Every SaaS listing advertises MRR, churn, and growth. Experienced buyers ignore the advertised numbers and rebuild them from raw billing exports, because definitions vary enough to move valuations materially.
Understanding how buyers recalculate is the best preparation a seller can do: it predicts every hard question before it is asked.
MRR, reconstructed
Buyers derive MRR from subscription line items, normalizing annual plans to monthly, excluding one-time charges, usage overages beyond contracted amounts, and paused or comped accounts. The commonest inflations they find: annual prepays booked as monthly revenue spikes, services revenue blended into MRR, and free-month promotions counted at full value.
The MRR movement schedule, new, expansion, contraction, churned, reactivated, by month, is the document buyers trust most, precisely because it must internally reconcile: ending MRR has to equal beginning plus the movements. Build it from the export and the interrogation gets easier.
Churn, where definitions bite hardest
| Metric | Flattering definition | Buyer definition |
|---|---|---|
| Logo churn | Excludes 'downgrades to free' | Any paying customer who stops paying |
| Revenue churn | Net of expansion (NRR only) | Gross churn shown separately from expansion |
| Timing | Churn counted at term end | Churn counted when notice given or renewal lapses |
| Base | Trailing average customer count | Cohort-consistent denominators |
Cohorts and concentration
Cohort tables answer the question every buyer is really asking: does a customer acquired today stick around long enough to be worth the price? Revenue cohorts beat logo cohorts because they capture expansion, and buyers read the diagonal, whether recent cohorts retain better or worse than older ones, as the trend line for the business itself.
Concentration checks run alongside: top-10 customer share, plan mix, and channel dependence. A business at 40 percent revenue from one platform's marketplace or one affiliate is priced as a different risk than its topline suggests.
The credibility effect
Metric games have asymmetric payoffs: a flattering definition might add a little to the asking price, but a buyer who catches one recalculates everything else with suspicion, and suspicious buyers bid lower or leave. Sellers who publish buyer-standard definitions from the first conversation consistently run faster processes.
The practical move: state the definition next to every metric in your materials, and let the raw exports in the diligence folder back each one.
Next steps
FAQ
What SaaS metrics matter most to acquirers?
MRR and its movement schedule, gross revenue churn, net revenue retention, cohort retention trends, gross margin after hosting costs, and customer or channel concentration.
What is a good churn rate for a small SaaS?
It varies by market and price point: SMB tools often run 3 to 7 percent monthly logo churn, while B2B products with annual contracts can run under 1 percent monthly. Trend and cohort direction matter more than the absolute number.
Do buyers really rebuild metrics from raw data?
Any buyer above casual interest does, and marketplaces increasingly integrate billing systems to verify automatically. Assume every advertised metric will be recalculated.