Churn rate is the percentage of customers or revenue lost over a set period. The basic formula is customers lost during the period divided by customers at the start of the period, multiplied by 100. If you begin the month with 500 customers and lose 15, your monthly churn rate is 3 percent. Revenue churn uses the same structure with dollars instead of logos, and usually tells a truer story about the health of the business.
Churn rate is the most reported and most misread metric in subscription operations. It looks like one number and behaves like several. Teams calculate it on customer counts while their revenue tells a different story, compare their figure to a benchmark drawn from a different business model, and then annualize it by multiplying by twelve, which understates the real loss by a wide margin.
This guide covers the formulas, a worked calculation, when to use the adjusted version, what a good churn rate looks like by industry, and the compounding math that most dashboards get wrong.
What is churn rate?
Churn rate, also called attrition rate, measures the proportion of customers who stop doing business with you during a defined period. In a subscription business it counts cancellations and non renewals. In a transactional business it counts customers who did not return within a period long enough to signal they are gone.
Customer churn is the mirror image of customer retention: if your monthly retention rate is 97 percent, your monthly churn rate is 3 percent. They describe the same event from opposite directions, and teams tend to report churn because a small number that should get smaller is easier to manage against than a large number that should get larger.
What is the churn rate formula?
There are four formulas worth knowing. They answer different questions, and reporting only the first is how a business convinces itself it is fine while its revenue quietly leaves.
| Metric | Formula | Worked example |
|---|---|---|
| Customer churn rate | (Customers lost / customers at start) x 100 | 15 / 500 = 3.0% |
| Gross revenue churn | (MRR lost / MRR at start) x 100 | $3,000 / $100,000 = 3.0% |
| Net revenue churn | ((MRR lost minus expansion MRR) / MRR at start) x 100 | ($3,000 minus $4,000) / $100,000 = negative 1.0% |
| Adjusted churn (high growth) | (Customers lost / average of start and end counts) x 100 | 15 / ((500 + 560) / 2) = 2.8% |
Net revenue churn can go negative, and negative net churn is the strongest signal in subscription software: the customers who stayed expanded by more than the ones who left took with them. A company with 3 percent customer churn and negative 1 percent net revenue churn is growing without acquiring anyone.
How to calculate churn rate step by step
Pick the period. Monthly for self serve and high volume subscriptions, quarterly or annual for enterprise contracts where a month contains almost no renewal events. Whatever you choose, do not switch it later without relabeling the history.
Count customers at the start of the period. Use the count on day one, before any new signups. Decide once whether trials, free accounts, and paused subscriptions belong in the denominator, write it down, and never quietly change it.
Count customers lost during the period. Exclude anyone who joined and left within the same period if you want a stable series, or include them and accept a noisier number. Consistency beats theoretical purity.
Divide and multiply by 100. With 500 customers on the first of the month and 15 cancellations, churn is 15 divided by 500, or 3.0 percent.
Repeat with dollars. Replace customer counts with monthly recurring revenue. If the 15 customers who left were your smallest accounts, revenue churn will be well below 3 percent. If two of them were your largest, revenue churn could be 12 percent while your customer churn still reads 3 percent, and only one of those numbers matters to your finance team.
Switch to the adjusted formula, which divides by the average of the opening and closing customer counts, once new customers regularly exceed roughly 10 percent of your opening count. In a fast growing month the simple formula flatters you, because customers who joined mid period are exposed to churn but were never in the denominator.
What is a good churn rate?
The honest answer is that a good churn rate is one that lets you recover your acquisition cost with margin left over, and no external benchmark can tell you that. Published 2026 benchmark roundups do converge on some rough ranges, which are useful for sanity checking rather than target setting.
| Segment | Commonly reported monthly churn | Notes |
|---|---|---|
| Enterprise B2B SaaS | Under 1% | Annual contracts, high switching cost |
| Mid market B2B SaaS | Roughly 1% to 2% | Under 2% monthly is the usual "good" threshold |
| SMB and self serve SaaS | Roughly 3% to 7% | Credit card churn, low switching cost |
| Infrastructure and developer tools | Low, near 2% | Embedded in workflows, hard to remove |
| Communication and productivity tools | High, often above 7% | Abundant substitutes, easy to leave |
| DTC subscription ecommerce | Roughly 6% to 9% | Higher in beauty, food, and wellness verticals |
Two cautions. Cross industry churn benchmarks are compiled from self reported data with inconsistent definitions, so treat them as ranges, not scores. And a blended company wide figure usually hides the only thing you needed to know. Split churn by plan, segment, acquisition channel, and signup cohort before you draw a single conclusion from it.
Customer churn vs revenue churn
Customer churn counts logos. Revenue churn counts dollars. They diverge whenever your customers are not the same size, which is always.
If small accounts churn most, customer churn looks alarming and revenue churn is mild; the business is fine and the self serve funnel needs work. If a handful of large accounts leave, customer churn barely moves while revenue churn spikes; the business is in trouble and the customer count says nothing is wrong. Report both, always, side by side. Net revenue churn, which subtracts expansion from the loss, is the version that tells you whether the customers you kept are growing fast enough to cover the ones you lost.
Why you should not multiply monthly churn by 12
Churn compounds. Each month it applies to a base that already shrank. Annualizing by multiplication treats the loss as linear and consistently overstates the annual figure at high rates while giving people a false sense of precision at low ones.
The correct conversion is: annual churn = 1 minus (1 minus monthly churn) raised to the power of 12.
| Monthly churn | Naive x 12 | Actual annual churn |
|---|---|---|
| 1% | 12% | 11.4% |
| 2% | 24% | 21.5% |
| 3% | 36% | 30.6% |
| 5% | 60% | 46.0% |
| 8% | 96% | 63.2% |
The 5 percent row is the one worth internalizing. A 5 percent monthly churn rate means you lose 46 percent of your customer base in a year, not 60 percent, but it also means that in roughly fourteen months you have replaced half your business. That is a treadmill, not a growth engine.
Voluntary vs involuntary churn
Voluntary churn is a decision: the customer chose to leave. Involuntary churn is an accident: an expired card, a bank decline, an address mismatch, a failed retry. The customer never decided anything and frequently does not know they are gone.
Involuntary churn commonly accounts for a substantial share of cancellations in card billed subscription businesses, and it is the cheapest churn to fix because there is no objection to overcome. Card account updater services, an intelligent retry schedule that avoids weekends and paydays, and a short sequence of dunning emails recover a large part of it. Before you invest a quarter in reducing voluntary churn, measure how much of your churn is involuntary. Many teams discover they have been treating a payments plumbing problem as a loyalty problem.
How to reduce churn rate
Diagnose before you treat. Split churn by cohort and by reason, then attack the largest segment. Almost every reduction plan lands on one of a small number of levers: get customers to value faster during onboarding, remove the billing and invoicing friction that erodes trust, resolve support issues on the first contact instead of the third, and reach at risk accounts before they go quiet. The tactics behind each of these are covered in depth in our guide to customer retention strategies.
Then instrument the leading indicators, because churn rate is a lagging metric that confirms an outcome you can no longer change. First week activation, support ticket reopen rate, invoice dispute rate, and login frequency all move weeks before a cancellation. Together they form the set of operational metrics that predict churn, and they are the only ones you can still act on. Survey instruments such as CSAT and NPS add sentiment to the picture, but usage data will usually warn you first.
Finally, learn from the customers who leave. A short, honest exit question inside a clean customer offboarding process produces better churn intelligence than any model, because departing customers have no reason left to be polite. Churn is ultimately a readout of how well the unglamorous machinery works, which is why we treat customer experience operations as the place the number is actually determined, and why the back office decides the experience.
Frequently asked questions about churn rate
What is the formula for churn rate? Churn rate equals the number of customers lost during a period divided by the number of customers at the start of that period, multiplied by 100. For revenue churn, substitute recurring revenue for customer counts. In fast growing businesses, divide by the average of the opening and closing customer counts instead, so that customers acquired mid period are represented fairly.
How do you calculate monthly churn rate? Take your customer count on the first day of the month, count how many of those customers cancelled before the last day, divide the second number by the first, and multiply by 100. Starting with 500 customers and losing 15 gives a monthly churn rate of 3 percent. Keep the treatment of trials and paused accounts identical every month or the series is meaningless.
What is a good monthly churn rate for SaaS? Most published benchmarks place a good SaaS monthly churn rate under 2 percent, which corresponds to roughly 21.5 percent annually once compounding is applied. Enterprise products with annual contracts commonly run below 1 percent, while self serve SMB products often sit between 3 and 7 percent without that being a crisis. Compare against your own cohorts and payback period rather than a headline figure.
Is a 5 percent churn rate good? Five percent per month is high for B2B software and unremarkable for a consumer subscription. It means losing 46 percent of your customers over a year, so the business must acquire almost half its base annually just to stand still. Five percent per year, by contrast, is excellent in nearly any model. Always state the period.
What is the difference between churn rate and retention rate? They are complements of each other over the same period and the same population: retention rate plus churn rate equals 100 percent. Retention rate counts the customers who stayed, churn rate counts the ones who left. Revenue based versions break that symmetry, because net revenue retention includes expansion from existing customers and can exceed 100 percent while customers are still churning.