How to Spot Fake Churn Metrics Before Buying a SaaS

Sellers manipulate churn numbers in five common ways: (1) reporting logo churn while hiding revenue churn, (2) excluding annual-plan customers from churn calculations entirely, (3) counting paused/delinquent accounts as active MRR, (4) using a trailing-3-month average that smooths out spikes, and (5) rebundling churned accounts as 'new' when they return on a different plan. This guide shows you the exact CSV questions to ask that expose each trick.

The 5 questions that expose churn manipulation

  1. Show me logo churn AND revenue churn — not just one
  2. How many annual-plan customers are in their renewal window?
  3. What percentage of MRR comes from accounts with zero logins?
  4. Give me the raw monthly churn numbers, not a 3-month average
  5. Show me reactivated accounts separately from truly new ones

How to apply this: How to Spot Fake Churn Metrics Before Buying a SaaS in a live diligence workflow

Understanding how to spot fake churn metrics before buying a saas as a concept is the easy part. The harder part — and the part that actually matters in a deal — is computing it accurately from a revenue ledger you did not build, under time pressure, with a seller whose interests are not aligned with yours. The workflow below is the one ChurnLens automates, but it is also the one you can follow manually in a spreadsheet if you understand the mechanics.

Step one: request the monthly MRR-by-customer ledger with contract start date, contract end date, plan type, and monthly revenue. This is a standard data-room ask and should be the first one you make, not the last. Step two: compute how to spot fake churn metrics before buying a saas under a consistent definition — exclude trials, include downgrades, separate annual from monthly plans. Step three: segment by acquisition cohort to see whether retention is improving or deteriorating over time. Step four: compare your reconstructed figure to the one in the seller's pitch deck.

The gap between steps two and four is the diligence finding. If your reconstructed how to spot fake churn metrics before buying a saas is materially worse than the reported figure, you have found the specific customers and cohorts driving the divergence, and you have the evidence to either renegotiate or walk. If the numbers match, you have verified the seller's claims and can proceed with confidence. Either outcome is worth the effort.

80%
Overpay for Churn
4.2×
Real vs Reported
$340K
Avg Overpayment
23
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