What Is a Good Churn Rate? Benchmarks by Industry
Churn benchmarks vary dramatically by business type. Here is what good looks like across SaaS, B2C subscriptions, and eCommerce — and what to do when your number is off.
A 5% monthly churn rate is catastrophic for a SaaS company and completely normal for a consumer subscription box. Context is everything with churn, and comparing your number to the wrong benchmark is one of the most reliable ways to draw the wrong conclusions from accurate data.
This article gives you the benchmarks — by business type, by market segment, and in both monthly and annual terms — along with the caveats that make those benchmarks useful rather than misleading.
Churn benchmarks by business type
| Business type | Monthly churn | Annual churn | Rating |
|---|---|---|---|
| SaaS — SMB market | 3–5% | 31–46% | Typical |
| SaaS — SMB, best-in-class | <2% | <22% | Strong |
| SaaS — Enterprise / mid-market | 0.5–1% | 6–12% | Typical |
| SaaS — Enterprise, best-in-class | <0.5% | <6% | Strong |
| B2C Subscription (media, fitness, software) | 5–8% | 46–64% | Typical |
| B2C Subscription, best-in-class | 2–4% | 22–40% | Strong |
| eCommerce (repeat purchase rate) | n/a | 60–75% annual retention | Typical |
| eCommerce, best-in-class | n/a | >80% annual retention | Strong |
A 3% monthly churn rate sounds manageable. Annualised, it is 31% — meaning you replace nearly a third of your customer base every year just to stay flat. Always convert monthly churn to annual when communicating with investors or setting retention targets. The monthly number obscures the compounding effect that makes churn so destructive to long-term growth.
Why enterprise SaaS churn is so much lower
The dramatic difference between SMB and enterprise churn rates — often five to ten times lower for enterprise — reflects several structural factors. Enterprise contracts are typically annual or multi-year, so there are fewer cancellation opportunities. Switching costs are higher: integrations are deeper, institutional knowledge is embedded, and migration risk is real. The sales process is longer, which means better-fit customers arrive. And enterprise customers typically have dedicated account management that identifies and resolves at-risk situations before they become cancellations.
None of this means enterprise customers are inherently more satisfied — it means the structural conditions of the relationship make churn harder to execute. The implication for pricing is significant: the higher switching cost of enterprise contracts justifies higher price points, which justifies higher CAC, which changes the entire unit economics model.
A 3% monthly churn rate sounds manageable. Annualised, it is 31%. Always convert before presenting — the monthly number obscures exactly the compounding effect that makes churn so destructive.
How to calculate your churn rate correctly
The simple formula: divide the number of customers lost in a period by the number of customers at the start of that period. If you started January with 500 customers and ended with 480, you lost 20, for a churn rate of 4%. The denominator matters — always use the starting count, not the ending count, and not an average of the two (which some tools default to and which produces a slightly different number).
Revenue churn is often more important than customer churn for subscription businesses. If you lose ten small customers but retain your ten largest, customer churn looks bad but revenue churn is fine. Net revenue retention — which includes expansion revenue from existing customers — can actually be negative (in the good direction) even while customer churn is positive. A business with 110% net revenue retention is growing its revenue from existing customers even as it loses some of them.
The most dangerous benchmark comparison is using SaaS enterprise figures to evaluate an SMB product, or using B2C numbers to assess a B2B business. Your total addressable market, average contract value, sales motion, and product complexity all determine which benchmark applies. If your business has characteristics of multiple segments — say, a prosumer product that straddles B2C and SMB — build a blended benchmark from both rather than picking whichever makes your number look better.
Churn is one of the metrics that benefits most from a consistent, documented calculation methodology. In FabricLoop, finance and ops teams often maintain a pinned note defining exactly how churn is calculated — which customers count, what the denominator is, how trial cancellations are handled — alongside the monthly results. When the methodology is documented alongside the number, new team members can audit past data and the conversation shifts from "is this right?" to "what does this mean?" That shift is where the actual work of reducing churn begins.
