The bottom line
Cal AI turns viral social videos into downloads, then converts them with an onboarding that mixes questions, social proof and commitment before a trial paywall. A simpler paywall, a weekly plan and a free first scan could earn more from the same traffic.
Key takeaways
- Viral social videos are the top of the funnel that drives the downloads. 1:15
- The app launched in April 2024 and has about 300,000 downloads, and its makers run Viral Development LLC, which knows how to go viral.
- Similarweb shows Reddit, YouTube and Twitter as social sources sending people to the App Store link.
- The onboarding alternates questions with social proof so users keep going. 4:30
- The social proof screens give users a break from answering questions and start building trust.
- The "what's stopping you" question shows objections that ads can answer later, such as lack of consistency.
- The flow asks for a rating, notifications and a referral code at moments when users feel good. 5:42
- The referral code step suits apps that use influencers or affiliates, and MacroFactor does the same.
- Apple may skip the rating prompt if the app asks too soon, which is normal now.
- The paywall would convert better if the screen before it dropped the price and said "7 days on us". 7:11
- The pricing on that screen made the speaker think the paywall had already arrived.
- On the paywall itself, videos outperform photos and photos outperform graphics, and before and afters work well.
- A weekly plan with no trial next to a yearly plan with a trial could earn more. 8:17
- Someone who downloads a calorie tracker is ready to use it, so they may not need a trial.
- For the hard paywall, offer a free first scan and send a push five minutes after they close it. Then show the paywall again with no trial.
Anytime you can make the user feel like they got to win, use that casino mentality.
Steve P. Young, App Masters
Chapter summaries
0:00 Reading Cal AI's traffic with free tools
Free analytics tools give a rough but useful picture of where an app's traffic comes from.
- Similarweb gives a rough read on an app's traffic. 1:26
- Pasting the App Store link in as a website shows visits to compare with Sensor Tower's downloads.
- Sensor Tower puts revenue above $800,000.
- The visit count may run a little lower than the download figure.
- The free version is enough, and it only gives a general sense of the channels.
- Day and country data show where to spend. 2:05
- Mondays do best and Sundays worst.
- The top countries are the US, Brazil, then Japan.
- Meta ads let you set spend by day: lower it on Friday, ramp up from Sunday night.
- The same method works on bigger brands' web campaigns. 3:07
- Another company's site, spotted on LinkedIn, gets its traffic mainly from YouTube.
- LinkedIn is its second source.
- Big brands push people to their own site, where they control more than in the App Store.
3:44 The first onboarding screens
The opening screens are plain, but they hide one gap and set up a commitment.
- The "where did you hear about us" list leaves out the App Store. 4:00
- Early screens ask gender and workouts per week.
- The options are Facebook, Instagram, TikTok, YouTube and Google.
- Apps that copy this flow should add the App Store, since they likely rely more on ASO.
- Goal questions lead to a commitment step. 4:48
- Height, weight, birth date and main goal come first.
- Losing six lbs is a realistic target.
- A "90%" social proof screen follows the goal.
- Asking how fast you want to go makes users commit. Duolingo uses the same trick and it works.
5:29 The last onboarding steps build to a win
The final screens target users by diet, then reward them so the plan feels earned.
- The closing questions and visuals let users feel they won before the paywall. 5:37
- The diet question lets the app target users by the way they eat.
- Falling chips and money, like a jackpot, lead into the goal and recommendation screens.
- The testimonials sit beside the line made for people like you, with thousands of people shown.
- The referral code step is easy to skip, and the app makes that plain.
6:58 Fixing the paywall and the free scan
The paywall should bring new proof, and a hard paywall can still give one free scan.
- The paywall should show new proof instead of repeating itself. 7:52
- The user already saw the trial message, so testimonials and before and afters fit better.
- The reminder in three days is fine as it is.
- A rival app's try for free button reads as less intimidating than a price-led one.
- That app pushes only its annual plan.
- A free first scan can win back users who leave a hard paywall. 9:24
- Zero sends a push five minutes after the paywall closes, saying your first snap is on us.
- The free snap is all they get.
- If they X out, show the paywall again after the photo, with no trial.
- The speaker says this has worked for other clients.
In the growth library
Steve P. Young, Founder of App Masters, app growth agency. A teardown of the Cal AI calorie tracker's onboarding flow and paywall, with specific changes to test and free tools for estimating how a competitor gets traffic. It matters because the app reportedly makes over $800K a month (per Sensor Tower) from about 300,000 downloads less than a year after launching in April 2024, driven by viral social videos.
Lessons that draw on this:
- How to run free trials and free tastes
- How to price annual and monthly plans
- How to design a paywall that converts
- How to ask and use onboarding questions
- How to structure onboarding as a story
- How to structure and scale Meta campaigns
- How to find and copy viral formats
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