Application analytics

Cohort Rebuild Study

Rebuild retention cohorts from raw history, check identity continuity, and separate genuine shifts from pipeline artefacts.

₩3,800,000 · 3-week study

Printed charts and data tables on a desk

Retention charts move for reasons that have nothing to do with product quality: SDK upgrades, timezone mishandling, anonymous-to-known identity merges, or an onboarding rename that breaks day-one definitions.

This study rebuilds cohort windows from raw event history, verifies identity continuity across platforms, and tests early-session behaviours against return rates. We state sample limits plainly and refuse to dress pipeline artefacts as insights.

You receive a shortlist of behaviours worth protecting, a list of artefacts to stop celebrating, and a reusable cohort outline your analysts can maintain after we leave.

Typically included

  • Cohort definition rebuild
  • Identity continuity checks
  • Behaviour predictor shortlist
  • Analyst handoff outline

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