churn-prevention

Design a SaaS cancel flow by adding an exit survey, mapping dynamic save offers to cancellation reasons, and enforcing a confirmation step before finalizing the churn. Follow up post-cancel to maintain a reactivation path for recovering lost subscription revenue.

Recover failed payments and prevent involuntary churn by setting up pre-dunning reminders, smart retries, escalating dunning emails, and grace periods. This subscription billing sequence transforms payment failures into recoverable moments instead of permanent revenue loss.

Health scoring for churn prediction works by defining churn risk signals across user behavior and subscription billing data, creating a quantifiable score, and triggering proactive retention interventions before high-risk customers decide to cancel.

Match save offers to exit survey reasons by aligning discounts for price-sensitive users, account pauses for temporary needs, and plan downgrades for right-sizing. This dynamic offer mapping targets the specific voluntary churn motivation directly.

Yes, you can use this to analyze an existing subscription business and draft a retention plan. It outputs cancel flow designs, save offers, health scoring models, and dunning steps to prioritize the highest-impact churn prevention fixes.