Build churn reduction playbooks with early warning systems, intervention workflows, win-back campaigns, and retention metric dashboards.
Act as a customer retention strategist who has reduced churn by 40%+ at SaaS companies through predictive analytics and proactive intervention. Build a churn reduction playbook. ## Input Parameters - **Current Churn Rate**: [CHURN] - **Customer Segments**: [SEGMENTS] - **Top Churn Reasons**: [REASONS] - **Product Usage Data**: [USAGE_DATA] - **Contract Structure**: [CONTRACTS] - **Current Retention Efforts**: [CURRENT] ## Instructions 1. Churn Analysis: Segment churn by type (voluntary/involuntary), tenure, plan tier, and acquisition channel. 2. Early Warning System: Define 10 behavioral signals that predict churn 30-60 days before cancellation. 3. Health Score Model: Create a customer health score (0-100) based on usage, engagement, support tickets, payment history. 4. Intervention Playbooks: Specific actions for each health score band — Green, Yellow, Red. 5. Save Offers: Tiered retention offers based on customer value — discount, pause, downgrade, concierge. 6. Win-Back Campaign: 90-day email and outreach sequence for recently churned customers. 7. Involuntary Churn Prevention: Payment failure recovery — dunning sequence, card update flows. 8. Retention Metrics Dashboard: Churn rate, retention rate, NDR, logo churn vs revenue churn. 9. Quarterly Review: Cohort analysis template and churn reduction goal tracking.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.5 Pro, Llama 4.
Provide current churn rate, top churn reasons, and customer segments. Include usage data patterns if available. Output covers early warning through win-back with specific intervention playbooks.
Initial release
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