

recommendation you've made would you say

189:05

yes to that

189:06

if as the analyst you wouldn't say yes

189:08

to your own recommendation it's

189:10

obviously not a good one you need to go

189:12

back to the drawing board

189:14

what are the qualities of a good digital

189:17

analytics leader

189:18

you have to have a breadth of

189:20

understanding you have to be able to

189:24

translate business requirements into

189:27

creative useful meaningful solutions

189:30

a good analyst is someone who who asks

189:33

questions they they don't go with the

189:36

obvious they want to go beyond that

189:39

they have an ability to understand what

189:42

are the needs of their stakeholders and

189:44

propose the right solutions

189:46

but they also need to have a depth of

189:48

knowledge they need to

189:50

have some

189:52

specialist area

189:54

be it you know technical skills or be

189:57

a depth of understanding into

190:01

a specific business like automotive

190:03

industry so

190:04

you have different

190:06

knowledge in different business

190:08

disciplines are going to be very

190:10

important

190:12

so think of the depth and breadth of

190:15

knowledge so the ability to operate

190:18

across different

190:19

disciplines is going to be important so

190:22

are you someone who

190:25

statistics or are you someone who

190:28

understands statistics for the

190:30

automotive industry for example

190:32

that's different so breadth versus depth

190:36

of knowledge but obviously again you

190:38

won't be able to master everything

190:40

so depth of knowledge versus breadth of

190:44

understanding and here in this course

190:46

we want to expand your breadth of

190:49

understanding of the concepts of digital

190:52

analytics to so that you're going to be

190:54

able to apply those concepts

190:56

in the specific vertical industry with

190:58

the specific tools so that will be the

191:00

depth of knowledge

191:03

so focus is another aspect you need to

191:07

be able to make abstraction of what is

191:10

irrelevant and focus on what is really

191:12

meaningful for your analysis

191:14

sometimes we see that in analysis where

191:17

it's going a little bit all over the

191:18

place and eventually come up with a

191:20

conclusion that is not really

191:23

well tied to the analysis process that

191:27

just went on

191:29

you are detail-oriented oftentimes

191:31

motivation is what really excites you

191:34

about analytics in one way we can

191:37

consider that

191:38

for example everybody knows how to use

191:40

excel to do spreadsheets about anything

191:44

you can be an expert at using excel and

191:48

being build absolutely amazing

191:50

spreadsheets or you could be someone who

191:53

knows about budgeting and create a

191:56

simple budget in excel so you don't have

191:59

to be an expert at the tool in order to

192:01

leverage it so which way are you is it

192:04

more

192:05

the trill of

192:07

leveraging a technical tool to do

192:09

something absolutely amazing or is it

192:11

using the tool for

192:12

simplifying your work from a business

192:14

standpoint

192:16

so you can look at what excites you

192:17

about analytics what do you think is

192:20

going to be the next big thing in this

192:22

industry

192:23

sometimes

192:24

you don't have to do analytics all the

192:27

time

192:28

you have to understand the concepts so

192:30

that if you need you're going to be able

192:32

to find the right resources to help you

192:34

out

192:35

so there's some useful

192:38

tools that you can leverage the digital

192:40

analytics association has for its

192:43

members only it has a tool that allows

192:46

you to do an assessment

192:48

of your

192:50

professional career and provides you

192:52

with some guidelines on how to improve

192:54

so just the fact that you're taking this

192:56

course is already a very good indication

192:59

of your desire and ability to expand

193:02

your horizon and learn more about

193:04

digital analytics so keep going

193:07

a couple of key takeaways success

193:10

depends greatly on the digital maturity

193:14

of your organization but also of your

193:15

own

193:16

skills

193:18

you want to identify and find

193:21

what are your strengths and weaknesses

193:23

you want to balance the various areas of

193:25

success

193:27

and you want to reap the maximum

193:28

benefits before you try to move on to

193:30

the next level

193:32

the framework of the digital analytics

193:34

maturity model will help you communicate

193:36

or start a conversation

193:38

i think if there's one key element you

193:41

need to remember and we'll

193:43

get back to that is the define measure

193:45

analyze improve control cycle this is

193:47

going to be very useful

193:49

and it's preferable to do small

193:52

incremental improvement with using agile

193:55

concepts rather than trying to change

193:57

big things and take big risks that can

194:00

easily fail

194:02

the your own skills and the team

194:04

structure if you remember the t-shaped

194:07

breath and death aspect i think is going

194:09

to guide you in what are your interests

194:12

and what skills you you want to develop

194:15

over time hi this is avinash and welcome

194:17

to the next edition of our web analytics

194:20

videos this one's on a

194:22

topic that is near and dear to

194:23

everyone's heart and its creep

194:25

performance indicators um i don't think

194:27

that uh

194:28

you can go very far in web analytics

194:30

without hearing the name kpis uh

194:32

brandished about in all its excitement

194:35

and glory and yet

194:36

i think that uh for the most part people

194:39

um are a bit confused about what kpis

194:41

are how to select them how to make them

194:43

more actionable what value do they add

194:45

and

194:46

and all of those other wonderful kinds

194:48

of things and so in this video we're

194:50

going to do two two parts of this video

194:52

and um it's going to be my attempt to

194:54

start at the sort of the ground floor

194:56

and explain from the from the very

194:58

beginning what what these things are and

195:01

how do you

195:02

understand and study these animals

195:04

called kpis and how can you how can you

195:07

avoid some of the pitfalls that um that

195:09

sort of befall many of the

195:11

other people and get your own web

195:14

analytics journey off to a flying start

195:16

so

195:17

this is going to be a lot of fun and

195:19

regardless of what role you have

195:21

regardless of whether you work on the

195:25

seo side of things or ppc pr

195:28

online email marketing

195:31

just or traditional website analysis i

195:34

really think that these two videos are

195:36

going to be very important and relevant

195:38

to

195:39

pretty much any persona that touches

195:41

your website

195:42

so i hope that you're going to have fun

195:44

and let's get going

195:49

um the very first thing that i wanted to

195:51

sort of cover is uh set a baseline for

195:53

what a kpi is and of course when in

195:55

doubt there's only one place we can all

195:58

go and that's the great wikipedia so

196:01

obviously wikipedia has a wonderful

196:03

entry for key performance indicator and

196:05

their definition of kpi is actually a

196:08

good one and it states that kpis are

196:10

financial and non-financial metrics used

196:13

to help an organization

196:15

define and measure progress towards an

196:18

organizational goal so a bit bit high in

196:21

mighty you know and and glorious perhaps

196:24

but nonetheless a really really nice

196:26

definition of what a kpi means again

196:29

regardless of

196:30

um what channel you apply to it and

196:32

regardless what persona is going to end

196:34

up using it and and to me i think that

196:36

if you step back from the definition

196:39

i was joking with

196:41

john marshall that you know kpis are

196:44

are like heartbeat is is a kpi that that

196:47

i can measure using a stethoscope and um

196:51

i put you against your heart and i can

196:52

see if you're alive or dead you know the

196:54

beating of the heart is is the kpi that

196:57

indicates

196:58

uh something very critical about your

197:00

body you know another kpi is the

197:03

temperature of your body that i could

197:05

take using a thermometer and in this

197:06

case the kpi gives a different

197:09

sort of read and it tells me if you're

197:12

feeling well or you're running a

197:13

temperature and if you're running a

197:15

temperature how high is it and do we

197:17

need to just take an aspirin or call a

197:20

fire brigade to put off you know your

197:22

your 1010 temperature well at that

197:24

temperature you probably need other

197:26

health but regardless

197:28

so in its simplest terms i i encourage

197:31

you to think of kpis as as those kinds

197:34

of indicators that sometimes tell you

197:36

something is drastically wrong in the

197:38

case of the heartbeat or at other times

197:41

can help us understand some interesting

197:43

things about um about the process that

197:46

you're measuring and um of course i i

197:48

had to sort of come up with my own

197:49

definition you know and to me i i hope

197:52

that that you'll you'll agree that this

197:53

is sort of a very simple easy to

197:56

understand metric and balances two very

197:58

important things and and the definition

198:00

is kpis are measures that help you

198:02

understand how you're doing against your

198:04

objectives and then really these two

198:07

things are very important there's two

198:09

words at the end the very first one is

198:11

measures and the other one is objectives

198:14

and i really do believe

198:16

that objectives are very critical to

198:18

understand before you go on a kpi

198:21

hunting mission so so so keep that in

198:23

mind you know measures that help you

198:25

understand how you're doing against your

198:27

objectives are are is exactly what i

198:29

think kpis are key performance

198:31

indicators and let me give you a couple

198:33

examples you know make sure let's have

198:35

some fun and and

198:37

understand couple of kpis that may not

198:39

be top of your mind and and uh further

198:42

sort of make this concept more concrete

198:44

and here's here's a great example of

198:46

course there's a kpi library on the web

198:48

you know surprise surprise um

198:50

and then here's a really great kpi uh

198:54

percent of

198:55

nasocommerce infections and and the way

198:59

that the kfi is defined i think is very

199:01

much along the definition we've just

199:03

proposed and it is how many inpatients

199:06

acquire infections inside the hospital

199:10

you see see there it's it's a measure

199:13

very clearly defined and tied to an

199:16

objective which is that people coming

199:18

into the hospital with no infections of

199:20

any kind should not get infected once

199:23

they're in the hospital so absolutely a

199:25

glorious wonderful example of what a kpi

199:28

is and here's another one we were doing

199:30

a webinar and and of course um

199:33

much to my delight there were a number

199:35

of kpis that i could see

199:38

in in the dashboard that was presented

199:40

right here and and the one that i

199:41

thought was most beautiful and

199:43

delightful was

199:45

attentive the percent of people who were

199:48

on the webinar at that given moment in

199:50

time who were paying attention to what i

199:52

was saying this is a very very good

199:54

metric it's a clear measure tied to our

199:57

objective that we're giving a webinar

199:58

and everybody should be paying attention

200:00

it's a really wonderful metric again

200:02

another one that's not totally tied to

200:04

our daily web jobs but nonetheless makes

200:06

the concept concrete and

200:09

let me give you a last example of a kpi

200:12

and a lot of people don't think about

200:13

this when they're measuring websites but

200:15

i really love it this is a kpi that's

200:18

actually used by blinds.com

200:20

and daniel is the cmo over there shared

200:22

this data with me and his kpi is gross

200:25

margin per visitor so he really measures

200:29

this hardcore for people who come visit

200:32

his website and and over time as you can

200:34

see over the course of two years nearly

200:37

two years the kpi has gone up and to the

200:39

right again measuring the outcome which

200:41

is improving the gross margin

200:43

for every single website visitor clearly

200:46

defined kpi that that daniel is

200:49

measuring much to the success of

200:51

blinds.com so those are just three

200:54

examples that hopefully help you make

200:56

the definition more concrete but let's

200:59

actually before we dive too deep into

201:01

other examples of kpis that you could

201:04

use and you should be using for your web

201:06

business let me walk you through four

201:09

distinct attributes of a great kpi

201:12

before we get into too many examples and

201:14

and this is sort of

201:16

a test that i encourage you to apply

201:18

every time you go out there and choose a

201:20

kpi for your business

201:25

and the very first very but very very

201:28

very critical one is i think great kpis

201:32

are uncomplex

201:35

and let me let me let me help you

201:36

understand that i i run into things all

201:39

the time where i i saw this kpi

201:42

engagement quote unquote engagement kpi

201:45

and and essentially had seven variables

201:47

some were multiplied divided by the

201:49

other ones and and some were to the

201:51

power of something else and at the end

201:53

of these six or seven variables a number

201:55

was spit out and it was so

201:58

complex that there's just no one except

202:00

the creator of the kpi who could

202:02

understand what it actually meant or

202:04

what the number that got spit out meant

202:06

but worse than that the other problem

202:08

with this kpi was that if even if the

202:11

number got spit out and you understood

202:13

what the definition was there's just no

202:15

way on god's green earth they can

202:16

understand which of those variables over

202:18

the root cause was

202:20

of of things happening well or not

202:22

happening well in fact most of the time

202:25

some of the variables were up the other

202:26

were the other way down and the number

202:28

that got spit out was essentially flat

202:30

so you could wrongly assume that

202:33

everything was great with the business

202:34

when in reality it was not the case at

202:36

all so

202:37

i strongly encourage you when you pick

202:40

kpis to make them uncomplex because if

202:42

you're the only person is the creator

202:44

who understands what the kpis what

202:46

definition of what it's measuring then

202:48

it is highly unlikely in today's

202:50

distributed complex organizations where

202:53

we're trying to create data democracy

202:55

that you'll succeed in your mission of

202:57

making your

202:58

company data driven and use that kpi it

203:00

is highly likely that complex kpis

203:03

essentially become auto deleted when you

203:05

send them out and nobody can understand

203:07

or take action from them so try not to

203:09

be cute at least initially and create

203:12

metrics that are uncomplex because in

203:14

the end what you're solving for is an

203:16

organization to use the kpi to take

203:19

action and not just you yourself so this

203:21

is great first

203:23

test that you should apply

203:27

and the second one is kpi should be

203:30

relevant there is this there is this

203:33

belief today that best practices work

203:36

for everyone there even our books

203:37

recommending kpi saying oh here's a

203:39

cookie cutter mechanism if you are a a

203:44

seller of widgets or you're a social

203:46

network or you're you're you're you're

203:49

um

203:50

you know a blog then here are the kpis

203:52

that you should use and and that's it

203:55

and you should not worry about anything

203:56

don't hurt your pretty little brain and

203:58

just copy paste these and and happy

204:00

birthday to you and and this really is

204:02

not true in my experience i find that

204:05

kpis are very unique to each business

204:08

and the objectives of each business

204:10

remember our definition measures is the

204:12

first word objectives is the last word

204:15

in fact to me best buy and circuit city

204:17

make a great case where essentially on

204:19

the surface both of these businesses are

204:21

exactly the same they sell electronics

204:24

pretty much exactly same electronics

204:25

look at the look at the top navigation

204:28

bar

204:28

in fact for both of these businesses and

204:30

there essentially could be a copy paste

204:32

of each other and yet

204:34

when you think about the objectives of

204:35

what these businesses are solving for

204:37

they each have an extremely different

204:39

business strategy online circuit city is

204:42

heavily heavily into getting people to

204:45

come to their stores look at look at the

204:47

free shipping on orders

204:49

25 and up and ch or choose 24 minute

204:52

in-store pickup then there's nothing

204:54

about sort of store pickup right there

204:55

in the header so circuit city's core

204:57

strategy let's drive people to the store

204:59

best buy score strategy let's get people

205:01

to buy online and yes we do have an

205:03

option to pick and store but that's not

205:04

really the core strategy so go back and

205:07

try and understand what you're solving

205:08

for in your business and it's okay to

205:10

take inspiration from others but if you

205:13

simply copy-paste metrics

205:15

then it is highly likely that they might

205:17

not be relevant to you and you won't be

205:19

able to make as much progress in your

205:21

business as you could possibly

205:23

want to have happen so remember that

205:26

kpis should be relevant to your business

205:32

the third one is that the third awesome

205:35

rule is they should be timely

205:38

very very important i was doing a job

205:41

interview with a with a company a couple

205:43

years ago and and i asked them you know

205:45

how come your performance in the last

205:46

quarter was uh actually spectacular you

205:49

made a ton of money and what they said

205:50

to me is ah yes yes we would like to

205:53

understand that we've just executed the

205:55

query that will help us understand

205:58

what's happening with that metric

206:00

increased revenue and that query will

206:02

return its results in two months i'm not

206:05

even joking

206:06

admittedly this is a big business but if

206:08

the answer to your kpi takes two months

206:12

to find it's highly unlikely that you

206:14

would be able to take action that you

206:16

need

206:17

remember the web moves at a pace of

206:19

light and it's very important that the

206:20

metrics you create at least most of them

206:23

not all of them but most of them are

206:25

available in a timely fashion so if you

206:28

want to make decisions on a weekly basis

206:30

then creating kpis that take a week to

206:33

collect is highly unlikely that you

206:35

would have time left over to find

206:36

insights and take action so remember to

206:39

apply the test that kpis should be

206:40

available to you be able to be computed

206:43

and available to you in a timely fashion

206:46

and in in

206:47

time enough so that you can then look at

206:50

the kpi and then further spend some time

206:52

understanding analyzing segmenting it so

206:54

you can take action on it so timeliness

206:56

is very important

207:00

the last rule is they should be

207:02

instantly useful um and this this rule

207:05

is because i've seen so

207:07

many kpis they just want to make me cry

207:11

because i they just it takes like 10

207:13

minutes to explain what they are and and

207:15

they and there's really no way that we

207:18

can make everyone understand what the

207:21

numbers are showing um and they're not

207:23

really instantly useful and here's a

207:25

great example of what i mean by

207:27

instantly useful this is a report from

207:30

click tracks one of my favorite tools

207:32

and as soon as you look at this report

207:34

it's not a data puke of the top keywords

207:37

that are driving traffic to my website

207:39

what it is showing me are the keywords

207:41

that are statistically more significant

207:44

now and are actually sending me

207:47

sending me more traffic over the time

207:50

period i'm analyzing or less traffic in

207:52

the time period that i was analyzing so

207:55

as soon as i look at this report

207:57

immediately i can take some action

208:00

and this is really what i recommend that

208:02

your kpis be on your dashboard your

208:04

senior decision maker should be able to

208:06

look at your core kpis and and just by

208:08

looking at the numbers whether up or

208:10

down or flat they should be able to

208:12

sort of understand at least some

208:15

semblance of of what kind of success is

208:18

being driven um from those kpis or lack

208:21

thereof so look for kpis that are

208:23

instantly useful rather than uh kpis

208:26

that show up on a dashboard and and then

208:28

it takes you two and a half years to

208:30

understand um you know if what what what

208:33

what trends were or or in order to make

208:35

them more useful so so that's another uh

208:37

important rule that i have so let me

208:39

give you an example of a kpi that sort

208:42

of meets all four of these rules and my

208:44

my hope is that as you go about your own

208:46

business you'll apply these rules to the

208:48

kpis that you have

208:52

so to close this video i want to walk

208:54

you through some examples of what i

208:57

think are great kpis

208:58

that are that i think

209:00

have some universal appeal to most

209:03

businesses that exist out there but what

209:05

i also want to do in this part is

209:07

actually

209:08

encourage you to think beyond your

209:10

standard click stream stuff if you've

209:12

seen the other videos or read my blog or

209:15

book or anything that you've read market

209:16

motive i'm sure that you'll know that

209:18

i'm a big fan of use of web analytics

209:22

2.0 concept and this idea of using

209:24

multiple sources and and i think this is

209:26

a big mistake people analysts and

209:28

marketers make on the web where we don't

209:30

use multiple sources to create kpis so

209:33

let's get going and let me exceed some

209:35

ideas in your mind that you can build on

209:37

there

209:41

and of course the first most obvious kpi

209:43

in the world in the universe is

209:45

conversion rate and

209:48

it's highly likely that it is

209:50

relevant for your business and then you

209:51

know

209:53

traditionally what we think of

209:54

conversion rate is you know e-commerce

209:56

did you know what's my conversion rate

209:58

and that's the graph you see on the left

210:00

here it's 1.41 for this website and then

210:04

you know am i making revenue in this

210:06

case 5 000 euros so

210:08

very traditional metric applies

210:09

everywhere so

210:11

you measure conversion rate

210:13

look at the absolute value and it's very

210:15

very useful

210:16

but the other thing i want to tell you

210:18

quickly before we go to the next one is

210:20

think of conversion rate as having many

210:23

many different

210:24

kinds of outcomes that you could measure

210:26

it could be lead submitted it could be

210:30

something that was viewed on your

210:31

website it could be of course e-commerce

210:33

for retailers so think of conversion

210:35

rate more broadly but of course for

210:37

e-commerce websites this is exactly what

210:39

you want to measure

210:43

and the next one is is one that i think

210:45

is a hidden api that i think that many

210:48

people don't measure which is called

210:49

average order value um and this is a

210:53

wonderful wonderful kpi and and in this

210:55

particular e-commerce website you can

210:57

see the average order value is

210:59

345 dollars and this is really a great

211:03

kpi because

211:05

it's great to know that you had 1.41

211:07

conversion rate but you know over time

211:09

measuring average voter value could tell

211:12

you if you're much better able to sell

211:14

uh products and services on your website

211:17

or if you are merchandising and

211:19

upselling and cross-selling and

211:20

promotional efforts that you have are

211:23

having the kind of impact on

211:25

what people end up buying on your

211:27

website so remember you could have a one

211:29

point four two converge percent

211:31

conversion rate for for for months and

211:33

months and your average order value

211:35

could consistently be going down the

211:37

toilet or keep increasing so another

211:39

different way of understanding if as

211:42

with each visitor who places an order on

211:44

your website are you doing a great job

211:46

of upselling cross-selling promotions or

211:49

or helping people find the products and

211:51

services they need so i love this kpi

211:53

average order value because it gives me

211:56

another diagnostic measure for

211:58

effectiveness of my website

212:03

um and then these are two of my favorite

212:06

measures also on the e-commerce realm

212:08

but it could be used for non-e-commerce

212:09

websites as well and they are called

212:11

days and visits to purchase

212:13

i'm sort of on the record as saying that

212:16

most marketers and website experiences

212:19

are created um with this uh the concept

212:21

of one night stands in their mind where

212:24

you know you just come to my website and

212:26

and buy right away in this session and

212:28

it said you know nobody sleeps on the

212:30

first date and that's really not how the

212:32

web works either

212:34

people come to your website explore it

212:36

have the dance you know maybe go out for

212:38

dinner with you and put something to

212:40

your cart and then go away think some

212:42

more play hard to get and maybe on the

212:44

third time they actually buy something

212:47

on your website so

212:48

days and visits to a purchase are great

212:50

kpi because they help you understand

212:53

true customer behavior on your website

212:55

so in this case on this website you'll

212:57

notice about 45

212:59

of the people buy on the first visit but

213:01

then the rest of the people actually buy

213:04

on subsequent visits in fact about four

213:06

percent traffic buys uh after nine to 14

213:09

visits and so this is a great way to

213:11

understand customer behavior on your

213:13

website but then also help you

213:15

understand and segment your data so you

213:17

can understand okay what kinds of people

213:18

do buy in the first place what products

213:20

are they buying and then what are these

213:21

people taking multiple visits to go buy

213:23

what campaigns are driving them

213:26

what products do they buy and and and

213:28

why is it that they buy after many

213:29

visits so it gets you great

213:31

understanding of customer experience but

213:33

more than that helps you evolve beyond

213:35

the one night stand mindset that so many

213:38

marketers unfortunately have on the web

213:40

and these two visits is the corollary of

213:42

that you know you could have 10 visits

213:43

in one day and this sort of frames it up

213:45

as how many days does it take and this

213:47

data is actually for a travel website uh

213:50

actual data for a travel website and and

213:53

there's nothing more toxic you know in

213:54

terms of nuclear decay then airline

213:57

tickets they become expensive with every

213:59

passing minute and yet on this travel

214:01

website

214:02

where that sells airline tickets

214:05

only 60 of the people bought on the same

214:07

day in fact almost 40 percent of the

214:09

people this big block of people at the

214:11

bottom actually bought between eight

214:13

days to 120 days later this is

214:15

astonishing so these people

214:18

made a known choice to pro pay a very

214:21

expensive price for the ticket rather

214:23

than buy it on the same day and save a

214:25

ton of money and it's very important

214:27

that you understand um you know why do

214:30

these people do this and what

214:31

destinations are they going to and and

214:33

can i do something like help these

214:35

people save their itineraries or ping

214:37

them and send them an email reminder

214:39

that the price just went up another 10

214:40

bucks so i can get them to come back

214:42

sooner and buy from me so

214:44

this is a great kpi that gives you a

214:47

peek into the customer's mind and gives

214:49

you ton of actionable insight to improve

214:51

your websites i love love these two

214:53

metrics days and visits to purchase

214:57

and here's a great place where i

214:59

measured this particular metric and in

215:01

this case i segmented by different kinds

215:04

of

215:05

acquisition strategy pay-per-click

215:07

direct as well as affiliates and you'll

215:09

notice that different people behave

215:10

differently so people who come into

215:12

pay-per-click actually take greater a

215:14

lot of them take greater than three

215:15

click three visits to buy while my

215:17

affiliate people who i'd actually

215:19

thought would need a lot more convincing

215:21

to buy in my website 64 of them buy on

215:24

the first visit and this is exactly what

215:25

i meant by the power of this metric to

215:28

give you a great peek into the

215:30

customer's mind and then go back and

215:31

optimize your affiliate marketing

215:33

campaigns in this case actually because

215:35

i did not think the affiliate marketers

215:36

marketing campaigns convert fast my

215:38

landing page did not have actually so

215:40

right away add to cart buttons and

215:41

things and right as soon as i got this

215:44

boom i put a lot of calls to action on

215:46

that um those landing pages so

215:48

excellent action on my website right

215:50

away improvement in conversion rates so

215:52

very good kpi

215:58

and

215:58

two other kpis if your website is not

216:01

e-commerce related is loyalty and

216:03

recency so um for example i'm i use the

216:06

new york times website and let's assume

216:08

for a second it has no ads or the bbc

216:10

website which also has no ads and it's

216:12

pure content website no car e-commerce

216:15

of any sort no lead submissions nothing

216:17

just content and in that case i like

216:19

measuring visitor loyalty which is how

216:22

frequently do people visit our website

216:24

and it's not just measuring average

216:26

visits to in a month and that's really a

216:30

average metric that really lies and does

216:32

not give you good data

216:34

look at the distribution some kpis you

216:36

have to look distributions

216:38

and in this case i would go back to my

216:40

cmo and say look

216:41

39 of the people came once to my website

216:45

even though in this case average visits

216:47

to in a month were just two

216:50

but there were about four another thirty

216:52

forty percent of the traffic right here

216:53

at the very bottom that visited my

216:55

content website between nine and two

216:57

hundred times a month so it's amazing

217:00

this bucket of really loyal people to my

217:03

website and they're coming again and

217:05

again and again every day actually on

217:07

the bc website this is me i go there all

217:09

day long again and again

217:11

being a political junkie um and and you

217:13

can understand these you can you can

217:15

create a goal around this to say month

217:18

over month for our visitor loyalty

217:19

distribution kpi are we getting better

217:22

or worse so in this case actually we got

217:25

slightly

217:26

worse in july because the number of

217:28

people who only visited once uh went up

217:31

from 61

217:32

to 64 so so that's a great way to

217:36

measure success by using metrics like

217:38

visitor loyalty for non-e-commerce

217:40

websites and here's another one called

217:42

visitor recency so let's say you're

217:44

running a social networking application

217:46

where the only purpose of your

217:47

application is so people friend each

217:49

other and send applications and do super

217:51

poke and other annoying things

217:53

nonetheless you you don't have an

217:54

e-commerce model yet

217:56

or any advertising model to speak of how

217:58

do you measure success

218:00

of this particular business what measure

218:02

recency are you actually creating such a

218:04

sticky and engaging websites that people

218:07

come to it every single day they can't

218:08

wait to get to it

218:10

and in this case what the metric and

218:12

data shows is that 66

218:14

of the visitors to this particular

218:16

social networking website actually

218:18

visited it less than zero days ago it's

218:21

phenomenal because

218:22

they can just go back to their

218:24

executives and say look our application

218:26

is still sticky so engaging microsoft

218:28

why don't you give us a 400 million

218:31

dollar investment for one percent stake

218:33

in our company because we are so awesome

218:35

well they can use this metric to do that

218:37

because indeed 66 of the traffic these

218:41

are the people who have nothing better

218:42

to do than send their spend their lives

218:44

super poking other people and sending

218:45

them applications a phenomenally

218:47

actionable kpi for a non-e-commerce

218:50

business that helps you measure the

218:51

health of the business and if they're

218:53

successful in their strategy so really

218:55

wonderful metric

218:59

and the next one i wanted to share with

219:01

you it comes from a survey-based

219:03

mechanism and it's called task

219:05

completion rate and i'm a big fan of

219:07

this metric because on any average

219:09

website you probably have two percent

219:10

conversion rate what is everybody else

219:12

doing how do you measure success of the

219:14

98 of the people who are not converting

219:16

on your website and i really like this

219:18

metric task completion rate and

219:20

essentially it helps you understand get

219:23

beyond the obsession of this thin blue

219:25

line at the very bottom you know that's

219:27

your two percent conversion rate and

219:28

help you understand what's happening

219:30

this big red the 98 of the people and if

219:34

your website has delivered any value to

219:36

them it's a great kpi measured using

219:38

surveys and essentially what it is is

219:40

the answer to the question were you able

219:43

to complete the task on our website

219:46

whatever task you were there for you

219:47

could be there for e-commerce submitting

219:49

lead donating money to our presidential

219:51

candidate

219:52

read the latest news download a bio

219:54

apply for a job look at market motive

219:57

videos

219:59

be convinced of our greatness doesn't

220:01

really matter why you came to the

220:03

website task completion rate gives the

220:05

power of the customers when they leave

220:08

the power to the customer so when they

220:10

leave the website at the end of the

220:12

visit we can show them a short survey

220:13

and say why were you here that helps us

220:16

understand primary purpose and the

220:17

second question is were you able to

220:18

complete your task so in this case if i

220:20

was running this website

220:22

i know that 74 of the people converted

220:26

uh sorry were able to complete their

220:28

task then my job is to figure out what

220:29

the other 26 were doing and why they

220:32

were not able to complete the task so

220:34

this is a great way to measure success

220:36

of every single person who's on your

220:38

website and and i mentioned in my past

220:41

market motive videos that i've teamed up

220:43

with iperceptions to create this survey

220:45

for free that anybody in the world can

220:47

use totally free and on exit when people

220:50

exit your website it shows the survey

220:52

and ask helps you measure task

220:55

completion rate across different primary

220:57

purposes and it's a very very actionable

221:00

metric because rather than you and me

221:02

john and michael and i sitting around

221:04

arguing about what should we fix next on

221:07

the market motive website we can simply

221:09

take the content of this survey the

221:11

answers from our questions when they

221:13

tell us what tasks they're not able to

221:14

complete and use that as an input to

221:17

improve our website so we're not only

221:19

solving for our egos inside the company

221:21

but we're solving for our customers on

221:23

our website so really great way to

221:25

measure task completion rate using this

221:27

free survey and in turn improve

221:30

i'm sorry improving customer

221:32

satisfaction because

221:34

if you were able to complete your task

221:35

your satisfaction in this piece of data

221:37

is 77 but if you were not able to

221:39

complete a task your satisfaction

221:41

dropped dramatically uh and and you can

221:44

help influence and improve that and the

221:46

for q survey will help you understand

221:48

why people are coming

221:50

here are the reasons in the blue and and

221:52

what each of those people's task

221:54

completion rate is so you can identify

221:57

things you should be fixing so in this

221:58

case clearly the people who were not

222:00

able to complete their task

222:03

a bunch of them were there to buy and

222:05

and only 39 were able to complete the

222:07

task which essentially is a crime

222:08

against humanity because this is an

222:10

e-commerce website and everybody should

222:12

be able to buy who's there to buy so

222:14

boom right away you understand why

222:15

conversion rate is

222:18

0.0001 percent

222:20

real actionable insights

222:25

uh and i believe this is the last

222:26

example i wanted to take you out of your

222:30

website and help you understand uh your

222:32

performance in context of your

222:34

competitors and and my last kpi uses

222:37

competitive intelligence in order to

222:39

understand

222:41

your performance and i love this metric

222:43

called share of search

222:44

and it's essentially like what what

222:46

traditional marketers have been using

222:48

and they tend to call it share of shelf

222:50

so when i mean walmart or or you know

222:52

i'm at procter gamble brand manager i

222:54

really want to know what my share of

222:55

shelf is for pantene shampoo in in in

222:59

walmart and target and all these other

223:00

kinds of stores well why not create such

223:02

a metric for the ultimate shelf in the

223:05

world which is a search engine

223:06

essentially google microsoft yahoo that

223:09

dominate acquisition strategies for most

223:12

websites and to how much a share of that

223:15

shelf do i have when people are looking

223:17

for me and you can use competitive

223:19

intelligence tools to understand that so

223:21

in this case i can say okay what are the

223:23

top key websites that send me traffic

223:26

how much share do i have of search

223:29

traffic

223:31

so for singular from google yahoo

223:33

microsoft all these other engines and in

223:35

the case of singular it's nine point

223:37

three three percent uh traffic they have

223:40

share of traffic from google while

223:42

verizon it's actually ten point six

223:44

percent uh from google so verizon gets a

223:47

lot more traffic from google than does

223:50

singular so in this context singular you

223:52

know would cry a little bit because uh

223:55

every percent of difference here on this

223:57

report is hundreds and thousands of

224:00

searchers so really

224:02

a singular can get can create this kpi

224:04

and track it not only track it as a

224:06

point in time which is what you're

224:08

seeing on your screen but actually

224:10

measure trends over time to and in this

224:12

case you'll notice verizon is the blue

224:14

line and singular is the orange line and

224:18

for some reason singular has been on the

224:20

right path over months and months so

224:22

their nine percent traffic from google

224:24

is great because they keep increasing

224:26

over time um while if you look at

224:30

verizon

224:31

they have started to make big mistakes

224:33

and started to literally drop off the

224:35

radar in this case for the last few

224:37

months a very very troubling development

224:39

if i was verizon and if i was singular

224:42

this kpi share of search would

224:44

immediately get me a big bonus uh from

224:46

my boss so this is a great way to

224:48

measure success by using a metric that's

224:51

available externally and and as we give

224:54

you another example of google insights

224:55

for search i wanted to see how much

224:58

brand impact i'm having how much share

225:01

of searches uh top of mind i am in terms

225:04

of my customers

225:05

when i look for laptops so um i said you

225:07

know i like thinkpads a lot i have an

225:09

x61 which i'm very very fond of

225:11

and i wanted to know if thinkpad is do

225:14

how thinkpad the brand is doing over the

225:16

last few years compares to latitude

225:18

which is the brand of dell macbook air

225:20

which is the brand of apple of course

225:22

and vaio which is the brand of sony and

225:25

and try to use this kpi which is the the

225:28

search the number of queries at a search

225:30

engine to measure if my brand dollars

225:33

being spent online and offline are

225:35

causing people to look for my laptop my

225:38

brand of laptop and unfortunately what

225:41

it turns out is both dell and

225:43

thinkpad have been going um down

225:47

over time and that's precipitously in

225:49

some case and that's sort of very very

225:51

sad and what it shows is um

225:55

macbook air when it's launched boom ton

225:57

of people ton of interest

225:59

totally beat the heck out of both uh

226:02

latitude and thinkpad and yet now uh

226:04

it's sort of uh mr steve jobs is coming

226:06

down to earth a little bit more uh over

226:08

the last few months but but notice the

226:10

green line that's the sony vaio and and

226:14

then they've done a marvelous job of

226:16

having a nice upward slope over the last

226:19

four years and consistently doing the

226:21

kinds of things that are required to

226:23

stay top of mind in customers and and

226:26

have lots and lots of search queries be

226:28

generated and create demand for their

226:30

products so again a great kpi if i were

226:33

sony uh wires brand manager to show

226:36

value that my ad dollars are creating uh

226:40

in the general ecosystem while everybody

226:42

else is going down i am going up so

226:45

another wonderful kpi um that you can

226:48

create from competitive intelligence

226:50

data why do you need to do web analytics

226:53

if you're doing anything on the web for

226:54

the longest amount of time we have made

226:56

very

226:58

faith-based decisions when it comes to

227:00

our marketing our customer service our

227:02

are

227:03

advertising and other kinds of

227:05

activities that companies do and a lot

227:07

of it was dictated by the fact that we

227:09

didn't actually have access to a lot of

227:11

data

227:12

it was or it was very difficult to get

227:14

data but one of the coolest things about

227:15

the web is that you actually have access

227:18

to near infinite amounts of data

227:21

usually not for a lot and

227:23

so one of the reasons that you want to

227:25

use web analytics for is that

227:28

the simple act of of adding a tag to

227:30

your website allows you to have access

227:33

to an enormous amount of consumer

227:34

behavior when it comes to your digital

227:36

existence that means that you get a

227:40

really deep understanding of what is

227:42

working what is not working what do

227:44

consumers like what don't they like

227:46

where do they come from where do they

227:47

not come from and other kinds of things

227:50

and it allows your company to make very

227:51

smart decisions for example if somebody

227:54

walks into a chevy dealership

227:56

here in santa cruz you probably have

227:59

very little idea about what caused that

228:00

person to come to the chevy dealership

228:02

but if somebody lands on chevy.com on

228:05

the other hand

228:06

they bring with them a lot of trace of

228:08

what caused them to come and engage with

228:10

you

228:11

for example they might have searched on

228:13

google for a particular keyword and now

228:14

you have access to that insight or they

228:16

might have come in response to

228:18

television commercial that you ran and

228:20

visit your website and you have access

228:21

to that so a lot of this is

228:24

a really great way to understand

228:26

effectiveness of how you spend your

228:28

money which in turn helps you

228:31

do very smart things when it comes to

228:32

your consumers

228:34

not only that but it also opens the mind

228:36

of your organization much wider maybe

228:38

you believe that the only thing you can

228:40

do on the chevy website is give

228:41

information that drives people to the

228:43

dealer but in reality people who will

228:45

engage with you online are going to be

228:47

there not only to

228:49

go figure out where the nearest dealer

228:50

is but they could be existing customers

228:52

looking for help or it could be car

228:54

enthusiasts who want to customize their

228:56

cars and trick them out is play around

228:59

um for and configure a car they might

229:01

want to buy six nine months from now or

229:03

they might just be people who want to

229:06

understand a lot more about chevrolet's

229:08

philanthropic efforts and at the moment

229:11

all of these things are very difficult

229:13

to be met in an offline world but with

229:14

online you can and that's where web

229:16

analytics plays a really key role

229:19

helping you understand why people come

229:21

to your website once they are there what

229:23

is it that they do and at the end of it

229:25

do they leave happy and did you make

229:27

money both of those questions get

229:29

answered very quickly

229:31

so now that you're very excited about

229:33

web analytics let me formally define

229:35

what web analytics actually is and in my

229:38

books the way that i have defined web

229:40

analytics is it's the analysis of

229:42

qualitative and quantitative data about

229:45

your website and your competition to

229:47

drive continuous improvement about your

229:50

digital presence your customer needs and

229:53

prospects which translates into great

229:55

and fabulous desired outcomes both

229:58

online and offline for your business

230:01

that's more of a formal definition of

230:03

web analytics and let me let me sort of

230:05

cover a couple of these pieces that are

230:08

really really important and the very

230:10

first one is very often web analytics is

230:12

mistakenly believed to be just the art

230:15

of logging into google analytics or

230:17

adobe web trends or ibm and analyzing

230:20

all the quantitative data you have

230:22

related to the clicks

230:23

and that is indeed a big component of

230:26

what analytics is all about but it's

230:28

also about answering the question about

230:30

why people do what they do and that's

230:32

where sort of qualitative analysis

230:34

around surveys and usability tests and

230:37

those things come into equation one of

230:39

the cool things about the web is not

230:40

only can you analyze your own

230:42

performance we can actually analyze how

230:44

your competitors are doing which is very

230:46

very cool

230:47

there are paid tools that you can use

230:49

there are

230:50

free tools you can use but if you're

230:52

competing with somebody on the web you

230:54

can actually go get their data and you

230:55

can go understand how they are

230:57

successful or not and learn lessons from

230:59

what they are doing and go figure out

231:01

how to change your strategy in turn

231:04

it's also very important to understand

231:06

that

231:07

you can serve the needs of people who

231:08

want to buy from you right away or

231:10

donate money from you right away but

231:12

also people who are in the process of

231:14

just considering and that's the

231:15

difference between kind of people are

231:17

very close to becoming customers versus

231:19

people who are going to be prospects

231:21

it's going to take them a while to get

231:22

converted

231:23

and the last thing of course is all

231:25

about understanding that web analytics

231:28

does not simply affect what you do on

231:30

the web on mobile phones tablets or

231:32

desktop and laptops but actually what

231:35

happens to your offline existence if you

231:37

have a call center that will be

231:39

including web analytics if you have an

231:41

actual supermarket store or dealership

231:44

those things would be included so web

231:45

analytics at it at its holistic level is

231:49

the art and science of qualitative

231:51

quantitative analysis of your data and

231:54

your competition's data in order to

231:56

drive improvements to the consumer

231:58

experience online and to drive business

232:00

outcomes online and offline and that's

232:03

what makes it so very exciting in this

232:07

particular video i want to cover the the

232:09

incredible opportunity that exists in

232:12

using data online in solving key

232:15

business problems

232:17

as well as outlined for you some of the

232:18

more specific things that you can do

232:20

once you do start using web analytics

232:23

and sort of aspirationally all of the

232:25

other more wonderful things that are

232:27

over the horizon that you'll be able to

232:29

take advantage of once you start

232:31

creating a truly data-driven business

232:34

now why would you want to do web

232:36

analytics a lot of people ask me this

232:38

question and honestly it surprises me

232:40

because

232:41

if you're not

232:42

wanting deeply profoundly desiring to be

232:45

data-driven

232:47

then

232:48

really there is no honest way to survive

232:50

in the world that we live in today as

232:53

all different channels come together and

232:56

online continues to dominate growth for

232:59

companies and growth for non-profits as

233:02

a matter of fact but let me crystallize

233:04

why you should invest in web analytics

233:07

in a very simple way when you take out

233:09

an ad in a magazine and try and measure

233:12

its success in this case an ad for chevy

233:14

malibu all of the measures for success

233:17

are interpretive or proxy driven for

233:19

example you take out an ad in the time

233:22

magazine and the best proxy you have for

233:24

measuring success is the number of

233:26

subscribers the magazine has you have

233:28

absolutely no idea how many people might

233:30

have opened the magazine how many people

233:32

might have bothered to even see a

233:34

gorgeous little ad

233:36

and and much less you would know how

233:38

many people then went to a dealership

233:40

and might have purchased the product

233:42

that you're selling in this magazine ad

233:45

but if you think about it when you take

233:46

out that exact same ad in this case on

233:49

google

233:50

or yahoo or microsoft or aol or or any

233:54

other property in the world the ad that

233:57

shows up right here at the very top it

233:59

does not require you to use your faith

234:02

to measure success you can use data to

234:05

measure success because you can measure

234:07

exactly how many people saw the ad you

234:10

can measure how many people clicked on

234:11

the ad how many people interacted with

234:13

the ad and finally if people do come to

234:16

your website as a result of this ad

234:18

you're able to measure how many people

234:21

customize a car set up a appointment at

234:24

the dealership downloaded a brochure and

234:26

and all of the outcomes that are

234:28

available for that single ad that you

234:31

took so the measurement of success

234:34

rather than being interpretive and proxy

234:36

driven is direct

234:38

it is specific and it is scalable and i

234:41

cannot think of a better more powerful

234:44

and profound reason for you to use web

234:46

analytics than that it moves you away

234:49

from making business decision based on

234:52

faith and what you believe in to

234:54

shifting to using data and bringing a

234:57

massive amount of accountability to the

235:00

processes that you're executing for your

235:02

business

235:05

it behooves us to cover the definition

235:07

of web analytics so when we when we say

235:09

web analytics what do you mean and in

235:12

writing my second book i had created

235:14

this definition and the definition quite

235:16

simply says web analytics is the

235:19

analysis of qualitative and quantitative

235:21

data for your website and the

235:23

competition to drive continual

235:25

improvement of the online experience of

235:27

your customers and prospects which

235:29

translates into desired outcomes online

235:33

and offline and let me just highlight a

235:34

couple of different things in this

235:36

definition now the very first thing

235:39

that is important for all of us to

235:41

realize is that we're talking about

235:43

qualitative as well as quantitative data

235:46

most of the time when people think about

235:48

web analytics they think about all the

235:50

clicks that we collect on the website

235:51

and while that continues to be one of

235:53

the largest sources of data we analyze

235:56

web analytics is also surveys and lab

235:59

usability testing and follow me homes

236:01

and

236:02

the various other methodologies we can

236:05

use to understand why people behave the

236:08

way they do on our website it also

236:10

includes analyzing your competition one

236:12

of the most amazing things about the web

236:14

is how much data you have access to for

236:17

all of your competition

236:19

for any given website in the world you

236:21

can use tools like compete and transfer

236:24

websites and others to try and

236:26

understand how many people went to my

236:27

competitors website how long did they

236:29

stay and what did they do so that you

236:32

can learn from the analysis of data for

236:34

for your competitor and improve your

236:37

business also it's about improving

236:39

things every single day not opening

236:42

tools once in a while and and trying to

236:45

see if you can find something to change

236:46

but actually improving things every

236:49

single day in small bits and we're going

236:51

to cover this in this video

236:54

and finally it's about both online and

236:56

offline while the name web the word web

236:59

exists in the name web analytics web

237:02

analytics is very much about

237:04

understanding the offline impact of all

237:07

of the online activities that you do on

237:10

your store on the phone center on on

237:13

sort of other existence you have like a

237:16

call center you might have offline but

237:18

it also means that web analytics is

237:20

great at understanding the online impact

237:24

of your offline activities such as

237:26

television campaigns and radio and

237:28

magazine ads and etc etc so it's

237:31

important to realize that web analytics

237:33

is not simply about analyzing the clicks

237:36

on of people who come to your website

237:38

but it's a much more expansive view of

237:40

qualitative and quantitative competitive

237:43

data in order to improve your online

237:46

existence

237:49

some people also think that it's really

237:51

really hard to get going and i think

237:53

this is one of the biggest biggest

237:56

wrong beliefs that people have if i want

237:58

to start by tracking a website in this

238:01

case let's say my blog arkham's razor

238:03

all i have to do is go to a web

238:05

analytics tool i could start with a free

238:08

tool called google analytics or a free

238:10

tool called yahoo's web analytics both

238:12

really wonderful tools i would simply

238:14

open an account i would copy this code

238:18

from this website from the google

238:19

analytics or yahoo analytics website

238:21

literally i copy this few lines of code

238:24

i go back to my website i open the

238:27

footer file of my website as you can see

238:29

clearly it's in this case i'm using a

238:31

php driven websites photo.php i paste

238:34

the code into this file that i have on

238:37

my website there you go now you can see

238:39

those exact lines of code pasted into

238:42

this into this file

238:44

and boom i sing happy birthday

238:47

right

238:48

75

238:49

of the data that you will need in order

238:51

to make decisions using clickstream

238:53

tools can be gotten just by doing these

238:56

three simple steps on your website and

238:59

any gorgeous data flows in and you might

239:01

perhaps be thinking well what can i get

239:03

for a few lines of code right just a few

239:05

reports

239:06

no that's the surprise here are all of

239:10

the reports that you can get from this

239:11

particular tool

239:13

uh google analytics in this case and and

239:15

i'm gonna hide with with little bit

239:17

transparently white all the data you

239:19

won't get if you do what i just said and

239:22

notice the massive amounts of data you

239:25

can get about visits and locations and

239:28

languages and mobile traffic and page

239:30

views and sources and keywords and

239:32

search engines girls and everything you

239:35

can get

239:38

so i hope that i've answered the

239:39

question

239:40

web

239:42

analytics and why right web first

239:45

analytics second why third you want to

239:47

do web analytics because it increases

239:50

accountability for the efforts you're

239:52

going to put on the web you want to do

239:54

web analytics because it lowers risk and

239:56

enables you to fail faster than anybody

239:59

else so that you win

240:01

at a greater magnitude than was ever

240:04

possible

240:05

and you should do web analytics because

240:07

it is one of the most powerful business

240:09

drivers that will lead to a long-term

240:12

success for your business i have yet to

240:14

meet a single business that is going to

240:17

win on the web without having a

240:19

well-defined web analytics process and

240:22

strategy and with that we have come to

240:24

the end of this video on web analytics

240:26

full course i hope it was informative

240:29

and interesting if you have any

240:31

questions about the topics covered in

240:32

this video please ask away in the

240:34

comment section below our team will help

240:37

you solve your queries thanks for

240:39

watching stay safe and keep learning

240:45

hi there if you like this video

240:47

subscribe to the simply learn youtube

240:49

channel and click here to watch similar

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