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Customer Cancellation Risk Predictor
Analyze support ticket language and account history to identify customers at high risk of churning and trigger proactive retention outreach.
Updated June 2026
The prompt
Assess churn risk from this support interaction: Customer profile: - Tenure: {{customer_tenure}} - Subscription tier: {{subscription_tier}} - Support ticket count (last 6mo): {{ticket_count}} - Avg. days between tickets: {{days_between_tickets}} Latest ticket: {{latest_ticket}} Rate churn risk (1-10) and identify: 1. Risk signals (feature gaps, pricing concerns, competitor mentions, frustration escalation) 2. Customer lifetime value at stake 3. One specific retention offer or action to suggest 4. Recommended urgency of follow-up (immediate/this week/monitor) Include risk score justification.
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Variables
How long customer has been subscribed (e.g., 8 months)Current subscription level (Starter, Pro, Enterprise, etc.)Number of support tickets filed in last 6 monthsAverage days between consecutive support ticketsContent of most recent support ticketDetails
Author
AI Khazna
License
—
Security
—
Type
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