There are two distinct measurements and confusing them causes real damage. Customer churn counts departing accounts. Revenue churn measures the recurring revenue those departures represent.
They diverge sharply when customer value varies. Losing 5% of customers who each contribute $50 a month is a very different event from losing 5% who each contribute $5,000 — the customer churn figure is identical and the business impact is not.
Net revenue retention refines this further by including expansion from existing customers. NRR above 100% means growth from your existing base outpaces losses — the strongest signal available that a business compounds without acquisition.
Formula
Churn Rate = Customers Lost in Period ÷ Customers at Start of Period
Net Revenue Retention = (Starting Revenue + Expansion − Contraction − Churn) ÷ Starting Revenue. Above 100% means the existing base grows on its own.
Why Churn Rate matters
Churn compounds against you. Reducing monthly churn from 5% to 3% raises average customer lifespan from 20 months to 33 — a 65% increase in LTV with no change to acquisition. Retention improvements are almost always cheaper than acquisition improvements.
Where churn actually happens
In most subscription businesses, churn concentrates heavily in the first 90 days and is driven by failed activation rather than dissatisfaction with the product. Customers who never reached the moment where the product delivered value leave, and no win-back campaign fixes that. Onboarding is usually the highest-leverage retention work available.
Benchmarks
- Healthy B2B SaaS monthly churn
- under 1%
- SMB SaaS monthly churn
- 3–5%
- Strong net revenue retention
- above 110%
Ranges drawn from Digital Squad client accounts and published industry data. Treat them as orientation, not targets — your category may differ substantially.
Common mistakes
Reporting only customer churn
It weights a $50 customer identically to a $5,000 one. Report revenue churn alongside it, always.
Ignoring involuntary churn
Failed payments from expired cards cause a substantial share of subscription churn and are largely recoverable through dunning. Many teams never separate it from voluntary churn.
Averaging across cohorts
Churn is heavily front-loaded. A blended figure hides that new-customer churn is far higher than your average and obscures where to intervene.
Treating churn as a retention-team problem
Much of it is set at acquisition. Customers acquired through aggressive discounting churn at higher rates, which makes it a marketing problem too.
Where we work on this