TRANSCRIPTIONEnglish

Our No-Code Apps Made $50M Using THIS Paywall

43m 5s8,137 mots1,136 segmentsEnglish

TRANSCRIPTION COMPLÈTE

0:00

Today we're sitting down with Vah

0:01

Bagdasarian, a man who has run over

0:03

10,000 payw wall experiments and helped

0:05

apps add over $50 million in revenue.

0:08

He's been behind the scenes on dozens of

0:09

apps including Calai, Quitter, and

0:12

Claim. And he knows all the common

0:14

mistakes founders usually make with payw

0:15

walls. But the biggest mistake that

0:17

keeps most apps revenue stuck comes from

0:19

a common but surprising oversight. You

0:21

see, his superpower is to look at an app

0:23

that seems healthy and then tell you

0:25

exactly how much money they're leaving

0:27

on the table. There are many examples of

0:29

apps that are operating with like 811%

0:32

trust star rate and they're healthy but

0:35

then they're missing out a lot of stuff

0:36

that 81% easy in like 90% cases if you

0:41

have 81%

0:42

it can easily become like a that number

0:45

he was about to say is the difference

0:46

between a good app and a great one. Vi's

0:48

entire business is built on the idea

0:50

that you can increase your revenue by

0:52

$100,000 in a few months without

0:54

spending a single extra dollar on user

0:56

acquisition. He's challenging what most

0:58

people know about building a profitable

1:00

app. At the end of the day, your goal

1:01

shouldn't be just to get more users. We

1:04

all love viral growth hacks, but you

1:06

also need to fix the leaks [music] in

1:07

your existing system. And he has some

1:09

examples that kind of surprised me. We

1:11

started to work together in April. They

1:14

had like a 1.1%

1:17

install to paid rate. So basically from

1:19

April to September, we got it from 1.1%

1:22

to close to [music] 4%. In this episode,

1:23

Vah breaks down his entire playbook for

1:26

turning a leaky payw wall into a

1:28

predictable revenue machine. We go deep

1:30

into the mechanics of multi-step payw

1:32

walls, highest leverage placements, and

1:34

advanced tactics that can squeeze max

1:36

[music] value from the app that you've

1:37

already built. And he reveals the exact

1:39

psychological tricks he uses to maximize

1:42

conversions on a single screen. To

1:43

maximize the impact of your transaction

1:45

abandonment payable, offer a free trial,

1:48

but let users to decide if they want to

1:50

buy without free trial or without a free

1:52

trial. [music]

1:53

If they buy with a free trial, make the

1:55

price more expensive. If they buy

1:57

without a trial, make it a bit cheaper.

2:00

For example, if they were to buy with a

2:01

trial, make the discount offer like 80%,

2:04

and if they were to buy without a trial,

2:06

make the offer 90%. If you're an app

2:08

founder Focus on Growth, this is the

2:10

episode that will change how you think

2:11

about monetization forever. This is the

2:13

Superall podcast and I'm Joseph Choy,

2:15

founder of Consumer Club. The members in

2:17

the Consumer Club Discord and the

2:18

founders I interview on the pod build

2:20

apps at a median of about a million

2:22

dollars ARR. In my conversations with

2:24

dozens of these founders every week, one

2:26

thing I've noticed is most of them AB

2:28

test their pay walls to increase their

2:30

conversion rates and make more money.

2:31

Now, most people know that one of the

2:32

best ways to AB test payw walls is

2:34

Superwall. But one thing you might not

2:36

know is Superwwell has a lot of data on

2:39

the thousands of apps that use their

2:40

payw walls. So recently they actually

2:42

put together a tool that takes 422

2:45

profitable paywall experiments and put

2:47

those into a paywall experiment

2:49

generator where you can upload a

2:50

screenshot of your own payw wall and

2:52

it'll give you an experiment idea to

2:54

increase your revenue. You can use it

2:55

for free at paywallexperiments.com.

2:58

All right, let's get into the pod.

2:59

People are interested in growth

3:00

strategies on this channel and we talk

3:03

about a lot of growth hacks and viral

3:06

Tik Toks and stuff, but behind a lot of

3:08

these viral Tik Toks is the payw wall.

3:11

And like a lot of, you know, big app

3:13

founders have said that 80% of the

3:16

effort that you put into building your

3:18

app should go to onboarding and payw

3:20

wall because that's where the revenue

3:21

actually comes from.

3:22

>> And you've designed the pay walls for a

3:24

lot of these big apps. Can you zoom out

3:26

and kind of show us at a high level

3:28

before we go into each one what are some

3:29

of the apps that you've designed payw

3:31

walls for? We work with a very big apps

3:34

and companies like resume kaii claim

3:37

revival twitter and many many more. And

3:41

for today, I just decided to

3:45

take some of the best practices and the

3:47

best pay walls we ever created for some

3:50

of these apps and then show you and

3:52

explain why these pay walls are the best

3:55

converting payw walls and what was the

3:57

thought process and the strategy behind

3:59

all of these pay walls that we designed

4:01

for this app.

4:02

>> I'm curious, what's one thing most app

4:04

founders today you're seeing are getting

4:06

wrong with their payw walls? Well, I

4:08

think the biggest thing that I'm

4:09

noticing is that kind of u take one

4:13

concept they see their competitors are

4:15

using, not even competitors, but other

4:17

apps are using and they copy the pay

4:19

wall and it doesn't work for them or it

4:21

works for a certain to the certain point

4:23

and then they don't try to improve it.

4:25

Like I speak with a lot of founders like

4:27

oh my friend has this pay wall it

4:29

crashes it. We copy the payroll that

4:31

their friend have test it and it fails

4:34

like happens like many many times every

4:36

week. What's a good benchmark these days

4:38

for good payw wall conversion rates? And

4:41

I know there's a few different types of

4:43

conversion rates that are kind of in the

4:45

payw wall space.

4:46

>> I think it really depends on the

4:48

industry, etc., etc., but like if we

4:51

talk about trial star rate, I think

4:54

everything above 15% is good. If you

4:56

have below 15% trial star rate, you have

4:59

a lot of work to do. Trial to paid

5:01

conversion rate, everything above like a

5:03

30% is good. If it's below 30% again you

5:06

have a lot of work to do. That being

5:08

said there are many examples of apps

5:11

they're operating with like 81% trust

5:14

rate with and they're healthy but then

5:16

they're missing out a lot of stuff that

5:19

8 11% easy in like 90% cases if you have

5:23

81%

5:24

it can easily become like a 15%.

5:27

>> Those two metrics are both for free

5:29

trials model. So do you also have any uh

5:33

benchmarks for nontrial

5:36

>> apps?

5:37

>> Ideally if you have a lot of users

5:39

coming from the US if you have like a

5:42

10% and above installed to paid rate

5:45

that's really good. If you have anything

5:47

less than 4% that's not good. There is a

5:50

lot of work we can do. Like between like

5:52

four to 10% it's kind of you are not

5:55

terrible but you're not great right? you

5:57

know and if it's like less than 4% then

6:00

you got to you have problem most

6:02

probably we got to work to improve that

6:04

>> you've seen a lot of apps increase

6:06

revenue 100k in 3 months without getting

6:10

any new users like just payw wall

6:12

experiments which a lot of people is

6:15

counterintuitive like most people think

6:17

about growth as I need to do better ads

6:19

or I need to do more organic Tik Toks go

6:22

viral but if you just fix the conversion

6:25

rate on your payw walls then that's also

6:28

revenue growth. So

6:29

>> yeah,

6:29

>> um curious like what's the best before

6:32

and after you've seen in terms of uh

6:35

fixing up pay walls and increasing

6:37

revenue?

6:37

>> We work with this app. It's an enter in

6:40

entertainment category. They have steady

6:43

not steady but like the very stable user

6:46

growth. They're adding like couple

6:49

probably like a 40 50,000 installs per

6:51

month. That's like organically. That's

6:53

the kind of the average. We started to

6:55

work together in April. They had like a

6:58

1.1%

7:01

install to paid rate. We got it up to 4%

7:05

in September. So basically from April to

7:08

September, we got it from 1.1% to close

7:11

to 4%. And they didn't get new users

7:14

coming. They didn't invest any paid way.

7:15

They were they were having the same kind

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