What is a good churn rate?
There is no universal good churn rate. It turns on the period you measure and the kind of business you run, and monthly churn compounds fast.
By the GrowthCalc team · Updated June 2026
What counts as a good churn rate
Churn rate is the share of customers who leave over a period: customers lost divided by the customers you started with, as a percentage. A 5% monthly churn rate means 5 out of every 100 customers cancelled that month. Lower is better, because every percentage point of churn is revenue you have to replace before you can grow.
A figure at or under roughly 5% per period is the rule of thumb most people reach for when they call churn healthy, which is also the line GrowthCalc uses as a default gut check. But that number means nothing until you pin down two things: the period it covers and the kind of business it describes. The same 5% is a triumph over a year and a warning over a month, and the same 5% is normal for a consumer app and alarming for enterprise software. Treat any benchmark you read as a convention to sanity-check against, never a target handed down as fact.
Why the period changes everything
Churn compounds. A monthly churn rate does not simply multiply by twelve to give the annual figure: each month the loss applies to the customers who are still left, so it stacks. The honest way to compare a monthly rate to a year is to compound it, which is why a monthly number that looks small turns into a much larger annual loss.
The table shows the same headline churn rate read as a monthly figure, then compounded across twelve months into the share of a starting cohort still retained at year end.
| Monthly churn | Retained after 12 months | Lost over the year |
|---|---|---|
| 2% | ~78% | ~22% |
| 5% | ~54% | ~46% |
| 10% | ~28% | ~72% |
The math is (1 minus the monthly rate) raised to the power of twelve. At 2% monthly you keep about 78 of every 100 customers after a year; at 5% you are down to roughly 54; at 10% only about 28 are left. So 5% monthly churn is not a near-miss on 5% annual churn, it is almost ten times the customer loss. This is the single biggest reason a churn number is meaningless without its period attached.
Good churn by business model
What counts as good shifts with how much your customers commit and how often they pay. The broad pattern, stated as conventions rather than fixed thresholds:
- B2B SaaS, especially enterprise. The lowest churn of all. Annual contracts, procurement friction and deep workflow integration mean good looks like low single-digit annual churn, and the best businesses run net revenue retention above 100% because expansion outpaces losses. Monthly churn here should be a fraction of a percent.
- SMB and self-serve SaaS. Higher than enterprise because small businesses fail and switch more freely. Monthly churn in the low single digits is a common healthy range; the more month-to-month and low-commitment the plan, the higher churn tends to run.
- Consumer subscriptions and apps. Highest of the three. Month-to-month plans, impulse signups and easy cancellation push churn up, and a monthly rate that would be a crisis in enterprise SaaS can be ordinary for a consumer app.
The takeaway is to compare yourself against your own model, not a single industry-wide number. A churn rate is only good or bad relative to businesses that sell the way you do.
What a 20% churn rate means
A 20% churn rate means one in five of the customers you began the period with had cancelled by the end of it. Start a month with 1,000 customers, lose 200, and that is 20% monthly churn. Whether that is a disaster depends, again, on the period.
As a monthly figure, 20% is severe. Compounded across a year it would leave you with under 10% of a starting cohort, meaning you replace your entire customer base several times over just to stand still. For most subscription businesses that points to a fundamental problem with the product or the fit between what you sell and who you sell it to. As an annual figure, 20% is high but far from fatal, and is within normal range for plenty of consumer products with low switching costs.
Retention is simply churn turned around: if 20% churn, 80% stay. You can confirm the flip side of any churn figure with the retention rate calculator.
What causes a high churn rate
High churn is rarely one thing, but most causes come back to value: the customer is not getting enough out of the product to justify staying. The common drivers:
- Weak onboarding and slow time to value. Customers who never reach the moment the product pays off for them leave fastest, which is why churn is usually heaviest in the first weeks.
- A promise the product does not keep. When marketing oversells, the gap between expectation and reality shows up as churn soon after signup.
- Price outrunning value. Customers who stop seeing enough return for what they pay cancel, especially when a cheaper or free alternative exists.
- Poor support and unresolved friction. Repeated unsolved problems erode the relationship over time.
- Involuntary churn. Failed card payments and expired cards quietly cost customers who never meant to leave, and often go unmeasured.
How to reduce churn
Because most churn is a value problem, the fixes that move it most get customers to value sooner and keep them seeing it. A practical order:
- Fix the first 30 days. Early churn is an activation problem. Identify the one action that predicts staying, then design onboarding so every new customer reaches it fast, and reach out to accounts that stall before they get there.
- Track value realisation, not raw logins. Watch whether customers hit the outcome they signed up for, and step in when usage signals they are drifting.
- Separate voluntary from involuntary churn. Recover failed payments with retries and dunning before assuming a customer chose to leave.
- Watch churn by cohort. A blended rate hides the story; tracking each signup cohort shows whether your changes are actually moving retention.
Small movements in churn compound into large differences in customer lifetime, which is why churn feeds directly into how much a customer is worth: a lower churn rate means a longer lifespan and a higher lifetime value. See how the two connect with the LTV calculator, and measure your live churn against its benchmark with the churn rate calculator.
Frequently asked questions
Is a 5% churn rate good?
It depends entirely on the period. A 5% annual churn rate is excellent and means you keep 95% of customers each year. A 5% monthly churn rate is a different story: compounded over twelve months it loses about 46% of your customers in a year, which is high for B2B subscription software though closer to normal for a low-commitment consumer app. Always check whether a 5% figure is monthly or annual before reading it as good or bad.
What does a 20% churn rate mean?
A 20% churn rate means one in five of the customers you started the period with had left by the end of it. If you started a month with 1,000 customers and 200 had cancelled by month end, that is 20% monthly churn. At 20% per month you would retain only about 9% of a cohort after a year, so for a subscription business it signals a serious retention problem. As an annual figure, 20% is high but survivable for many consumer products.
What causes a high churn rate?
High churn usually traces back to weak value realisation: customers sign up but never reach the moment the product pays off for them. Common drivers are a confusing onboarding, a mismatch between what marketing promised and what the product delivers, poor support, a price that outruns the value delivered, and missing features a competitor has. Involuntary churn from failed card payments is another quiet cause that often goes unmeasured.
How do you reduce churn in the first 30 days?
Early churn is almost always an onboarding and activation problem, so focus on getting new customers to first value fast. Define the one action that correlates with staying (the activation moment), then redesign onboarding to drive every new user to it quickly. Reach out to accounts that stall before that moment, and watch the cohort that signed up in the last 30 days separately from your overall base so you can see whether onboarding changes are working.