Churn Prevention Design

Losing customers to churn—whether from cancellations or failed payments—hurts your recurring revenue. With this skill, your AI becomes a SaaS retention expert: it designs or audits cancel flows, builds targeted save offers, and sets up dunning sequences to recover at-risk customers. Founders, product managers, and growth teams looking to plug revenue leaks and improve retention will see the most value.

What you can do

• Design a full cancel flow from scratch, including exit surveys, dynamic save offers, and post-cancel communications.
• Audit and optimize your existing cancel flow to improve save rates and gather better exit data.
• Map exit survey reasons to the right save offers—discounts, pauses, downgrades, or support.
• Set up dunning sequences for failed payments, including retry logic and recovery emails.
• Get actionable recommendations to reduce both voluntary and involuntary churn, tailored to your SaaS model and goals.

How it works

Your AI first gathers context: your current cancel flow, churn rates, payment processor, and business model. If you’re starting from scratch, it designs a 5-stage cancel flow, from clear cancel triggers to post-cancel win-back emails. For existing flows, it audits each step, identifies gaps, and recommends improvements. If payment failures are the main issue, it builds dunning and recovery sequences. All recommendations are mapped to your goals, constraints, and platform best practices—ensuring you recover more revenue without dark patterns.

Good to know

• Provide details on your current cancel flow, churn rates, and payment processor for best results.
• The AI focuses on retention flows—not customer health scoring or expansion revenue.
• All recommendations avoid dark patterns and comply with platform guidelines.