Churn rate: 
Customer segment losing: 
When do they leave: 

Analyze churn root causes:

1. Churn signature (pattern matching)
   - Is churn:
     - Day 30? (onboarding failure)
     - Day 90? (feature discovery failure)
     - Day 180? (value realization issue)
     - Gradual decline? (decreasing usage)
     - Event-triggered? (specific event caused it)

   This tells you WHERE in the lifecycle the problem is.

2. Stated vs actual reasons
   - What do they SAY when leaving?
   - What do they ACTUALLY do before leaving?
   - Usage before churn: dropping? (yes = declining value)
   - Usage before churn: flat? (yes = no value realized)
   - Usage before churn: spiking then stopping? (yes = single use case failed)

3. Compare churned vs retained
   - What do retained customers do that churned don't?
   - What features do they use?
   - How much time invested?
   - How integrated into workflow?
   - Who uses it (individual vs team)?

4. Cohort analysis
   - When did they sign up? (product has changed?)
   - How were they acquired? (quality issues?)
   - What plan were they on? (wrong fit?)
   - What onboarding path? (worked vs failed?)

5. Root cause categories
   - Product: "It doesn't do what I need"
   - Value: "It's not worth the cost"
   - Onboarding: "Too hard to get started"
   - Relationship: "We don't feel supported"
   - External: "Changed circumstances"

6. The lever to pull
   - Which root cause is EASIEST to fix? (high leverage/low cost)
   - Which would reduce churn most? (high impact)
   - For each: 30-day action plan?

7. Retention metrics to add
   - Current: what do you measure?
   - New: what should you measure?
   - How do you track root cause category?
   - How do you know if you've fixed it?

Examples

Input

{
  "churnRate": "8% MoM (industry avg is 5%)",
  "segment": "Startups on $299/mo plan",
  "churnTiming": "Days 45-60 after signup"
}

Output

Churn signature identified, stated vs actual reasons analyzed, churned vs retained comparison, cohort analysis, root cause categories, prioritized levers, and new retention metrics.

Sources

https://www.profitwell.com/churn-benchmarks

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