The Cohort Retention & Decay Diagnostic evaluates the underlying structural health of your subscriber base. While top-line active subscriber counts often mask churn through rapid user acquisition, longitudinal cohort analysis exposes the true retention decay curve across every subscriber vintage.
Our analytics specialists extract your historical signup and renewal data, isolating specific cohorts by acquisition vintage, campaign source, pricing tier, and billing interval (monthly, quarterly, or annual).
Key Diagnostic Objectives
True Renewal Slope Identification
We calculate the asymptotic baseline where subscriber decay stabilizes (the “retention floor”), distinguishing healthy product engagement from temporary promotional surges.Annual vs. Monthly Multiplier Modeling
Evaluating whether annual billing structures increase cumulative LTV or create a delayed “cliff drop” at Month 12 renewal periods.Discount & Promotional Dilution Tracking
Measuring whether introductory pricing offers (e.g. 50% off first quarter) yield long-term retained value or attract transient users who churn upon normal price resumption.Net Revenue Retention (NRR) Trajectory
Quantifying expansion revenue from plan upgrades and family tiers against contraction and churn to provide true cohort financial yields.
Deliverables
- Comprehensive cohort retention matrix (M1 through M36) formatted in structured analytical tables.
- Statistical decay models predicting future renewal cash flows for active cohorts.
- Specific recommendations for optimal renewal reminder cadences and paywall positioning.
- 60-minute technical review session with your product and data science leads.