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MyFitnessPal · pLTV for subscription acquisition
TWhat if you could bid for subscribers by predicted renewal value, not just whether they started a 7-day free trial? You've got gold in your onboarding data.
+32% incremental paid subs −19% cost per incremental customer
The problem
MyFitnessPal subscribers start a 7-day free trial before conversion. Meta and Google still learn only from what fires inside their optimization window: installs, onboarding complete or trial subscribe events.
The value that decides payback shows up at list-price renewal, weeks later. By then, the network has already optimized toward the cheapest converts.
The cost
You optimize only for paid subscriptions. The signal is close to revenue but far too sparse. Most businesses never send enough events to exit learning phase. Campaigns stall. You can't scale.
You teach ad networks on trial starts. That might give the network enough volume, but every event is worth the same. It learns to find the cheapest trial subscribers, not the subscribers who pay and stay.
Either way, the platform learns from events that fire inside a short optimization window, long before real subscriber value appears.
What the network learns
| Ad network learning | What Meta learns today | With Churney pLTV |
|---|---|---|
| Onboarding / paywall views |
0
|
0
|
| First subscribe |
0
|
0
|
| Trial subscribe |
0
|
0
|
| predicted renewal |
0
|
0
|
| predicted 2nd renewal |
0
|
0
|
| predicted churn |
0
|
0
|
The solution
We predict each new user's long-term subscriber value from your first-party data, then send platform-ready pLTV signals to Google, Meta, and TikTok.
Behavioral data, install and intro information, and first-party subscription data become the input layer for pLTV activation.
The model turns early behavioral signals into a calibrated pLTV signal that can be refreshed and activated even before paid conversion and retention fully mature.
Google Ads
Meta
Google Ads
Meta
Google, Meta, and TikTok can optimize toward predicted subscriber value instead of over-learning from whichever users look best on Day 1.
Success
"Churney helped us optimize for long-term subscriber value, not just early trial events. We improved Day 30 ROAS while scaling paid acquisition."
Tetiana MarynychHead of Analytics, Headway
"By optimizing for predicted long-term value, we acquired more valuable subscribers at lower incremental cost."
Cantuğ SügünMarketing Team Lead
FAQ
Trial start and trial-to-paid are short-window proxies. Two users can start the same 7-day free trial on the same day, pick the same annual plan, and look identical to Meta...
Onboarding complete gives volume, not renewal quality. MyFitnessPal collects goals, healthy habits, weight-loss barriers, meal-planning intent, activity level, and biometrics before the trial even starts...
It helps top-of-funnel volume. It also trains networks to find users who start trials but never convert to paid. Churney can separate intro buyers predicted to renew from those predicted to churn at cliff.
CleverTap and cohort reports explain who was valuable. They do not teach Meta who to acquire next. Churney activates pLTV as a live optimization signal via CAPI and Google EC.
Yes. Churney fits subscription apps where trial-to-paid, plan mix (annual vs monthly), and retention change subscriber value, and UA is held back because platforms only see early proxy events. If your best subscribers only show true value after the second billing cycle, you are in the zone.
Next step
Bring your trial start events, trial-to-paid mix, and onboarding stack.
Talk through your acquisition setup, intro-offer signals, and whether pLTV activation is worth testing.
Pick a slot directly in the calendar below. Bring your acquisition setup, trial events, and testing questions.