CX-301g · Module 1

Churn Cohort Analysis

3 min read

Individual churn predictions are account-level intelligence. Churn cohort analysis is portfolio-level intelligence — identifying which groups of accounts share churn risk characteristics and whether systemic factors are driving churn across multiple accounts simultaneously. A single account churning is a relationship failure. Five accounts in the same industry churning in the same quarter is a market signal. The cohort analysis distinguishes between individual account issues and systemic patterns.

Do This

  • Analyze churned accounts by cohort: industry, company size, contract vintage, CSM assignment, and engagement type
  • Look for clustering — are certain cohorts churning at significantly higher rates than others?
  • Investigate cohort-level root causes — if all clients in one industry are churning, the issue may be market fit, not relationship quality

Avoid This

  • Treat every churn as an individual account failure without checking for patterns
  • Assume cohort patterns are coincidental — if three healthcare clients churn in one quarter, the probability of coincidence is low
  • Analyze only churned accounts — compare churn rates between cohorts to identify which groups are over-indexed on churn