Churn quietly caps your growth. Enter your starting customers and how many you lost in the period, and this gives your churn and retention rate — the number every subscription business should watch.
Count only customers who were there at the start and left during the period. Customers who signed up and left within the period belong to another cohort.
What this free tool is great for: a quick, one-off job with no signup — it runs in your browser and there's nothing to manage.
Its honest limit: you can compare up to three scenarios during this visit, but they are not kept after you leave, they won't update as your real numbers change, and this tool does not connect to your live accounts.
Churn compounds against you, quietly and relentlessly. At 5% monthly churn you lose nearly half your customers over a year just standing still; at 2% the leak is far gentler. Because growth is whatever's left after churn, a high rate means running up a down escalator — pouring new customers in the top just to replace the ones falling out the bottom.
Not all churn is equal. Logo churn counts customers lost; revenue churn counts money lost — and they diverge if small accounts leave while big ones stay, or the reverse. Net revenue churn subtracts expansion from your existing base, and the holy grail is negative net churn: remaining customers grow their spend faster than others cancel, so revenue rises even if you add no one new.
The number says there's a leak; it doesn't say where. Segment churn by cohort, plan and reason. Voluntary churn (people who chose to leave) points at value or fit; involuntary churn (failed payments) is often a quiet 20–40% of the total that a simple dunning fix recovers. Talk to the people who leave — the reasons cluster, and a handful of fixes usually plugs most of the hole.
Reducing churn is almost always cheaper than acquiring new customers to cover it, because you've already paid to win the ones you have. The highest-leverage work is early (onboarding and time-to-value) and at the moments of risk — a support failure, a renewal, a price change. Fix the reasons people leave before spending more to fill the top of the funnel.
Losing 5% of customers is not the same as losing 5% of revenue. If your churners are mostly small accounts, customer churn can look alarming while revenue churn stays mild; if a big account leaves, the reverse. Compute both: customer (logo) churn tells you about product-market fit across the base, revenue churn tells you about the money. The gap between them is itself a diagnostic — high logo churn with low revenue churn means your small-tier customers don't stick, which might be fine (or might be your future mid-market pipeline evaporating). Investors will ask for both; you should know both before they ask.
Small monthly percentages hide brutal annual arithmetic: 5% monthly churn compounds to losing roughly 46% of your base in a year; 3% monthly is about 31% annually. This is why "just a few percent" is never just a few percent, and why growth targets must be read against the leak — at 5% monthly churn and 1,000 customers, the first 50 new customers each month merely refill the bucket. Run your own numbers through the calculator both monthly and annualised; the annual figure is usually the wake-up call, and it reframes retention work from "nice to have" to the cheapest growth channel you own.
A meaningful slice of churn — often a quarter or more in subscription businesses — is nobody deciding to leave: cards expire, payments fail, emails bounce. This involuntary churn is the easiest revenue you'll ever recover: dunning sequences (smart retry schedules plus polite emails), card-updater services, and in-app payment-failure banners routinely claw back most of it. Separate the two kinds in your reporting before drawing conclusions about product problems — a "churn spike" that's actually a payment-processor hiccup needs a very different fix than genuine cancellations.
Voluntary churn is a product-and-expectations problem; involuntary churn is a billing-plumbing problem with an off-the-shelf solution.
Averaged churn hides its timing, and timing is the diagnosis. Churn concentrated in the first month points at onboarding: people never reached the value they signed up for. Churn around month three or four suggests the value was real but ran out or got forgotten — a habit-formation problem. A spike at annual renewal is a price-value reassessment. Cohort retention curves (our cohort calculator draws them) make this visible instantly: the shape of the curve — cliff then flat, or steady slide — is worth more than any single percentage, because each shape prescribes a different intervention.
The most valuable churn number is the one that goes below zero. Net revenue churn subtracts expansion (upgrades, extra seats, add-ons) from losses — and when expansion outweighs cancellations, you have negative churn: the existing base grows by itself before a single new customer signs. It's the engine behind the best SaaS economics, because it compounds in your favour exactly the way ordinary churn compounds against you. The practical implication: retention work isn't only about preventing exits; it's equally about building the upgrade paths that let happy customers pay you more.
If your product has no natural expansion lever — seats, usage, tiers — that's a pricing-design gap worth fixing before the next acquisition push. Run your numbers in the calculator both gross and net of expansion — the distance between those two lines is your expansion engine, and watching it widen is one of the most satisfying charts in SaaS.
A figure often quoted for SaaS is 5% a month or lower, but what is normal depends on who you sell to: plans for small businesses and consumers churn faster than annual enterprise contracts. The calculator therefore shows the rate without a verdict. Compare your own rate over time, measured the same way and over the same period.
Customers from the starting group lost during the period, divided by the customers at the start, as a percentage. Retention of that group is 100% minus churn. Customers who joined during the period are left out, so the result stays between 0% and 100%.
Keeping a customer is usually far cheaper than winning a new one, and lower churn lets every new customer add to growth instead of plugging a leak.
The pricing behind our reviews is published as an open dataset, with the sentence behind every cost-trap flag and the date it was researched. Free to use with attribution (CC BY 4.0).
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