This free churn rate calculator gives you the two numbers every subscription business should track side by side: customer churn (how many accounts you lost) and revenue churn (how much money walked out the door with them). Enter your starting customer count, how many you lost and gained, and β if you want the full picture β your starting MRR plus what you lost and gained from existing accounts. The tool returns your monthly churn rate, an annualised projection, your average customer lifetime, revenue churn, and net revenue retention (NRR), all at once.
Churn is the quiet number that decides almost everything else in a subscription business. It sets how long the average customer stays, which sets lifetime value, which sets how much you can afford to spend acquiring the next one. At Arb Digital we treat churn as a leading indicator, not a lagging report card β the earlier a SaaS or subscription client catches a churn creep, the cheaper it is to fix.
What This Churn Rate Calculator Does
Most churn calculators stop at a single percentage. This one deliberately separates customer churn from revenue churn because they answer different questions. Customer churn tells you how many logos you lost. Revenue churn tells you how much that actually cost you β and the two can diverge wildly. Losing 35 tiny self-serve accounts out of 1,000 might barely dent your revenue. Losing three enterprise accounts could gut it. A calculator that only reports "3.5% churn" hides which of those two stories you're living.
The tool also computes net revenue retention, arguably the single most important number in modern SaaS reporting, because it captures churn and expansion in one figure β and tells you whether your existing customer base is growing or shrinking on its own, with zero new sales.
How to Use It
- Customers at start of period. The number of active, paying customers you had at the beginning of the month (or whatever period you're measuring).
- Customers lost. The number who cancelled or fully downgraded to $0 during the period β this is your churned count.
- New customers gained. New paying customers added during the same period. This doesn't affect the churn rate itself but is used for context and for the lifetime figure to make sense against your growth.
- MRR at start (optional). Your monthly recurring revenue at the beginning of the period. Add this to unlock revenue churn and NRR.
- MRR lost / expansion MRR. How much recurring revenue you lost from cancellations and downgrades, and how much you gained from existing customers upgrading, adding seats, or buying more.
- Click Calculate. Your monthly churn rate, annualised churn, average customer lifetime, revenue churn, and net revenue retention all update instantly.
The Formula / How It's Calculated
Customer churn rate is the simplest and most widely used formula in subscription analytics:
Customer churn rate = Customers lost Γ· Customers at start of period Γ 100
Lose 35 customers out of 1,000 and your monthly churn rate is 3.5%. Revenue churn follows the same logic but swaps customer counts for dollars:
Revenue churn rate = MRR lost Γ· MRR at start of period Γ 100
Net revenue retention takes it one step further by netting expansion revenue against what you lost:
NRR = (Starting MRR β MRR lost + Expansion MRR) Γ· Starting MRR Γ 100
This calculator also derives average customer lifetime as the simple inverse of monthly churn (1 Γ· monthly churn rate, in months) β a standard approximation used across the industry, including by benchmarking sources like OpenView Partners and Bessemer's Cloud Index, both of which track churn and retention benchmarks across hundreds of SaaS companies.
Why Customer Churn and Revenue Churn Tell Different Stories
This is the part most "churn calculators" skip entirely, and it's the part that actually matters for decision-making. Imagine two companies, both with 1,000 customers and both losing 35 of them in a month β an identical 3.5% customer churn rate on paper.
- Company A loses 35 customers on the $29/month starter plan. Revenue impact: roughly $1,015 out of, say, $80,000 in MRR β about 1.3% revenue churn. Barely a scratch.
- Company B loses 3 enterprise customers averaging $8,000/month, plus 32 small ones. Revenue impact: over $24,000 out of the same $80,000 MRR β 30% revenue churn. That's an emergency.
Same customer churn number, wildly different business realities. Whenever the gap between customer churn and revenue churn is large, it's a signal about where your churn is concentrated β and it tells you where to spend your retention effort. If revenue churn is consistently higher than customer churn, your biggest accounts are the ones at risk, and that deserves a dedicated customer success motion, not a generic win-back email.
Net Revenue Retention: The Holy Grail Metric
Net revenue retention (NRR) answers a single, powerful question: if you stopped selling to new customers today, would your revenue from existing customers grow, shrink, or stay flat over the next year? An NRR above 100% means the answer is "grow" β your existing base is expanding faster than it's churning, purely from upgrades, cross-sells, and seat growth. That's the closest thing SaaS has to a perpetual motion machine, because it means growth compounds even in a slow new-sales quarter.
Public SaaS benchmarks compiled by growth-equity investors like OpenView generally put "good" NRR in the 100β110% range, "great" above 120%, and anything below 90% as a genuine red flag worth investigating immediately. If your NRR is under 100%, your product or pricing has a leak that new-customer growth is currently masking β and that leak gets more expensive to fix the longer it's ignored.
Why Churn Quietly Sets Your LTV
Customer lifetime value is, at its core, built on top of your churn rate. The simplified LTV formula β average revenue per account divided by churn rate β means churn sits in the denominator of one of your most important numbers. Drop your monthly churn from 3.5% to 2.5%, and you don't just improve retention by a single percentage point; you extend average customer lifetime from roughly 28.6 months to 40 months, a 40% increase that flows straight through to LTV, to your LTV:CAC ratio, and to how much you can profitably spend acquiring the next customer. This is why even a small, unglamorous churn improvement β a better onboarding email, a proactive check-in at day 30 β often moves the needle on growth more than a flashy new acquisition channel.
Because churn compounds this way, we usually run this churn rate calculator alongside a full customer lifetime value calculator for clients β churn tells you the trend, LTV tells you the dollar impact.
Monthly vs. Annualised Churn β Don't Just Multiply by 12
A common mistake is multiplying monthly churn by 12 to get an annual figure. That overstates the real number, because it ignores the compounding effect of a shrinking base β each month, churn applies to a smaller remaining pool of customers, not the original starting count. This calculator annualises churn using the standard compounding approach: 1 β (1 β monthly churn)^12, which is always a bit lower than the naive multiplication and much closer to what you'll actually observe over a full year.
A rising churn number is almost always a growth-marketing and retention-marketing problem before it's a product problem β weak onboarding, no re-engagement flows, or customers who never got to their "aha moment." Arb Digital builds retention and lifecycle marketing programs for SaaS companies designed to move this exact number.
See Growth & Retention Marketing Talk to Arb DigitalCommon Mistakes to Avoid
- Ignoring revenue churn entirely. Customer churn alone can hide a serious enterprise-account problem.
- Multiplying monthly churn by 12. This overstates annual churn β use compounding, not simple multiplication.
- Counting downgrades as full churn (or ignoring them). A customer who drops from $500/month to $50/month hasn't churned, but they have contracted β that belongs in revenue churn, not customer churn.
- Comparing your churn to the wrong benchmark. SMB and self-serve SaaS naturally run higher monthly churn (2β5%+) than enterprise SaaS (well under 1%) β compare against companies with a similar customer profile.
- Forgetting expansion revenue. Without it, you can't calculate NRR, and NRR is often the more decision-useful number of the two.
Related Free Tools From Arb Digital
Pair this with the MRR calculator to see exactly which movements β new, expansion, contraction, churn β built your ending MRR, or the ARR calculator to project your annualised revenue forward. For the full picture in one dashboard, use the SaaS metrics calculator, and once you know your churn, feed it into the customer lifetime value calculator and LTV:CAC ratio calculator to see how it affects what you can afford to spend acquiring customers. Browse every calculator in our free online tools hub.
Frequently Asked Questions
For small business and self-serve SaaS, 3β5% monthly churn is common and often considered acceptable. For mid-market SaaS, 1β2% monthly is a healthier target, and for enterprise SaaS with annual contracts, well under 1% monthly (often under 10% annually) is the norm. Always compare against companies with a similar customer size and contract length.
Customer churn measures the percentage of customers who cancelled. Revenue churn measures the percentage of recurring revenue lost. They diverge when the customers who leave have a different average value than the customers who stay β losing a handful of large accounts can produce high revenue churn even with low customer churn.
Churn only looks at what you lost. Net revenue retention nets losses against expansion revenue from existing customers (upgrades, seat growth, cross-sells). An NRR above 100% means your existing customer base is growing in dollar terms even without any new sales, which churn alone can never show.
Average customer lifetime in months is approximately 1 Γ· monthly churn rate. At 3.5% monthly churn, that's 1 Γ· 0.035 β 28.6 months. It's a simplified approximation that assumes a constant churn rate, but it's the standard shorthand used across the SaaS industry for quick LTV estimates.
Because churn compounds against a shrinking customer base each month. Simple multiplication overstates the true annual figure. This calculator uses the standard compounding formula, 1 minus (1 minus monthly churn) raised to the 12th power, which more accurately reflects what you'll observe over a full year.
Not necessarily. High early-stage churn is common while you're still finding product-market fit, and some business models (low-price, self-serve, month-to-month) structurally carry higher churn than annual-contract enterprise deals. What matters most is the trend over time and how your churn compares to companies with a similar customer profile and price point.