An overall average — like “average client value” — often masks reality: older clients might be far more valuable than newer ones, or the reverse, and the average just hides the difference.
How cohort analysis shows more
- Clients are grouped by when they became clients (e.g., by quarter), not lumped together
- Each group’s behavior is tracked over time — do newer cohorts stick around longer or shorter than earlier ones
- Trends emerge that would stay invisible in an overall average — for example, that recently acquired clients are churning faster
This kind of analysis lets you answer not just “how are we doing,” but “are we doing better or worse than six months ago” — a fundamentally different question.
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