Churn Prediction
Skill Verified ActiveIdentify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel
To proactively identify customers at risk of churning by analyzing their behavior and health, enabling timely interventions and improving customer retention.
Features
- Systematic risk signal analysis
- Churn probability scoring
- Root cause categorization
- Intervention planning and prioritization
- Cohort churn pattern analysis
Use Cases
- Monthly churn risk reviews
- Prioritizing Customer Success Manager (CSM) interventions
- Building early warning systems for customer churn
- Analyzing churn patterns from historical data
Non-Goals
- Accessing actual customer data directly
- Replacing human intuition or relationship management
- Making final decisions on retention strategies or pricing
- Replacing dedicated CRM or analytics platforms
Compliance
- info:GDPRThe skill operates on user-provided customer data, which may include personal data, and does not perform additional sanitization, potentially submitting personal data to the LLM.
Installation
npx skills add guia-matthieu/clawfu-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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