churn-prevention

Design a SaaS cancel flow to reduce voluntary churn by implementing multi-step exit surveys and dynamic save offers matched to cancellation reasons. This framework also incorporates proactive health scoring to identify at-risk users before they initiate cancellation.

Recover failed payments and reduce involuntary churn by implementing a full dunning stack. This includes smart payment retry logic, pre-dunning alerts, and escalating email sequences to recover 50-60% of failed transactions.

Yes, you can use health score modeling for both B2B and B2C SaaS retention. The framework applies proactive churn prediction models to identify at-risk users across different use cases before they decide to cancel.

Map save offers to cancellation reasons using dynamic offer matching within a multi-step cancel flow. This strategy targets the specific feedback provided in exit surveys to present the most relevant retention incentive.

Yes, this approach supports compliance with cancellation regulations like the FTC Click-to-Cancel rule. The framework provides specific guidance to ensure your cancel flow meets regulatory requirements while optimizing retention.

An escalating dunning email sequence strategy recovers failed subscriptions by combining pre-dunning alerts with smart payment retries. This structured approach can cut involuntary churn from 15% to under 2%.