Four dark metal cubes grouped together and a fifth cube set apart, showing retained customers versus churned customers

Churn Rate vs. Customer Retention Rate: Formulas, Differences and When Each Matters

Churn Rate vs. Customer Retention Rate: Formulas, Differences and When Each Matters

Churn Rate vs. Customer Retention Rate: Formulas, Differences and When Each Matters

Churn rate vs. retention rate is one question looked at from two sides. Churn rate is the share of customers you lost during a period. Customer retention rate is the share of customers you kept. With a fixed customer base they add up to 100%, so 8% monthly churn means 92% retention.

In a real business they often don’t add up so neatly. New customers join mid-month, some of them leave before the month ends, and revenue moves differently from customer counts. Below are both formulas with worked numbers, the cases where they diverge, what “good” looks like, and the product problems that usually sit behind a bad churn number.

Churn Rate vs. Retention Rate at a Glance


Churn rate

Customer retention rate

What it measures

Customers lost in a period

Existing customers kept through a period

Basic formula

Customers lost ÷ customers at start × 100

(Customers at end − new customers) ÷ customers at start × 100

Good direction

Lower

Higher

Typical period

Monthly

Monthly, quarterly or annual

Most useful for

Spotting problems early

Judging long-term health and growth

What Is Churn Rate?

Churn rate tells you how fast customers leave. In a subscription business that means cancelling. In ecommerce or a free app it usually means going inactive for a set window, such as 90 days without a purchase or 30 days without a login. Define that window once and stick to it, or month-to-month comparisons become meaningless.

Churn rate formula and example

Churn rate = customers lost during the period ÷ customers at the start of the period × 100

Say you start March with 1,000 paying customers and 60 of them cancel during the month. Your monthly churn rate is 60 ÷ 1,000 = 6%.

Only count customers from the starting base in the denominator. Adding March sign-ups to it makes churn look lower in a strong acquisition month, which is exactly when you’d want an honest number.

Customer churn vs. revenue churn

Customer churn (often called logo churn) counts accounts. Revenue churn counts money. They can tell very different stories. If you lose 10 of 100 customers but all 10 were on your cheapest plan, logo churn is 10% while revenue churn might be 3%. Lose a single enterprise account and the reverse happens: 1% logo churn, a painful revenue hit.

Revenue churn also captures downgrades. A customer who drops from a $500 plan to a $100 plan hasn’t churned as a logo, but $400 of monthly revenue has.

Voluntary vs. involuntary churn

Voluntary churn is a deliberate cancellation. Involuntary churn happens when a card expires or a payment fails and nobody fixes it. The second kind is easy to overlook and often the cheapest to recover, with automatic card retries, update reminders before expiry and a simple in-app screen to change payment details. Check it first before redesigning anything bigger.

What Is Customer Retention Rate?

Customer retention rate measures how many existing customers stayed with you over a period. New customers are deliberately excluded, because retention is about the base you already had. Otherwise a big marketing push could hide a leaking product.

Retention rate formula and example

Customer retention rate = (customers at end − new customers acquired) ÷ customers at start × 100

You start the quarter with 1,000 customers, add 200 new ones and finish with 1,050. Retention rate is (1,050 − 200) ÷ 1,000 = 85%. Of the customers you began with, 85% are still around.

Net revenue retention (NRR)

Net revenue retention applies the same idea to money. Take recurring revenue from existing customers at the start, add expansion (upgrades, extra seats), subtract contraction and churned revenue, and divide by the starting figure. Gross revenue retention (GRR) uses the same formula without expansion, so it can never go above 100%.

NRR above 100% means your existing customers are worth more this year than last, even after the ones who left. That’s why investors in B2B SaaS look at it before almost anything else.

Customer retention rate measures how many existing customers stayed with you over a period. New customers are deliberately excluded, because retention is about the base you already had. Otherwise a big marketing push could hide a leaking product.

Retention rate formula and example

Customer retention rate = (customers at end − new customers acquired) ÷ customers at start × 100

You start the quarter with 1,000 customers, add 200 new ones and finish with 1,050. Retention rate is (1,050 − 200) ÷ 1,000 = 85%. Of the customers you began with, 85% are still around.

Net revenue retention (NRR)

Net revenue retention applies the same idea to money. Take recurring revenue from existing customers at the start, add expansion (upgrades, extra seats), subtract contraction and churned revenue, and divide by the starting figure. Gross revenue retention (GRR) uses the same formula without expansion, so it can never go above 100%.

NRR above 100% means your existing customers are worth more this year than last, even after the ones who left. That’s why investors in B2B SaaS look at it before almost anything else.

Why Retention Isn't Always 100% Minus Churn

Here’s where most explanations stop too early. Use the quarter from above: 1,000 customers at the start, 200 new, 1,050 at the end. That means 150 customers left in total (1,000 + 200 − 1,050).

Churn by the standard formula is 150 ÷ 1,000 = 15%. Retention is 85%. They add up. Now suppose 20 of those 150 were new customers who signed up in week one and cancelled in week ten. Only 130 of your original customers actually left, so true churn of the starting base is 13%, while the retention formula still says 85%. The 2-point gap is the new customers who came and went inside the quarter.

The gap is not a math error. It’s information. A large difference means people are churning fast after signing up, which points to onboarding and first-week experience rather than long-term value. Track new-customer churn separately and you’ll see it clearly.

A second trap is using (customers at start − customers at end) ÷ customers at start as a churn formula. In the example above that gives −5%, because growth masked the losses. That’s net customer change, not churn.

Converting Monthly Churn to Annual Churn

Monthly churn doesn’t multiply by 12. Each month you lose a percentage of a smaller base, so the effect compounds:

Annual churn = 1 − (1 − monthly churn)¹²

At 2% monthly churn you lose about 21.5% of customers in a year, not 24%. At 5% monthly it’s about 46%, not 60%. At 10% monthly you lose roughly 72% of the base within a year. The same compounding explains why a churn rate that sounds small (say 5%) is a serious problem for a business that needs customers to stay for years to pay back acquisition costs.

What Is a Good Churn Rate and Retention Rate?

It depends on who your customers are and how they pay. Enterprise B2B products with annual contracts and onboarding teams sit at the low end of churn. Small-business SaaS churns more, because small businesses close, switch tools and cut costs quickly. Consumer subscriptions such as streaming, meal kits and fitness apps churn the most, since switching takes one tap.

For private B2B SaaS, SaaS Capital’s 2025 retention benchmarks report a median net revenue retention of 102% for companies with average contract values between $25,000 and $50,000, with the top quartile at 111% and the bottom quartile at 97%. Their data also shows retention rising with contract size.

A more useful benchmark than any industry median is your own trend. If monthly churn moved from 4% to 3% after an onboarding change, that’s a real signal. A competitor’s published number, measured with different definitions, is not.

Which Metric Should You Track?

Both, but for different jobs. Churn is the faster signal. It’s reported monthly, it reacts quickly to a bad release or a pricing change, and it’s what product and customer success teams should watch week to week. Retention, and NRR in particular, is the slower, strategic view that founders, finance and investors use to judge whether the business compounds.

There’s also a third number that most churn articles skip: user retention. Customer retention looks at billing. User retention looks at behavior, meaning how many people still log in and use the product. The two drift apart all the time. An annual customer can be paid up for eight more months while nobody on their team has opened the product in six weeks. Billing says retained. Usage says that renewal is already lost. Teams that only watch billing churn find out at renewal time, when it’s too late to fix. Our UX research work often starts right here, with interviews of customers whose usage dropped while they were still paying.

Common Mistakes When Calculating Churn and Retention

Most bad churn numbers come from definitions, not arithmetic. These are the ones we see most:

  • Counting free trial users who never paid as churned customers, which inflates churn and hides the real conversion problem.

  • Mixing periods, such as monthly churn in one report and quarterly retention in another, then comparing them directly.

  • Reporting only logo churn when a handful of large accounts drive most of the revenue.

  • Changing the inactivity window for non-subscription products, so last quarter’s 90-day definition becomes this quarter’s 60-day one.

  • Averaging churn across all customers when the problem sits in one segment, plan or acquisition channel.

How Product UX Drives Churn (and What to Fix First)

Pricing and competition matter, but a lot of churn comes from the product itself: people who never understood it, never reached the point where it was useful, or got stuck on a task they did often. That part is fixable with design.

Onboarding and time-to-value

Early churn is almost always an onboarding problem. If a new customer doesn’t reach the first meaningful result (the first report generated, the first invoice sent, the first project shipped) within the first few sessions, the chance they stay drops sharply. Measure time-to-value and cut steps that stand between sign-up and that first result. Empty states, setup checklists and sensible defaults usually do more than a product tour. Good user onboarding design is often the single highest-return fix for early churn.

Reading cohort retention curves

A cohort chart groups customers by sign-up month and shows what share are still active in month 1, 2, 3 and so on. The shape matters more than any single number. A curve that drops and then flattens means you have a core of customers who found lasting value. A curve that keeps sliding toward zero means there’s no stable reason to stay. When you compare cohorts before and after a product change, a flatter curve is the clearest proof that the change worked. Getting these charts readable for the whole team is a design job in itself, which we cover in our guide to dashboard UX design.

Finding the drop-off points

Cohorts show when people leave. To see why, look at what churned customers did, and didn’t do, before they left. Common patterns include never inviting a teammate, never connecting an integration, or repeatedly failing at the same task. Combine product analytics with session recordings and exit survey answers, then review the flows with a structured UX audit to find the specific screens causing friction.

Churn rate vs. retention rate isn’t a choice between two metrics. Churn tells you something is wrong this month, and retention tells you whether the business holds up over years. When both point to customers leaving early, the cause is usually in the product, and Fivecube’s product redesign team can help find and fix it.

Pricing and competition matter, but a lot of churn comes from the product itself: people who never understood it, never reached the point where it was useful, or got stuck on a task they did often. That part is fixable with design.

Onboarding and time-to-value

Early churn is almost always an onboarding problem. If a new customer doesn’t reach the first meaningful result (the first report generated, the first invoice sent, the first project shipped) within the first few sessions, the chance they stay drops sharply. Measure time-to-value and cut steps that stand between sign-up and that first result. Empty states, setup checklists and sensible defaults usually do more than a product tour. Good user onboarding design is often the single highest-return fix for early churn.

Reading cohort retention curves

A cohort chart groups customers by sign-up month and shows what share are still active in month 1, 2, 3 and so on. The shape matters more than any single number. A curve that drops and then flattens means you have a core of customers who found lasting value. A curve that keeps sliding toward zero means there’s no stable reason to stay. When you compare cohorts before and after a product change, a flatter curve is the clearest proof that the change worked. Getting these charts readable for the whole team is a design job in itself, which we cover in our guide to dashboard UX design.

Finding the drop-off points

Cohorts show when people leave. To see why, look at what churned customers did, and didn’t do, before they left. Common patterns include never inviting a teammate, never connecting an integration, or repeatedly failing at the same task. Combine product analytics with session recordings and exit survey answers, then review the flows with a structured UX audit to find the specific screens causing friction.

Churn rate vs. retention rate isn’t a choice between two metrics. Churn tells you something is wrong this month, and retention tells you whether the business holds up over years. When both point to customers leaving early, the cause is usually in the product, and Fivecube’s product redesign team can help find and fix it.

By

Fivecube Team

Frequently Asked Questions

Is churn rate the same as retention rate?

No. They’re opposite views of the same customer base: churn counts who left, retention counts who stayed. With no new customers they add up to 100%, but new customers who join and leave in the same period can make them diverge.

Is a 5% churn rate good?

It depends on the period and the business. A 5% monthly churn rate compounds to roughly 46% annually, which is high for B2B software but common for consumer subscriptions. A 5% annual churn rate is strong for most businesses.

What does a 20% churn rate mean?

It means you lost 20% of the customers you started the period with. At 20% annually you keep 80% of customers each year. At 20% monthly you would lose over 90% of your base within a year.

What is a good customer retention rate?

There’s no universal number. Enterprise B2B products often keep 90% or more of customers per year, while consumer apps and subscriptions keep far fewer. Your own month-over-month trend is a better guide than an industry average.

What does 80% retention rate mean?

It means 80% of the customers you had at the start of the period were still customers at the end, and 20% left. New customers acquired during the period aren’t counted.

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