Cohort Churn & Decay Analysis

Understanding the Shape of Your Retention Curve

User churn rarely happens uniformly. In many mobile and digital applications, churn manifests as steep early drop-offs, gradual mid-lifecycle decay, or abrupt cliffs triggered by specific product updates.

Our Cohort Churn & Decay Analysis isolates every major user group to determine whether your retention curve ever flattens into a healthy plateau—and if not, precisely which cohorts degrade most rapidly.

What We Examine

1. Acquisition Cohort Quality: Comparing survival curves across marketing channels to differentiate high-intent organic users from low-retaining paid acquisition campaigns.
2. Release Regression Detection: Tracking retention rates across consecutive app versions to identify whether a specific update introduced friction, bugs, or workflow regressions.
3. Core Action Frequency: Assessing how frequently active cohorts engage with your app’s core value proposition before their session cadence begins to decay.
4. Resurrection & Dormancy Dynamics: Quantifying how many churned users naturally return, and what triggers reignite their activity.

Deliverables

• The Cohort Decay Report: Comprehensive multi-segment charts illustrating retention curves, retention half-life metrics, and channel-by-channel performance tables.
• Segment Risk Matrix: An executive summary outlining which user personas exhibit sustainable lifetime retention and which represent net-negative acquisition costs.
• Actionable Next Steps: Specific recommendations for product managers on where to focus retention interventions.