What Is Churn Rate? Definition, Formula, and Benchmarks
Churn rate is the percentage of customers — or of revenue — you lose over a set period. You calculate it by dividing the number of customers lost during the period by the number you had at the start. It is the mirror image of retention: whatever share of customers doesn't stay, churns.
Quick Answer: Churn rate = customers lost during a period ÷ customers at the start of that period, expressed as a percentage. Track it monthly or annually, and split it into customer churn (accounts lost) and revenue churn (dollars lost). Small churn compounds fast, which is why it's one of the most watched metrics in any subscription business.
Every subscription business leaks. Customers cancel, downgrade, stop paying, or quietly drift away, and churn rate puts a number on that leak. It is simple to calculate and easy to misread, because "churn" can mean lost accounts or lost dollars, and the two can point in opposite directions.
This guide walks the formula and a worked example, separates customer churn from revenue churn and gross from net, and explains why a small churn number quietly decides whether your growth is real. Lean Analytics by Alistair Croll and Benjamin Yoskovitz treats churn as a foundational metric for exactly this reason — it's the drain the whole business sits above.
How churn rate works: the period and the denominator
Churn rate always answers one question — what fraction of what I had at the start did I lose over this period? Two choices define it: the length of the period, and what you count in the denominator.
Pick a period and hold it steady. Churn is meaningless without a timeframe. SaaS companies typically report monthly churn for fast feedback and annual churn for board-level and planning views. The two are not interchangeable: a monthly rate compounds across the year, so a modest monthly figure implies a much larger annual loss. Always label which period a churn number refers to.
The denominator is customers at the start of the period. The standard formula counts only the customers you already had when the period began, not the ones you added along the way:
Churn rate = customers lost during period ÷ customers at start of period
New signups are usually excluded from the denominator. Mixing this period's new customers into the base flatters your churn rate — a flood of signups shrinks the ratio even if existing customers leave just as fast. Keeping the denominator to start-of-period customers isolates whether the customers you had are staying, which is the question that matters.
Customer churn vs revenue churn vs net churn
Churn splits along two independent axes: what you're counting (customers or dollars) and whether you offset losses with expansion (gross or net). Confusing these is the most common churn mistake, so it's worth pinning them down.
Customer churn (logo churn) counts lost accounts. It treats every customer as equal — one cancellation is one unit of churn whether they paid a little or a lot. It signals the health of the relationship and how sticky the product is.
Revenue churn counts lost dollars. It weights each departure by what that customer was worth, so losing one large account can outweigh dozens of small cancellations. That makes it the truer read on financial health, which customer churn alone can hide.
Gross churn only counts losses; net churn subtracts expansion. Gross revenue churn is the revenue lost from cancellations and downgrades. Net revenue churn subtracts the expansion revenue gained from existing customers upgrading. When expansion outruns losses, net churn goes negative — equivalently, net revenue retention climbs above 100%, meaning your existing base grows even if you never add a single new customer.
The table below contrasts the two most consequential distinctions. Figures are illustrative, not benchmarks.
| Dimension | Customer (logo) churn | Revenue churn |
|---|---|---|
| Unit counted | Accounts lost | Dollars lost |
| Weights big vs small accounts | No — all equal | Yes — by contract value |
| Best signal for | Product stickiness, relationship health | Financial impact, monetization health |
| Gross vs net | Usually reported gross | Reported gross and net (net can be negative) |
| Can look healthy while the other looks bad | Yes | Yes |
Takeaway: Customer churn and revenue churn measure different things and can disagree — you might lose many small accounts (high logo churn) while net revenue grows from expansion. Watch both, and always state whether a revenue figure is gross or net.
Worked example: calculating monthly churn
A concrete calculation makes the formula stick. All numbers here are hypothetical, chosen to illustrate the math — not benchmarks.
Suppose you begin the month with 200 customers. During the month, 10 of them cancel. You also sign 30 new customers, but — following the rule above — new signups stay out of the churn denominator.
Customer churn rate = 10 lost ÷ 200 at start = 5% monthly customer churn.
Now weight it by money. Say those 200 customers represented $40,000 in monthly recurring revenue at the start, and the 10 who cancelled accounted for $3,000 of it. Meanwhile, existing customers who stayed upgraded, adding $1,500 in expansion.
- Gross revenue churn = $3,000 lost ÷ $40,000 at start = 7.5%.
- Net revenue churn = ($3,000 − $1,500) ÷ $40,000 = 3.75%.
Logo churn (5%), gross revenue churn (7.5%), and net revenue churn (3.75%) are all different for the same month. The customers who left were worth more than average, so revenue churn exceeded customer churn — but expansion cut the net figure roughly in half. One month, three legitimate churn numbers, each answering a different question.
Churn rate vs retention rate: two views of the same movement
Churn rate and retention rate are two sides of one coin: for any period, retention + churn = 100%. If 95% of customers stay, 5% churned. "95% retention" and "5% churn" describe the identical outcome, but churn puts the leak front and center — often the more motivating framing for a team trying to plug it.
Churn is a single-period rate; the retention curve shows the shape over time. A one-month churn figure is a snapshot. Plotting retention across many periods produces a retention curve, and whether that curve eventually flattens — rather than sliding to zero — is one of the clearest signals of product-market fit. A flattening curve means a stable core has stopped churning; a curve that never flattens means you're refilling a bucket with a permanent hole.
Why churn matters before you spend on growth
Churn deserves outsized attention because it compounds, and it caps your growth ceiling. A leaky bucket doesn't just lose water — it forces you to pour faster and faster just to stay level.
Small churn compounds into large losses. Because each period's churn applies to the customers who remain, a modest monthly rate erodes a cohort steadily over a year. High churn means a growing share of your acquisition spend goes to replacing lost customers instead of adding net-new ones — you're running to stand still.
Churn sets a hard ceiling on scale. At a steady acquisition pace, growth flattens where new customers roughly equal churned ones. Lower churn raises that ceiling; high churn can cap a business well below where its top-of-funnel would take it. This is why Lean Analytics urges founders to fix the leak before opening the spend — acquiring customers into a high-churn product is pouring money through a sieve.
There is no universal "good" churn number. A healthy rate is entirely category- and segment-dependent. Enterprise contracts, consumer apps, and freemium products live in different churn regimes, and monthly-billed products naturally show higher monthly churn than annual ones. Compare against your own trend and segment — never a benchmark ripped from a different business model. Tools like Edmired can tie churn back to the customer evidence behind it, but the number only means something in context.
Key Takeaways
- Churn rate = customers (or revenue) lost during a period ÷ the total at the start of that period, always tied to a stated timeframe.
- New signups stay out of the denominator — mixing them in flatters the number and hides whether existing customers are actually staying.
- Customer churn counts accounts; revenue churn counts dollars — and they can disagree, because losing one big account outweighs many small ones.
- Gross churn counts only losses; net churn subtracts expansion revenue and can go negative when upgrades outrun cancellations (net revenue retention above 100%).
- Churn is the flip side of retention: retention + churn = 100% for any period, so they describe the same movement from opposite ends.
- Small churn compounds and sets a ceiling on growth, which is why plugging the leak usually beats spending more on acquisition.
- There is no universal "good" churn rate — it's category- and segment-dependent, so compare against your own trend, not someone else's benchmark.
Frequently Asked Questions
What is a good churn rate?
There is no universal answer — a "good" churn rate depends entirely on your category, customer segment, and billing cadence. Enterprise SaaS, consumer apps, and small-business tools operate in very different churn regimes, and monthly-billed products naturally show higher monthly churn than annual ones. Compare against your own trend over time and businesses with a similar model, not a headline benchmark.
How do you calculate monthly churn rate?
Divide the number of customers lost during the month by the number of customers you had at the start of the month, then express it as a percentage. Keep new signups out of the denominator so the figure reflects whether existing customers are staying. For revenue churn, use the same formula with starting monthly recurring revenue and revenue lost instead of customer counts.
What is the difference between customer churn and revenue churn?
Customer churn (or logo churn) counts the number of accounts you lose, treating every customer equally. Revenue churn weights each loss by the money that customer represented, so losing one large account can outweigh many small cancellations. They can point in opposite directions — you might lose many small accounts while total revenue grows from expansion — so most subscription businesses track both.
Can churn rate be negative?
Customer churn cannot be negative, but net revenue churn can. Net revenue churn subtracts expansion revenue — from existing customers upgrading or buying more — from the revenue lost to cancellations and downgrades. When expansion exceeds losses, net revenue churn turns negative, which is equivalent to net revenue retention above 100%: your existing customer base grows in dollar terms even before you add anyone new.