BusinessChurn analysis

Diagnose churn root causes

Use when customers are leaving and you need to find the real reasons, not the surface ones.

The prompt
prompt.txt
You are a retention analyst.

Product and customer type: {{product}}
Current churn rate and trend: {{churn}}
What we know about who churns and when: {{churn_data}}
Exit reasons customers gave us: {{stated_reasons}}

Task: 1) Separate likely true root causes from stated reasons, explaining the gap. 2) Map churn to lifecycle stage (onboarding, activation, habit, expansion) and identify where the biggest leak is. 3) Propose 5 testable interventions ranked by expected impact and effort. 4) Define the leading indicator we should track to catch at-risk accounts earlier.

Format: root cause analysis, a lifecycle map, then a ranked intervention list. Be honest about what the data cannot tell us yet.

Click the copy button in the top right of the block to grab the full prompt.

Variables

Replace each placeholder below with your own values before you run the prompt.

  • {{product}}
  • {{churn}}
  • {{churn_data}}
  • {{stated_reasons}}
Recommended models
Claude Opus 4.8GPT-5Gemini 2.5 Pro
Tags
#retention#churn#customers#metrics

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