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