AI, Ads & Apps 

A little-known Florida based app studio is making ~$100M a year.

With 11 apps pulling $100K+ per month each, they are the best in the game.

Here’s how they cracked the App Store growth code: 🧵👇

(1/15) 

AIBY has 47 active apps on App Store now.

Their 2 top apps “ChatOn AI - Chat Bot Assistant” , a ChatGPT wrapper and  InPulse - Heart Rate Monitor brings in more than half of the revenue.

(2/15) 

Most of the app studios we analyzed have only 4-5 apps surpassing $100K in revenue. However, AIBY stands out with 11.

Achieving this level of success across multiple non-gaming apps in different niches is almost unheard of.

(3/15)

Moving on to ASO. 

Their ChatGPT wrapper chatbot “ChatOn AI - Chat Bot Assistant”  is ranked #2 for "ChatGPT"  -  one of the most competitive and high-traffic keywords on the App Store.

This ranking alone delivers hundreds of thousands of downloads every month. 🚀

(4/15)

ChatOn app strategically include words like AI, Chat, Chatbot & Assistant in their name.

Not only this, AIBY also ranks in top 3 positions for 1000+ relevant keywords for most of their apps.

You can use a tool like @TryAstroApp  from @matteo_spada to find which keywords these apps are ranking for.

(5/15)

If you are going to study about this app studio, you should spend time understanding how they get this insane number of ratings.

They have 5 apps with 100K+ ratings. (Themify, Fonts Art , InPulse , Plantum , ChatOn AI)

(6/15) 

We have gone through the app onboarding process for a few of these apps to understand whether they ask for any rating in the onboarding phase. 

For Themify, they ask for rating in the onboarding phase itself. Themify has  294K ratings.

(7/15) 

Onboarding process is almost similar in all the apps. First screen shows the credibility part by showing the number of ratings and reviews. 

Then a soft paywall followed by onboarding instructions.

(8/15) 

They have a strong network effect on App Store now.

App store algorithm uses keywords to determine which apps are relevant for a search, but it sorts them in order of how many new ratings the apps have received in the last few days.

That's right. Ratings. Not reviews.

(9/15)

New Ratings every day leads to ranking top for keywords -&gt; This ranking drives more downloads -&gt; Increase in downloads leads to increase in ratings

App Store ranking is heavily influenced by downloads and ratings.

(10/15)

They are masters at paid ads as well.

Currently they run ~4K ads on Google, 2k+ ads on Tiktok.

Their Calorie counter app alone runs ~100 ads on FB now.

(11/15) 

They run ads like these.

They seems to be repeating the same ads on Tiktok and FB.

(12/15) 

If you want to know their target audience, check for “EU Transparency” label in the ad.  

Platforms like FB/TikTok are required to disclose ad targeting in the EU.

This gives you a clear picture of who they’re targeting  (Age, Gender, Location).

(13/15) 

You can see that they are dominant in Paid Ads+Ratings+ASO.

If you want to learn more about them, study everything about their latest apps - Vigen &amp; OnFork - launched just 3 months ago.

They likely apply best practices from their top-performing apps to grow these apps.

(14/15) 

If you are planning to compete with them in any of their app categories , it is better to start from Tiktok or any other social media and get app downloads. 

Start asking for review in onboarding phase itself and add the best rating mechanism to your app. 

Focus on ASO then. Now armed with Rating, ASO and a strong Tiktok play, you would be able to compete with them fairly.

(15/15)

If you found it valuable:

👉 Follow me @AIAdsApps for more threads on app growth and strategy.

♻ Retweet the first tweet to share it with others.

https://x.com/AIAdsApps/status/1908191293072716042

Most people waste months trying to ‘figure it out’ themselves. 

The top AI startups follow proven growth hacks. 

I’ve compiled them into a playbook so you can skip the mistakes:

https://gum.co/u/3ehaimiw

$11M in monthly revenue. 

Flo looks like a simple period tracking app - but under the hood, it’s running one of the most aggressive ad machines across every channel imaginable. 

Here’s how it really works: 🧵👇

(1/6)

The onboarding is insanely long.

🔐 Mandatory privacy acceptance
🩸 Deep cycle &amp; body questions
❤️ Health app linking
👩 Doctor endorsements everywhere 

By the time you reach the product, you’ve already invested effort.

Walking away now feels wasteful.

Then comes the soft paywall.

❌ Close it → 30% discount appears
🏠 Home screen still shows value (tracking, insights, secret chats)
⏰ Subscription reminders quietly return over time

No pressure spike.

Just controlled nudges.

Their major growth driver is Paid ads. 

They are running insane number of ads on all the platforms. 

📺 Google  ~3,000 ads
📘 Facebook  ~140 ads
📱ASA ~ 15K bidding keywords

For fun, I recreated the hook of the above video using Arcads for an imaginary app "Thou".

Took me just 5 mins.

Here’s what I got 👇

When a company floods all the platforms like this, they’re not testing - they’re printing money.

Let’s say they spend $1 on ads. They may make $1.20 back from subscriptions. (Note: Takes thousands of ad tests to get here.)

Add renewals as well.

(5/6)

Want to know who they’re targeting?

Check the EU Transparency label on Meta/TikTok ads.

It shows:

📍 Location
👤 Age
🧑 Gender

It’s the fastest way to reverse-engineer their ideal customer.

(6/6)

I’ve spent months studying how iOS apps hit $100K+/mo.

The pattern?   Smart organic growth tactics - no ad spend.

I pulled the best into a list of 25 proven growth tactics you can copy. (55 Page Doc)

Get it right now.