Churn Rate
Churn rate is the percentage of customers (or revenue) a business loses over a given period, and it's one of the clearest signals of whether a product is retaining the customers it wins.
Last updated July 18, 2026
What churn rate measures
Churn rate is the percentage of customers who stop doing business with a company in a given period, usually a month or a year. It is the mirror image of retention rate: if 97% of customers stick around in a month, churn rate for that month is 3%. Churn rate can be measured by customer count (logo churn) or by revenue lost (revenue churn), and the two often diverge — a company can lose a small number of low-value accounts while retaining nearly all of its revenue.
The basic formula is:
Churn rate = (Customers lost in period / Customers at start of period) × 100
Most subscription businesses track churn monthly and also report it annualized, since a small monthly number compounds quickly. A 3% monthly churn rate is not the same as 3% annual churn — compounded over 12 months, it works out closer to 30%.
Gross vs. net churn
Gross churn only counts losses. Net revenue churn nets losses against expansion revenue (upgrades, upsells) from existing customers in the same period, and can turn negative if expansion outpaces losses — a state often called negative churn, where the existing customer base grows revenue even with zero new sales.
Why churn rate matters
Churn rate determines how much of a business's new sales effort is spent replacing lost revenue versus growing on top of it. A company adding 10% new revenue a year but losing 8% to churn is only growing 2% net, even though its sales team is closing plenty of deals. High churn also raises the effective cost of acquiring customers, since each customer has fewer months or years to pay back the cost of winning them — this is why churn rate and customer lifetime value are usually analyzed together.
Churn is also a leading indicator of product or service problems. A spike in churn among customers who onboarded around the same time often points to a specific rollout issue, pricing change, or missing feature rather than random attrition.
Example
A CRM vendor tracks that customers who don't log in during their first two weeks churn at nearly three times the rate of customers who do. Flagging inactive new accounts for a check-in call during onboarding, rather than waiting for a renewal conversation, is a direct response to that churn signal.
Tracking churn inside a CRM
A CRM that tracks account status, renewal dates, and product usage in one place makes it possible to flag at-risk accounts before they cancel, rather than discovering churn only when a renewal is missed. Segmenting churned accounts by plan, industry, or onboarding cohort is what turns a single churn percentage into an actionable list of causes to fix.