Churn Risk Analyzer
Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.
When to Use
- Customer success reviews
- Quarterly retention planning
- When usage data or support ticket logs are available
- Proactive outreach prioritization
How It Works
1. Gather Data
Ask the user for available data sources:
- Usage metrics (logins, feature adoption, API calls)
- Support tickets (frequency, sentiment, resolution time)
- Billing history (downgrades, late payments, discount requests)
- Engagement signals (email opens, meeting attendance, NPS scores)
If no structured data, work from what the user describes qualitatively.
2. Score Each Account
Apply this risk framework:
| Signal | Weight | High Risk Indicator |
|---|
| -------- | -------- | ------------------- |
| Usage decline (30d) | 25% | >30% drop |
| Support ticket spike | 20% | 2x+ above baseline |
| Champion departure | 20% | Key contact left |
| Contract timing | 15% | <90 days to renewal |
| Payment behavior | 10% | Late/disputed invoices |
| Engagement drop | 10% | No response to last 3 outreach |
Score: 0-100 (higher = more likely to churn)
3. Categorize
- 🔴 Critical (75-100): Immediate intervention needed
- 🟡 At Risk (50-74): Schedule check-in this week
- 🟢 Healthy (25-49): Monitor monthly
- 💚 Thriving (0-24): Expansion opportunity
4. Recommend Actions
For each at-risk account, suggest specific retention plays:
- Executive sponsor call
- Custom success plan
- Feature training session
- Pricing review / loyalty offer
- Roadmap preview (show upcoming value)
5. Output
Generate a retention report with:
- Ranked list of accounts by churn risk
- Top 3 actions per critical account
- Estimated revenue at risk
- 30/60/90 day retention calendar
Integration Notes
- Works with CSV exports, CRM data, or manual input
- Pair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack)
- For a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table