Half as many paywall prompts, better timed: +81% offer conversion
Commentary byLiftArchiveOur analysis, not theirsWizz, a dating app, cut its monetization prompts by about half and showed them only at more receptive moments, and its primary offer flow converted 81% better.
Wizz ran the test, and it was retold on the RevenueCat blog from a case study by ContextSDK, which sells context-based timing.
LTV in the test cohorts rose by roughly 20%.
- Primary offer flow conversion: +81%.
- LTV in the test cohorts: up about 20%, so the gain held beyond the first purchase.
- Sample size, duration and significance were not shared.
Control
Users saw the usual volume of monetization prompts, wherever the existing rules triggered them.
Variant
Roughly half as many prompts. Offers were held back in low-intent moments and shown when users were more likely to be receptive.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Fewer interruptions likely meant each prompt was read rather than dismissed out of habit.
- Showing offers when users had time and attention matched the ask to their intent.
- Less pressure may have kept users happier, which can support retention and LTV.
Caveats: No sample size or duration was shared. The result comes from ContextSDK, which sells the timing tool, and was retold by its co-founder Felix Krause, so it may lean positive.
Who ran it
Wizz ran this test. Source: RevenueCat blog. The numbers are theirs; the summary and commentary on this page are ours.
How to run this test on your app
- Hypothesis
- If we cut paywall prompts by about half and only show them in high-intent moments, then conversion per prompt and LTV will rise because users are asked when they are ready to decide.
- Primary metric
- Conversion on the primary offer flow, judged by cohort LTV
- Guardrails
- Total purchases per user
- Refunds and early churn
- Session length or retention
- Who should test it
- Apps that show many prompts across sessions, such as dating, social and games. If your app shows a single onboarding paywall, there is little volume to cut.
Questions
Can showing fewer paywalls really earn more?
In Wizz's case, yes. Halving prompts while choosing better moments lifted conversion on the main offer flow by 81% and LTV by about 20%.
What counts as a receptive moment?
The source points to signals like session length, motion, time of day and whether the user is mid-task.
Hold back during busy or distracted states and ask when the session settles.
How should we judge a timing test?
Keep a true control and compare cohort LTV, refunds and early churn, not just day-zero conversion.
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