Churn Rate Calculator

Customer Churn strictly measures the percentage of physical users or accounts that cancel their subscription. Revenue Churn (MRR Churn) measures the actual financial impact. Losing 10 small customers might equal a 5% Customer Churn, but if they were on a cheap tier, your Revenue Churn might only be 1%.

Net Negative Churn occurs when the expansion revenue from your existing customers (upsells, cross-sells, seat additions) exceeds the revenue lost from customers who cancel. This means your business will grow automatically every month even if you acquire zero new customers.

Churn is a velocity metric, meaning it must be bound by time (usually monthly or annually). A 5% Annual Churn is world-class for Enterprise B2B. A 5% Monthly Churn means you are losing 60% of your customer base over a year, which is generally unsustainable.

No. This tool operates entirely inside your device's browser using a constant-time O(1) mathematical matrix. Because it bypasses external APIs and server requests, retention projections resolve instantly with zero latency.

It depends heavily on segment. SMB-focused SaaS commonly runs 3-7% monthly churn, mid-market products typically sit between 1.5-3%, and enterprise SaaS usually aims for under 2% annually. Compare your churn against your own segment and historical trend rather than a single industry-wide number.

No, that overstates the real number. Because churn compounds against a shrinking base each month, the correct conversion is 1 minus (1 minus monthly churn) raised to the 12th power, not a simple multiplication. At 5% monthly, naive multiplication implies 60% annual churn, but the compounded formula gives a more accurate, though still steep, figure.

They're mirror images of the same period: retention rate is the percentage of customers who stayed, and churn rate is the percentage who left. Retention Rate equals 100% minus Churn Rate, so if your monthly churn is 4%, your retention rate for that same period is 96%.

Voluntary churn happens when a customer actively decides to cancel or not renew. Involuntary churn happens for operational reasons like an expired credit card, a failed payment, or a billing error, even though the customer didn't intend to leave. Involuntary churn is often the easier of the two to fix with better payment retry logic and dunning emails.

Logo churn is another name for customer churn, counting the number of accounts or 'logos' that cancel rather than the dollar value lost. It's useful alongside revenue churn because losing many small logos can look fine on a revenue chart while still signaling a product or onboarding problem.

Monthly is the standard cadence for most subscription businesses, since it lets you catch and react to problems quickly. Annual churn is more useful for board reporting, forecasting, and long-term benchmarking, but by the time an annual number moves, the underlying issue has usually been happening for months.

The term is also used for employee turnover, describing the rate at which staff leave a company. This calculator is built for customer and revenue churn, but the underlying math of departures divided by starting base is the same concept applied to a workforce instead of a customer base.

Churn rate is usually the denominator in a basic LTV formula: average customer lifespan is roughly 1 divided by the churn rate. A business with 5% monthly churn has an average customer lifespan of about 20 months, while a business with 2% churn keeps customers for around 50 months, dramatically changing how much revenue each customer is worth.

Common drivers include poor onboarding that leaves users unable to reach value quickly, weak product-market fit for a specific segment, pricing misaligned with perceived value, unresolved support issues, and involuntary payment failures. Exit surveys and cancellation-flow interviews are usually the fastest way to diagnose which of these is dominant.

Customer churn (logo churn) cannot go below zero since you can't lose a negative number of accounts. Net Revenue Churn, however, can go negative when expansion revenue from existing customers exceeds the revenue lost to cancellations and downgrades, which is the net negative churn scenario this calculator flags as a strong outcome.

A customer who downgrades to a cheaper plan hasn't cancelled, so they won't show up in customer churn, but they still reduce your MRR and should count toward gross revenue churn. Tracking only cancellations while ignoring downgrades can make your revenue health look better than it actually is.

Consumer subscription apps generally tolerate higher churn than B2B SaaS, often in the 5-10% monthly range depending on price point and category, since consumer purchase decisions are more impulsive and price-sensitive. Media and content subscriptions in particular tend to run higher than productivity or utility apps.

Freemium products typically report churn only on their paying tier, since free-tier abandonment is a separate, and usually much higher, metric called free-to-paid conversion or free-tier drop-off. Blending free and paid users into a single churn number tends to understate the health of the paying business.

A cohort analysis groups customers by the month or period they signed up, then tracks how many of each group remain active over time. It reveals whether churn is improving for newer customers, a sign your product or onboarding is getting better, even if your blended, company-wide churn number looks flat.

The highest-leverage levers are usually a smoother onboarding flow that gets new users to value quickly, proactive customer success outreach for at-risk accounts, fixing failed-payment recovery through dunning, and running exit surveys to find the actual reasons people leave rather than guessing.

Dunning is the automated process of retrying failed payments and emailing customers to update expired or declined cards. Since involuntary churn from payment failures can account for a meaningful share of total churn, a well-tuned dunning sequence is often one of the cheapest ways to recover revenue without any product or pricing changes.

Not necessarily on its own. A very low churn rate paired with weak new customer acquisition can still mean stalled growth, and a low churn rate can also mask a small but declining customer base if you're not tracking gross new additions alongside it. Churn should always be read together with acquisition and expansion metrics.

Gross Revenue Retention measures how much recurring revenue you kept from existing customers, excluding any upsell or expansion revenue, and is essentially 100% minus gross churn. Net Revenue Retention adds expansion revenue back in, so it can exceed 100% even when some customers churn, as long as expansion from the rest more than offsets the losses.

Investors generally weight Net Revenue Churn, or its inverse, Net Revenue Retention, more heavily than raw customer churn, since it reflects the compounding financial trajectory of the business. A company with net negative churn is viewed favorably because its existing customer base grows revenue on its own, independent of new sales.

Ideally both. Customer churn tells you about product stickiness and support quality across your whole base, while revenue churn tells you about the financial impact, which can differ significantly if your customers are on varied pricing tiers. Tracking only one can hide problems the other would catch.

As a rough guideline, annual churn above 20% is generally considered high across most subscription categories, while under 5% annually is considered low. For monthly SaaS churn specifically, anything consistently above 7-8% signals a structural retention problem serious enough to pause aggressive acquisition spend until it's addressed.