What we heard
Growth could acquire users, but product could not explain why most disappeared. The shared brief was to find the earliest behavior that predicted a genuinely retained customer.
Acquisition and product activation redesigned around the behaviors that predict retention.
Install volume was increasing while trial completion and paid retention declined. Media algorithms had no visibility into product quality.
We identified activation milestones, rebuilt onboarding experiments, and optimized acquisition to retained subscription signals.
App campaigns + product Snapshot
A representative product-growth view connecting retention cohorts, first-session milestones, and paid subscription signals across the complete user journey.
Representative visualization · Results shown are from this engagement

The work moved through three connected stages: listening closely enough to find the real constraint, operating as one team, and turning evidence into a decisive breakthrough.
What we heard
Growth could acquire users, but product could not explain why most disappeared. The shared brief was to find the earliest behavior that predicted a genuinely retained customer.
How we collaborated
Product, lifecycle, analytics, and acquisition operated one experiment backlog. Each week paired an audience or creative test with an onboarding hypothesis instead of treating them as separate funnels.
The breakthrough
A small cluster of first-session behaviors predicted long-term retention. Making those behaviors easier, and sending them back to media, created a compounding loop.
Each workstream had an owner, an evidence standard, and a clear connection to the commercial outcome. This kept execution fast without turning the engagement into disconnected tactics.
Mapped behaviors correlated with 30-day retention
Rebuilt the first-session activation journey
Passed quality events back to ad platforms
Created cohort reporting by source and creative