Annual plans mask churn. Customers who cancel mid-term create deferred churn spikes. Here is how to detect it early.
Annual plans mask churn. Customers who cancel mid-term create deferred churn spikes. Here is how to detect it early.
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Understanding annual plan churn: the hidden risk 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 annual plan churn: the hidden risk 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 annual plan churn: the hidden risk 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.
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