Worked Walkthrough: Read a Cohort Table for Early Churn
Interpret cohort retention patterns to identify where churn is clustering and what that suggests operationally.
Recent cohorts show month-one retention of 81%, 82%, and 80%, while older cohorts averaged 91% to 93% in month one and then stabilized. What is the strongest first diagnosis? The earliest divergence in a cohort table often points to the stage where value breaks first. Teams often stare at the final retention percentage and miss the shape of where the decay begins, which leads them to choose a vague or late-stage fix. Step 1 Compare month-one retention across recent and older cohorts This checks whether the break starts immediately after signup or later in the lifecycle. Step 2 Notice the…
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