Application analytics
Return-User Signal Study
Rebuild retention cohorts from raw history and isolate early behaviours that actually predict returning users.
₩3,800,000 · 3-week study
Retention charts move for reasons that have nothing to do with product quality: SDK upgrades, timezone mishandling, silent user-id changes, or onboarding renames that break day-one events.
This study rebuilds cohort definitions, checks identity continuity, and tests early-session behaviours against return rates—with explicit limits on what the sample can prove.
You leave with behaviours worth protecting, artefacts to stop treating as insights, and a cohort outline your analysts can maintain.
Typically included
- Cohort definition rebuild
- Identity continuity checks
- Behaviour predictor shortlist
- Analyst handoff notes