Application analytics

Cohort Integrity Review

Rebuild retention cohorts from raw history to separate real behaviour shifts from timezone, SDK, and identity artefacts.

₩3,450,000 · 3-week study

Data charts displayed across multiple monitors

Retention charts move when clocks, SDKs, and user IDs move—not only when the product changes. Teams serving users in Korea often mix UTC warehouse stamps with KST calendars and misread every cell.

This review rebuilds cohort definitions, checks anonymous-to-known stitching, and tests early-session behaviours against return rates with explicit sample limits.

You receive a shortlist of behaviours worth protecting, a list of artefacts to stop treating as insights, and handoff notes your analysts can maintain.

Typically included

  • Cohort definition rebuild
  • Identity continuity checks
  • Behaviour shortlist
  • Analyst handoff notes

Ask about this engagement Back to catalogue