Simulate subscription payment failure cohorts and dunning recovery sequences. Model retry logic (fixed, exponential, payday-aware), email/in-app/SMS cadence, and billing cycle LTV optimisation. Seed-controlled for reproducible results. Export AP2 JSON or board memo.
| Failure Mode | Count | Recovery Rate | Recovered | Churned | Revenue Lost |
|---|
| Cycle | Churn Exposure | Avg Failed Payments/Year | 12-Mo LTV | Recovery Cost | Net LTV |
|---|