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Built With Science — scaling Meta from $0 to ~$100k/month on top of a big YouTube audience

Case study of a 7M-subscriber fitness creator's app — a year of product work before any ads, a month to baseline Meta trial-to-paid (~25% vs 35–40% organic), avatar-based creatives without the influencer's face, in-house buying, 90% of traffic to a web quiz.

Built With Science — Meta from $0 to ~$100k/month

TL;DR (Ethan Ethier, Sept 2026)

  • An audience buys a launch spike, not a growth engine: even with millions of YouTube subscribers, growth came from adding Meta, SEO and AEO.1
  • Waited a year after launch (Jan 2025 → first ads Jan 2026) to improve trial-to-paid, retention and churn — paid traffic always converts colder, so lift the floor first.23
  • Spent ~1 month just establishing a Meta trial-to-paid baseline to know allowable CAC; result ≈ 25% on Meta vs 35–40% organic at $189/year.45
  • Creatives don’t rely on the founder-influencer (bandwidth “bus problem”): B-roll, testimonials, many AI statics; angles built around specific avatars from customer surveys.67
  • In-house, not an agency, so ads match what the product actually does; clickbait drew cheap trials and poor trial-to-paid.89
  • ~90% of paid traffic goes to a long web quiz, which beat direct-to-App-Store in a head-to-head test — see Send paid traffic to a web quiz or straight to the App Store?.10

Details

Measurement. Because organic YouTube traffic blurs attribution, an engineer built a dashboard validating that each trial genuinely came from Meta; they then feed the highest-intent users back to Meta as signals.11

Positioning enables price. $189/year or $30/month, sold as “a personal trainer in your pocket”, never as a tracker — in ads too. They haven’t price-tested yet, preferring to fix retention and trial-to-paid first because price changes muddy product metrics.1213

Organic content still converts. Story videos about a user’s transformation drive more trials than broad educational videos; clippers repost long-form on Reels/TikTok and the viral hooks inform future videos (and ads).1415

Operating model. Spend less time in Ads Manager, more on creative; keep iterating winners while slowly adding new avatars.716

Disagreements / caveats

See also

Footnotes

  1. Why 90% of their paid traffic goes to a quiz, not the App Store @ 04:32 — Ethan Ethier ↩

  2. Why 90% of their paid traffic goes to a quiz, not the App Store @ 16:45 — Ethan Ethier ↩

  3. Why 90% of their paid traffic goes to a quiz, not the App Store @ 17:44 — Ethan Ethier ↩

  4. Why 90% of their paid traffic goes to a quiz, not the App Store @ 18:52 — Ethan Ethier ↩

  5. Why 90% of their paid traffic goes to a quiz, not the App Store @ 32:33 — Ethan Ethier ↩

  6. Why 90% of their paid traffic goes to a quiz, not the App Store @ 13:45 — Ethan Ethier ↩

  7. Why 90% of their paid traffic goes to a quiz, not the App Store @ 20:23 — Ethan Ethier ↩ ↩2

  8. Why 90% of their paid traffic goes to a quiz, not the App Store @ 20:23 — Ethan Ethier ↩

  9. Why 90% of their paid traffic goes to a quiz, not the App Store @ 21:54 — Ethan Ethier ↩

  10. Why 90% of their paid traffic goes to a quiz, not the App Store @ 24:51 — Ethan Ethier ↩

  11. Why 90% of their paid traffic goes to a quiz, not the App Store @ 23:06 — Ethan Ethier ↩

  12. Why 90% of their paid traffic goes to a quiz, not the App Store @ 28:05 — Ethan Ethier ↩

  13. Why 90% of their paid traffic goes to a quiz, not the App Store @ 32:33 — Ethan Ethier ↩

  14. Why 90% of their paid traffic goes to a quiz, not the App Store @ 05:36 — Ethan Ethier ↩

  15. Why 90% of their paid traffic goes to a quiz, not the App Store @ 13:45 — Ethan Ethier ↩

  16. Why 90% of their paid traffic goes to a quiz, not the App Store @ 23:57 — Ethan Ethier ↩