churn-prevention

A cancel flow design starts with a trigger, presents an exit survey with categorized reasons, maps dynamic save offers to each reason, and defines a post-cancel reactivation path. A fallback offer ensures coverage if the primary offer is declined.

A dunning framework prevents involuntary churn from failed payments using pre-dunning reminders, smart retries, escalation emails, and grace periods. This structured payment recovery process recovers revenue before access is permanently revoked.

A customer health score for proactive retention tracks usage signals and engagement signals to determine actionability. By monitoring these metrics, teams can trigger proactive interventions before a user decides to cancel.

Save offers should match exit survey reasons directly: discounts for pricing concerns, pauses for temporary needs, downgrades for low usage, and roadmap updates for missing features. Each reason gets one targeted offer with a fallback.

Yes, this churn prevention framework applies across both self-serve and enterprise usage scenarios. It scales structured cancel flows, health scoring, and dunning to fit different customer segments and their specific retention needs.

A post-cancel win-back strategy coordinates reactivation through a defined path after cancellation. It leverages exit survey data and past engagement signals to trigger targeted outreach and bring churned users back.