When you buy a small SaaS business, churn is the number that decides whether you bought a durable asset or a shrinking customer list, so check it by segment and cohort before you agree on any price. The headline churn figure in a listing is almost always the most flattering version available, usually a blended average across plans, channels, and time periods that hides exactly the weaknesses you need to see. A serious buyer rebuilds churn from subscription exports and payment records, separating customers who left from revenue that left, because those two stories can point in opposite directions and only one of them determines what you will actually earn.

Start with the difference between logo churn and revenue churn, since confusing the two is one of the costliest mistakes in micro-acquisitions. Logo churn counts the share of customers who cancel, while revenue churn counts the share of monthly recurring revenue that disappears through cancellations and downgrades. A product that loses many nine-dollar users but keeps its four-hundred-dollar accounts can look bad on logo churn and fine on revenue churn, and for valuation purposes the revenue figure is the one that matters. Always ask for both, by month, for at least twelve months, and be suspicious if the seller can only produce one of them.

Monthly churn compounds brutally, and working through the arithmetic before you offer will change how you see many deals. At 1 percent monthly churn, about 89 percent of customers remain after a year; at 3 percent, only about 69 percent remain; and at 5 percent, barely 54 percent are left. That means a business at 5 percent monthly churn needs to replace nearly half its customer base every year just to stand still, which demands a marketing engine, a sales process, and a budget that the listing may not mention. If the seller cannot show how new customers are acquired profitably, high churn is not a minor blemish but the central fact of the business.

Ask for churn broken down by signup month, plan, and acquisition channel, because a blended average can hide a weak recent cohort, a dying pricing tier, or a channel that brings in users who cancel within thirty days. Cohorts from a lifetime deal promotion, for example, often churn far faster than organic signups, and a product whose newest cohorts are worse than its oldest ones is deteriorating, not stabilizing. Similarly, check whether churn spikes after annual renewals, which can indicate customers who never really adopted the product and simply forgot to cancel until the renewal reminder arrived.

Separate voluntary churn from involuntary churn, and treat the two very differently in your valuation. Involuntary churn comes from failed cards, expired payment methods, and billing errors, and it is often fixable with dunning emails, card-update prompts, and retry logic, so it should not scare you as much as the headline suggests. Voluntary churn, by contrast, means customers actively chose to leave, usually because of missing features, poor support, a better competitor, or a price rise they would not accept, and that kind of churn points to a product problem you will inherit on day one. Ask the seller for cancellation reasons, support ticket themes, and any exit surveys they have collected.

Finally, price the deal on the churn you verified, not the churn in the headline, and use structure to protect yourself where retention is uncertain. If retention is weak but the product is otherwise sound, negotiate a lower multiple, hold part of the price in escrow, or tie a portion of payment to retained revenue six or twelve months after closing. Check net revenue retention as a cross-check, but remember that upgrades from surviving customers can mask heavy losses, especially if those upgrades came from a price rise pushed through just before listing. A buyer who understands churn before signing is a buyer who does not have to learn about it from an emptying customer list afterwards.