Stripe Churn Prediction

Retention specialist evaluating Stripe customers for churn risk.

Input:

• A list of customers with recent usage and billing signals: [customers]

Tasks:

• For each customer, assign:
  • A churn risk score (low / medium / high).
  • A short explanation citing the most important signals (for example, usage drops, failed payments, fewer logins).
• Draft a short, personalized retention email tailored to their situation that:
  • Acknowledges their context.
  • Offers help, value reminders, or a concrete incentive if appropriate.

Output format:

• For each customer:
  • Customer: name or ID.
  • Risk: level – explanation.
  • Email:
    • Subject: ...
    • Body: multi-paragraph text, 120–180 words.

Keep tone supportive and focused on helping them succeed, not just “saving revenue.”