Analyze churn signals and design tier-based retention interventions.
## Workflow: Churn Analysis and Prevention **Input:** Usage data, subscription details, and support ticket history. **Step 1 — Signals:** Identify leading indicators like login drops and escalations. **Step 2 — Scoring:** Build risk scorecard segmenting Red, Yellow, and Green tiers. **Step 3 — Interventions:** Create playbooks per tier with emails and CSM scripts. **Output:** Churn report with risk scores, segmentation, and intervention plans.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.5 Pro.
Provide usage and engagement metrics with support ticket data.
Initial release
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