Built With Science · B2C · science-based fitness coaching app
Spend a year fixing trial-to-paid and retention before buying any ads
Founder says it lifted the floor for every channel; paid traffic later converted at 25%
What they did
What happened
- Stage
- post-launch, pre-paid
- Effort
- One full year of product work
In their words
Scaling Meta Ads from zero to $100K a month — Ethan Ethier, Built With Science
David Barnard… And it's a really good perspective too for anyone pitching influencers to really understand and internalize that as the influencer you think is just sitting around or should be really excited about. It's like even an influencer where it's their own app, you have to make really hard decisions about how to prioritize time. So as I mentioned, you started from nothing in scaled up Meta this year. Why Meta? Talk me through that whole process too.
Ethan EthierYeah, so we actually launched the app in early January 2025, and we didn't launch any Meta ads until this year in January. And the reason for that year gap was mainly because we wanted to double down on improving the product. We got a lot of feedback from our launch, and we know from just looking at some of the numbers that as long as we're constantly improving our trial to paid and retention, that lifts the floor for everything else.
Ethan EthierAnd considering that organic traffic is already converting at a healthy rate, we know that any paid traffic that we send will be much lower. So we wanted to improve the floor for all traffic coming in. So we spent that full year just putting our heads down, improving the product. And once we felt like the numbers were right in terms of a trial to paid, our retention and our churn, then we slowly started investing into these additional acquisition channels.
David BarnardSo I love that perspective, that product really is key. And so many people think if I can just scale up on Meta, if I just had $100,000 a month to blow on ads, of course I could be as successful. But the reality is it still really comes down to people actually believing in the product, people using the product, people staying retained to the product. That's how you build a great business. So how do you think about that part of the product versus …
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More from this episode
- Hype the app launch to your YouTube viewers, course members and email listA launch spike, then a steady trickle; not a growth engine on its own
- Mention the app softly mid-video, and tell user transformation storiesStory videos bring more trials than broad educational ones; old videos give steady monthly trials
- Hire clippers to post long-video clips on Reels and TikTok, then reuse winning hooksSome clips go viral; their hooks now shape new long videos
- Scale Meta ads without the famous founder: B-roll, testimonials and AI image adsScaled from zero to ~$100K/month (host figure); 25% trial-to-paid
- Spend the first month of ads just learning your paid trial-to-paid rateTook about a month to get a baseline to set the allowed cost per customer
- Judge ads by how many trials pay, not by how cheap the trials areClickbait ads brought cheap trials but a huge drop in trial-to-paid
- Build a dashboard that confirms which trials came from Meta, and send Meta your best users
- Send ad clicks to a long personal quiz on your website, not the App StoreQuiz beat direct-to-store; now gets ~90% of traffic; same quiz in the iOS app did worse
- Sell the app as a trainer in your pocket, not a tracker, at $189 a yearKept $189/year since launch; 35-40% organic and ~25% Meta trial-to-paid
- Offer 15% off each if users add a workout buddy to their plan15% of trial starts add a buddy; higher order value and better retention
- Build free calorie and macro calculators that rank in AI search and lead to the quizWorking well, founder says; tools convert slightly better than blog posts
- List every reason a page fails before brainstorming fixes, and write each test down~70% of tests fail first time; written notes turn failures into later winners
- Release new features quietly, and announce only once usage proves themFounder says it gives cleaner reads than email-hyped launches; no numbers
- Build an AI coach trained on the creator's videos that reads each user's own dataOne of customers' favorite features, founder says; no numbers
- Team up with researchers and run studies with your own app usersFounder says it adds credibility; no numbers
- Show only the yearly plan first, with a day-by-day trial timeline and reminder promiseAnnual picks rose from ~60% to 75-80%, with no price change
- Add more explanation to the pricing page to make the value clearerHurt conversion; extra text overwhelmed buyers who were ready to start
- Offer 20% off to pay now, with a toggle back to the 14-day free trialQuite negative, even with a 30-day money-back guarantee
- Make both the free trial and the pay-now discount sound goodVery strong lift after a few weeks, vs the version that shamed the trial
- Film a months-long science experiment video with real people in a rented studioOne of the year's top videos; decent but not major app conversion
Tags: meta, trial-to-paid, retention, sequencing