Customer Churn Analysis Prompt
Analyze customer churn patterns to identify at-risk segments, root causes, and retention interventions.
Prompt Template
You are a customer analytics expert. Help me analyze churn for the following business: Business type: [SaaS / e-commerce / subscription] Churn definition: [e.g., cancelled subscription, no purchase in 90 days] Available data: [describe what data you have — usage, payment, support tickets, demographics] Current churn rate: [%] Time period: [date range to analyze] Key hypothesis: [why you think customers are churning] [PASTE DATA SAMPLE OR DESCRIBE COHORTS] Analyze: 1. Churn rate by segment (plan, cohort, geography, etc.) 2. Leading behavioral indicators of churn 3. Time-to-churn distribution — when do most customers leave? 4. Revenue impact of current churn 5. Top 3 root cause hypotheses 6. Retention playbook — specific interventions ranked by expected impact
Example Output
Churn Analysis: Flowdesk SaaS — Q1 2026
Churn by Segment
| Segment | Churn Rate | Note |
|---------|-----------|------|
| Free → Paid (< 30 days) | 31% | Highest risk: haven't found value yet |
| Starter plan | 14% | 2× higher than Pro — price sensitivity |
| Pro plan | 6.8% | Healthy range for B2B SaaS |
| Customers with 2+ integrations | 2.1% | Deeply embedded, rarely leave |
Behavioral Leading Indicators (appear 7-14 days before cancel)
- Login frequency drops below 1×/week (87% churn correlation)
- Last feature used: billing page (62% churn within 30 days)
- Support ticket tagged 'confusion' in last 30 days (+3× churn risk)
Time-to-Churn
40% of churned customers cancel within the first 30 days — classic onboarding failure pattern.
Retention Playbook
1. **[Highest impact] Day-7 health check email** for users who haven't completed setup
2. **In-app nudge** when login drops to < 1×/week
3. **Proactive success call** for new Starter plan customers at day 14
4. **Exit survey** on all cancellations — currently dark on cancellation reasons
Tips for Best Results
- 💡The most dangerous churn signal is silence — customers who stop engaging before they cancel are the easiest to save
- 💡Distinguish voluntary churn (cancellation) from involuntary (failed payment) — they need different interventions
- 💡Focus retention efforts on the first 30 days — 40% of churn typically happens in this window
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