The Cohort Retention & Payback Modeling engagement provides mobile businesses with rigorous statistical analysis of subscriber renewal curves and cashflow dynamics. Simplistic heuristics such as dividing 1 by monthly churn rate produce catastrophic errors when calculating acquisition payback for mobile apps.
Our consultants extract raw transaction histories and calibrate non-linear survival models that reflect real-world subscriber decay.
Core Areas of Investigation
Survival Function Fitting:
- Fitting shifted Beta-Geometric (sBG) distributions to recurring monthly and annual subscription contracts.
- Isolating the “cliff effect” where first-renewal cancellations differ drastically from subsequent renewal periods.
- Calculating asymptotic retention floors for mature user cohorts.
Cashflow Recovery & Payback Horizons:
- Computing exact Day-30, Day-90, and Day-180 cash realization after platform commission fees (Apple 15%/30%, Google 15%), refunds, and chargebacks.
- Modeling cross-subsidization between high-margin annual plans and high-volume monthly subscribers.
Cohort Stratification Factors:
- Disaggregating organic baseline cohorts from paid acquisition campaigns.
- Segmenting LTV curves by geographic tier (Tier 1 vs Tier 2/3 markets), platform OS version, and acquisition channel.
Deliverables
- Statistical Cohort Analysis Report: Detailed breakdown of historical retention curves and variance analysis.
- Dynamic LTV Calculator (Spreadsheet & SQL Templates): Custom parameter-driven model allowing your finance and growth teams to simulate acquisition payback under varying pricing, refund, and discount structures.
- SQL Query Repository: Reusable queries tailored for your data warehouse (BigQuery, Snowflake, Redshift, or PostgreSQL).