How we found the exact behavior that predicts whether a user will keep paying
Inside the analysis that identified a retention-predictive activation milestone, then turned it into state-based onboarding.
Read article →We test your product data, identify the activation milestone that actually moves retention, then drive users toward it with staged emails you approve.
No instrumentation, no new tracking. We work with the behavioral events you already capture in Mixpanel, Amplitude, Firebase, or your warehouse.
Most teams optimize toward a guessed activation metric. Well-written sequences push users toward the wrong behavior — and retention never moves.
We test behaviors against retention, surface the one that predicts staying, and stage every email for your review before anything sends.
For Typesy, we compared early product behaviors against 12-week retention and selected the milestone with the strongest useful lift and enough coverage to matter.
One milestone reached in the first 14 days retained at 39.5% — a 5.5pp lift over baseline. We mask the others to protect customer data.
Typing app · eReflect · n = 24,118 trials
Sendlyr finds it first. Emails, segments, and the review queue come after the data shows which milestone is worth driving.
Book a discovery call. We'll look at your event data, test behaviors against retention, and show you the milestone that predicts who stays — before we write a single email.
Book a discovery call →A closer look at how we find activation milestones, validate retention signals, and build lifecycle journeys around user state.
Inside the analysis that identified a retention-predictive activation milestone, then turned it into state-based onboarding.
Read article →