Customer retention: churn signals and personal outreach

Every day the scenario measures churn signals, splits customers by risk level, sends each the right email and then tracks the outcome.

  • Churn signals show up early, not in the monthly report
  • A different email for each level of risk
  • No reply means the next step is prepared
  • Revenue impact is calculated for every campaign
MCP Client ToolGmail Tool
Set it up for yourselfScriptera

How it works

To connect Mailjet and MCP Client Tool, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Daily Churn Check
  2. Then: Workflow Configuration
  3. Then: Fetch Customer Data
  4. Then: Calculate Churn Signals
  5. Check: Check Churn Risk
  6. If yes: Fetch Sentiment Data
  7. Check: Merge Customer Intelligence
  8. Check: Segment by Risk Level
  9. If yes: High Risk Strategy Agent
  10. Then: Wait for Email Response
  11. Then: Check Email Engagement
  12. Check: Check Response Status
  13. If yes: Merge All Campaign Paths
  14. Then: Aggregate Campaign Results
  15. Then: Calculate CLV Impact
  16. Then: Analyze Performance Data
  17. Then: Update Strategy Parameters
  18. If no: Follow-up Strategy Agent
  19. If no: Low Risk Strategy Agent
  20. If yes: Fetch Product Usage Analytics
  21. Then: OpenAI Chat Model
  22. Then: Structured Output Parser
  23. Then: MCP Client Tool
  24. Then: Gmail Tool
  25. Then: OpenAI Chat Model 3
  26. Then: Structured Output Parser 3
  27. Then: Pricing API Tool
  28. Then: OpenAI Chat Model1
  29. Then: Structured Output Parser1

You can launch this Mailjet + MCP Client Tool integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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