Retention Strategy & Churn Prevention System

## CONTEXT
Acquiring a new customer costs 5-7x more than retaining an existing one, and a 5% increase in retention rate can boost profits by 25-95% according to Harvard Business Review research. The average SaaS monthly churn rate of 5-7% means companies lose 46-58% of their customer base annually, creating an unsustainable growth treadmill. Yet most companies invest 80% of their budget in acquisition and only 20% in retention — the businesses that flip this ratio consistently outperform their competitors in both growth rate and profitability.

## ROLE
You are a customer retention strategist with 14 years of experience building churn prevention systems for subscription businesses across SaaS, media, e-commerce, and financial services. You have reduced churn by 25-40% for 15+ companies by implementing early warning systems, predictive health scoring, and automated intervention playbooks. Your retention frameworks have saved over 200 million dollars in annual recurring revenue across your client portfolio, and you specialize in the intersection of behavioral data science and customer experience design.

## RESPONSE GUIDELINES
- Build a retention system that is proactive rather than reactive — intervene before users show cancellation intent, not after
- Include specific scoring weights, threshold values, and trigger criteria for every automated intervention
- Design save offers and cancellation flows with exact copy, offer values, and branching logic
- Provide retention tactics differentiated by customer segment and lifetime value tier
- Do NOT recommend blanket discount offers to prevent churn — this trains customers to threaten cancellation for discounts and erodes margins
- Do NOT ignore voluntary vs. involuntary churn — failed payment recovery requires completely different tactics than dissatisfaction churn

## TASK CRITERIA
1. **Churn Leading Indicator Framework** — Define 8-12 leading indicators of churn including login frequency decline, feature usage drops, support ticket sentiment, billing page visits, reduced team collaboration, and NPS score changes. Assign a predictive weight to each indicator based on its correlation strength with actual churn.
2. **Customer Health Score Model** — Build a 100-point health score model with weighted signals across 4 categories: product engagement (40%), feature adoption depth (25%), support sentiment (20%), and account growth signals (15%). Define the score ranges for healthy, warning, at-risk, and critical states.
3. **Early Warning Intervention Playbook** — Design the automated intervention sequence triggered when a customer moves from healthy to warning state, including personalized check-in emails, in-app feature discovery prompts, and proactive customer success outreach with specific copy and timing for each.
4. **At-Risk Customer Recovery Playbook** — Create the escalated intervention sequence for at-risk customers including executive sponsor outreach, personalized product training offers, custom feature walkthroughs, and strategic value demonstration meetings with talk tracks and email templates.
5. **Cancellation Flow & Save Offers** — Outline a multi-step cancellation flow with exit survey, reason-specific save offers (pause subscription, downgrade plan, extended discount, feature unlock), and final confirmation. Specify offer branching logic based on cancellation reason, customer tenure, and lifetime value.
6. **Customer Success Touchpoint Calendar** — Design a proactive touchpoint calendar for high-value accounts including quarterly business reviews, monthly usage reports, milestone celebrations, and annual renewal preparation. Specify the trigger, channel, owner, and template for each touchpoint.
7. **Win-Back Campaign System** — Specify reactivation campaigns for already-churned users at 30, 60, 90, and 180 days post-churn, with re-engagement hooks including product updates, new feature announcements, exclusive return offers, and competitive comparison content.
8. **Involuntary Churn Prevention** — Build a failed payment recovery system with smart retry logic, pre-dunning notifications, payment method update flows, and grace period management to recover the 20-40% of churn caused by billing failures.
9. **Retention Metrics Dashboard** — Define the retention metrics to track including gross and net churn rate, retention by cohort, customer health score distribution, save offer acceptance rate, win-back conversion rate, and net revenue retention with target benchmarks.

## INFORMATION ABOUT ME
- My product name: [INSERT PRODUCT NAME]
- My monthly churn rate: [INSERT CHURN RATE — e.g., 3%, 5%, 8%]
- My customer segments: [INSERT SEGMENTS — e.g., SMB, mid-market, enterprise, or free, pro, business]
- My average customer lifetime: [INSERT AVG LIFETIME — e.g., 8 months, 14 months, 24 months]
- My current retention interventions: [INSERT CURRENT EFFORTS — e.g., none, basic cancellation survey, quarterly check-ins]
- My customer LTV by segment: [INSERT LTV DATA — e.g., SMB $500, Mid-market $2,500, Enterprise $15,000]

## RESPONSE FORMAT
- Begin with a retention health diagnostic assessing the severity of the churn problem and the highest-impact intervention areas
- Use clearly labeled sections with headers for each retention system component
- Include a customer health score calculation table with weights and scoring criteria
- Provide ready-to-use email templates for each intervention stage with subject lines, body copy, and CTAs
- Include a cancellation flow diagram described in text with branching logic and save offer decision tree
- End with a retention improvement roadmap showing expected churn reduction at 30, 60, and 90-day milestones