# Churn rate: three versions, and which one to watch
> Customer churn counts logos lost, revenue churn counts dollars lost, and they diverge sharply when customers differ in size. For small self-serve SaaS, 3 to 5% monthly customer churn is normal; above 8% no amount of acquisition will outrun it.
Source: https://rankcert.com/blog/churn-rate-guide
Published: 2026-08-29 · Updated: 2026-08-29
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Churn is quoted as one number and is at least three. Which one you use changes the conclusion entirely.
## The three versions
**Customer churn** = customers lost ÷ customers at the start of the period.
**Revenue churn** = MRR lost ÷ MRR at the start of the period.
**Net revenue churn** = (MRR lost − expansion MRR) ÷ MRR at the start.
They diverge whenever customers are different sizes. Lose ten $10 customers and keep one $500 customer, from a base of eleven customers and $600:
- Customer churn: **91%**
- Revenue churn: **17%**
Both are true. Reporting only one is how a business talks itself into or out of a problem.
## Which to watch
**Small self-serve, similar plan sizes:** customer churn. It is the honest one when revenue per customer is uniform.
**Mixed plan sizes or any enterprise tier:** revenue churn. Losing your largest account matters more than losing five of your smallest.
**Once expansion revenue exists:** net revenue churn. Negative net churn - expansion exceeding losses - means revenue grows with no new customers at all, which is the strongest position in SaaS.
## What is normal
Rough monthly figures for self-serve products:
| Segment | Monthly customer churn |
|---|---|
| Consumer / prosumer | 5–10% |
| SMB self-serve | 3–7% |
| Mid-market | 1–2% |
| Enterprise | under 1% |
Above 8% monthly for an SMB product means roughly two-thirds of your customers are gone within a year. No acquisition rate outruns that, and every dollar spent on marketing leaks straight back out.
## Voluntary versus involuntary
**Involuntary churn** - failed payments, expired cards - is typically 20 to 40% of total churn and is the cheapest thing on this list to fix. Dunning emails, card-expiry warnings and smart retry schedules recover a large share of it.
If you have never separated the two, do that before working on anything else. It is common to find a third of your churn is a billing problem rather than a product problem.
## Churn is not constant
The simple LTV formula assumes a constant churn rate. It is not - churn is highest in the first weeks and falls with tenure.
That is why cohort retention curves are worth more than a single rate. A cohort that loses 40% in month one and 3% a month afterwards has a completely different economic profile from one that loses 8% every month, even though the blended rate can look similar.
If most of your churn is in the first two weeks, you have an onboarding problem, not a retention problem, and they need different fixes.
## What actually reduces it
In rough order of effect:
1. **Fix involuntary churn.** Retries and dunning. Pure recovery, no product work.
2. **Fix the first week.** Most cancellations are decided before the customer ever reached the value.
3. **Sell to the right people.** A large share of churn is customers who were never a fit and were sold anyway.
4. **Add expansion paths.** Not churn reduction exactly, but it offsets churn in the net number and is often easier.
5. **Annual plans.** They convert twelve churn decisions into one.
Before optimising anything, split churn into voluntary and involuntary and plot retention by cohort. A single blended monthly percentage hides which of four different problems you actually have.