Churn Analysis Framework

Analyze churn patterns and develop retention strategies for {{product_name}}.

Churn data available: {{churn_data}}
Current retention rate: {{retention_rate}}
Target segment: {{segment}}

**Pattern Analysis**

1. When do users churn?
   - Time-based patterns (days after signup, month of year)
   - Lifecycle stage patterns

2. Who is churning?
   - Segment characteristics
   - Behavioral patterns before churn
   - Value received before leaving

3. Why are they churning?
   - Direct feedback themes
   - Inferred reasons from behavior
   - Competitive losses

**Leading Indicators**
- Engagement signals that predict churn
- Usage thresholds to monitor
- Health score components

**Intervention Strategy**
- At-risk identification criteria
- Intervention timing
- Intervention tactics by churn reason
- Escalation paths

**Retention Improvements**
- Product changes to address root causes
- Onboarding improvements
- Engagement programs
- Win-back campaigns

**Success Metrics**
- How to measure intervention effectiveness
- Target retention improvement