Cohort Health Monitoring

Cohort analysis is not a quarterly exercise — it is a continuous monitoring system. The retention matrix should update monthly. Behavioral cohort indicators should be tracked weekly. Concentration risk should be reviewed whenever a significant new deal closes or an existing customer shows risk signals. The companies that get surprised by churn spikes are the companies that look at cohort data once a quarter instead of treating it as an operational dashboard.

Cohort Health Alerts — Week of March 15:
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[RED] Q1-26 cohort Mo-3 retention at 88%
      vs. 94% expected. 6pp below benchmark.
      Root cause: 3 mid-market accounts showing
      low adoption (< 20% feature activation).
      Action: CSM outreach within 48 hours.

[YELLOW] Enterprise segment net retention
         dropped from 118% to 112% over 2 months.
         Expansion pipeline thinning in accounts
         with >2 year tenure.
         Action: Review expansion playbook for
         long-tenure accounts.

[GREEN] SMB cohort degradation stabilized after
        onboarding process change in January.
        Mo-3 retention improved from 76% to 83%.
        Continue monitoring for 2 more cohorts.

1. Set Cohort Benchmarks For each cohort dimension (time, segment, channel), establish expected retention at month 3, 6, 12, and 24. Any cohort that falls more than 3 percentage points below benchmark triggers a yellow alert. More than 6 points below triggers a red alert with mandatory root cause analysis within one week.
2. Build Early Warning Indicators Leading indicators surface 60-90 days before churn materializes: declining login frequency, support ticket spikes, delayed renewals, champion departures. Map these indicators to cohort-level retention predictions. A cohort showing 3+ early warning signals should be flagged regardless of its current retention number.