Audited ·Last updated 29 Jul 2026·6 citations·Tier 1·0 uses

Churn Rate Calculator — Customer (Logo) Churn and Revenue Churn

Calculate customer (logo) churn or gross revenue churn from your opening base, with correctly compounded monthly and annual equivalents.

Churn Rate Calculator

What are you counting?
Logo basis only. The at-risk base: every active account on day one of the period. Customers you acquired during the period do not belong here.
Logo basis only. Accounts from the opening base that cancelled or were not renewed. Exclude anyone who both joined and left inside the period.
Revenue basis only. MRR or ARR on day one — use whichever matches the period length you pick below.
$
Revenue basis only. Recurring revenue that left because an account cancelled or did not renew.
$
Revenue basis only. Seat reductions and plan downgrades from customers who stayed. Set this to 0 for a cancellations-only reading.
$
Period these figures cover
Churn rate for the period
5.00
Share of the opening base lost during the period, on the basis selected above. Read it together with the basis note — the same business has one number for accounts and a different one for dollars.
What this number counts
Customer (logo) churn — counts accounts lost, not dollars lost.
Retention rate for the period
95.00%
Annualised churn rate
45.96%
Monthly equivalent churn
5.00%
Lost during the period
25
Surviving from the opening base
475
Average customer life
20 months

Background.

Churn rate is the share of what you had at the start of a period that was gone by the end of it. The definition is simple; the confusion is that two entirely different numbers travel under the name. Logo churn counts accounts. Revenue churn counts dollars. They are computed from different data, they usually disagree, and quoting one while meaning the other is the most common reporting error in subscription businesses. This calculator makes you pick, and then labels the answer so the number cannot be misread later.

Banzai International's Form 10-K puts the distinction on the record in one sentence: "There are two types of Churn % measured: Revenue churn and Customer (or logo) churn," computed with a single formula whose numerator and denominator are read as "[# or $ value of]" depending on which you mean. In the same filing the company reports average monthly revenue churn of 5.7% alongside customer (logo) churn of 6.3% for the same product in the same year. Neither figure is wrong. The gap simply says that the accounts which left were smaller than the average account — which is a materially different business situation from the reverse, and a single blended "churn rate" would have hidden it.

Three scope decisions are baked into this page, and you should know them before you read the output. First, the denominator is the base you started the period with — the at-risk base, in the language of MASB's Common Language Marketing Dictionary. Customers won and revenue expanded during the period are excluded from both the top and the bottom of the fraction; adding them would let a good sales month disguise a bad retention month. Second, on the revenue basis this page counts downgrades as well as cancellations, following the gross-revenue-retention definition Instructure files with the SEC, which subtracts "downgrades and cancellations" from opening ARR. Set the downgrade field to zero if you want the narrower cancellations-only reading. Third, none of this is accounting. Box states it plainly in its own 10-K: net retention "is an operational metric and there is no comparable GAAP financial measure to which we can reconcile this particular key metric." The SEC's 2020 guidance on key performance indicators asks companies presenting such metrics to give "a clear definition of the metric and how it is calculated" — because without one the number means nothing to anybody outside the room.

The second thing this page exists to fix is annualisation. Churn does not scale linearly. Five percent a month is not sixty percent a year, because each month's loss applies to what survived the month before. Compounding the survivors instead — 0.95 raised to the twelfth power — gives 54.04% surviving and therefore 45.96% annual churn. That is a fourteen-point difference on a rate that plenty of decks report by multiplication. The same arithmetic runs in reverse: an annual figure divided by twelve is not your monthly rate either. Pick the period your figures actually cover and let the calculator convert.

Finally, treat the average-customer-life output with care. Dividing one by the monthly churn rate is the standard shortcut, and Banzai files exactly that formula, but it holds only if every customer has the same, unchanging chance of leaving. Fader, Hardie and colleagues showed in the Journal of Interactive Marketing that observed cohort retention rises with tenure purely because the customers most likely to leave leave first, leaving behind an ever more loyal mix. The practical consequence: 1 ÷ churn is a floor on average customer life, not a central estimate, and the gap widens the more varied your customer base is. It is reported here because it is useful and widely quoted, and labelled here because it is widely over-trusted.

What is churn rate calculator?

Churn rate measures loss from an existing base over a defined period. It is expressed as a percentage: the amount lost divided by the amount you held at the start of the period, times 100. Two bases are in common use and this calculator supports both. Customer churn — also called logo churn, because it counts company logos rather than dollars — divides the number of accounts lost during the period by the number of accounts active at the start. Revenue churn, more precisely gross revenue churn, divides the recurring revenue lost during the period by the recurring revenue in force at the start; it includes both cancellations, where an account leaves entirely, and contraction, where an account stays but shrinks through a downgrade or a seat reduction. Retention rate is churn's complement over the same base and period: retention = 100% − churn. On the revenue basis that complement is gross revenue retention (GRR), which is structurally capped at 100% because expansion revenue is excluded from the calculation by design. Churn is an operational metric, not an accounting one. There is no GAAP or IFRS definition, no required denominator and no mandated period, which is why two companies quoting "5% churn" may not be describing comparable situations at all. The figures on this page are always computed against the opening base for the period you select, with new customers and expansion revenue excluded from both the numerator and the denominator.

How to use this calculator.

  1. Pick your basis. Choose Customers if you want logo churn — how many accounts left. Choose Revenue if you want gross revenue churn — how many dollars left. If someone has asked you for "churn" without saying which, ask; the two answers can point in opposite directions.
  2. Set the period these figures cover: one month, one quarter, or one year. This does not change the headline churn rate — it changes what the monthly and annual equivalents mean.
  3. On the customer basis, enter the number of active accounts on day one of the period, then the number of those accounts that were gone by the end. Exclude anyone who both signed up and cancelled inside the period; they were never part of the opening base.
  4. On the revenue basis, enter the recurring revenue in force on day one, then the revenue lost to outright cancellations, then the revenue lost to downgrades and seat reductions from customers who stayed. Set downgrades to zero for a cancellations-only reading.
  5. Read the headline rate together with the basis label directly beneath it. The label states in words whether the number counts accounts or dollars, so the figure survives being copied into a slide.
  6. Use the annualised figure — never twelve times the monthly one — when comparing against annual benchmarks or feeding a lifetime-value model. Use the monthly equivalent when comparing a quarterly or annual number against a monthly one.
  7. Treat average customer life as a floor. It assumes a single unchanging churn rate for every customer, which no real base has.

The formula.

c = Lost ⁄ Base ; Annual c = 1 − (1 − c)^(12⁄L)

The core calculation is one division. On the customer basis, churn c = customers lost ÷ customers at the start of the period. On the revenue basis, c = (revenue lost to cancellations + revenue lost to downgrades) ÷ recurring revenue at the start of the period. In both cases the denominator is the opening, at-risk base — never an average of opening and closing, and never a figure that includes customers or revenue added during the period. Retention rate is the complement, 1 − c, over that same base and period. Converting between period lengths is where most implementations go wrong, so it is done here by compounding the survival probability rather than scaling the loss rate. If a fraction c is lost over a period of L months, the share surviving is (1 − c), the monthly survival rate is (1 − c) raised to the power 1/L, and the annual survival rate is (1 − c) raised to the power 12/L. Annualised churn is one minus that: 1 − (1 − c)^(12/L). At the worked example's 5% monthly churn, 0.95^12 = 0.5403600877, so 54.04% of the opening cohort survives the year and annualised churn is 45.96% — not the 60% that multiplying by twelve would give. Average customer life is 1 ÷ the monthly equivalent churn rate: at 5% a month that is 20.00 months, and at the 5.5% monthly revenue churn in the worked example it is 18.18 months. That relation is exact only when every customer carries the same constant probability of leaving, so it is reported as a floor rather than an estimate; it is capped at 1,200 months because at zero churn the division is undefined. On rounding: every intermediate quantity in this calculator is carried at full arbitrary-precision decimal width and nothing is rounded until the final result is returned. In particular the churn rate is not rounded to two decimals before being raised to the 12/L power, which would move the annualised answer by several basis points.

A worked example.

Example

Take one subscription business through a single month, measured both ways. It opened the month with 500 customers and $100,000 of MRR — an average of $200 per account. Twenty-five of those accounts cancelled, and separately $1,500 of MRR disappeared through downgrades and seat reductions from customers who stayed. On the customer basis (the calculator's default settings), churn is 25 ÷ 500 = 5.00% for the month, retention is 95.00%, 25 accounts are gone and 475 survive. Compounding that across a year — 0.95^12 = 0.5403600877 — gives an annualised churn rate of 45.96%, and the average customer life implied by a constant 5% monthly rate is 1 ÷ 0.05 = 20.00 months. Switch the basis to Revenue, as this worked example does, and the same month reads differently. Dollars lost are $4,000 of cancellations plus $1,500 of downgrades, so gross revenue churn is $5,500 ÷ $100,000 = 5.50% for the month, gross revenue retention is 94.50%, $5,500 is gone and $94,500 of the opening base survives. Annualised, that is 1 − 0.945^12 = 49.28%, and the implied average life is 1 ÷ 0.055 = 18.18 months. The two readings are worth pulling apart, because the gap is informative rather than noise. The 25 accounts that cancelled took $4,000 with them, which is $160 each — 20% below the $200 average. Measured on cancellations alone, revenue churn would be 4.00%, comfortably BELOW the 5.00% logo churn, and that is the correct signal: the accounts that left were smaller than typical, so the business lost proportionally less money than it lost logos. Gross revenue churn only climbs above logo churn, to 5.50%, once the $1,500 of downgrades from retained customers is added in. Banzai's SEC filing shows the same signal on real, filed data: monthly revenue churn of 5.7% sitting below logo churn of 6.3%. Their filed formula counts deactivations only, with no downgrade term, so their pair is directly comparable to the 4.00% versus 5.00% comparison above, and it carries the same meaning — the accounts that left were smaller than average. Either way, the single number "churn" would have concealed the whole story.

churned Mrr4,000
contraction Mrr1,500
starting Mrr100,000
customers At Start500
customers Lost25
period Months1
basisrevenue

Frequently asked questions.

What is the difference between logo churn and revenue churn?
Logo churn counts accounts; revenue churn counts dollars. Logo churn is customers lost ÷ customers at the start of the period. Revenue churn is recurring revenue lost ÷ recurring revenue at the start of the period. They diverge whenever the accounts that leave are not average-sized. In the worked example above, 25 accounts leaving out of 500 is 5.00% logo churn, but those accounts carried only $160 of MRR each against a $200 average, so cancellation-driven revenue churn is 4.00% — lower. Banzai's Form 10-K shows the same pattern on real data — 6.3% monthly logo churn against 5.7% revenue churn — and because their filed formula counts cancellations only, with no downgrade term, the comparison is like for like: their departing accounts were smaller than average too. Neither metric is the "real" one. Logo churn tells you about product-market fit and support load; revenue churn tells you about the P&L. Investors almost always mean revenue when they ask about retention, and support leaders almost always mean logos.
Why isn't 5% monthly churn the same as 60% annual churn?
Because each month's churn applies to whatever survived the previous month, not to the original base. Starting from 100 customers at 5% monthly churn, the first month costs 5 customers, but the second month costs 5% of 95, which is 4.75, and so on. Compounding the survival rate instead of adding the loss rate, 0.95^12 = 0.5403600877, so 54.04% of the opening cohort is still there after twelve months and annualised churn is 45.96%. Multiplying by twelve overstates it by roughly 14 percentage points. The error is worse at higher rates: 10% monthly churn is 71.76% annually, not 120% — and a rate above 100% should be an obvious signal that the multiplication is wrong, since you cannot lose more than everything. The same applies in reverse: dividing an annual rate by twelve understates the monthly rate.
Should the denominator be the customers I started with, or an average?
This calculator uses the base at the start of the period, which is what the primary sources use. Banzai's 10-K defines churn as deactivations "relative to the number of active customers at the beginning of such period or end of the prior period." MASB's Common Language Marketing Dictionary frames the retention denominator as the "number at risk" — the population that was actually exposed to the possibility of leaving. Some firms instead average the opening and closing base. That variant produces a smaller churn number whenever the base is growing, because the denominator is inflated by customers who were not exposed for the whole period. Neither is prohibited; there is no accounting standard here. What matters is that you disclose which you used, which is exactly what the SEC's 2020 guidance on key performance indicators asks of any company presenting a metric like this one.
Does revenue churn include downgrades, or only cancellations?
The sources genuinely disagree, so this page lets you choose. Banzai's filed formula counts "Deactivations" — cancellations only. Instructure's filed definition of gross revenue retention subtracts "downgrades and cancellations" from opening ARR, which is the broader reading and the more common one in SaaS reporting. This calculator includes downgrades by default, because a seat reduction destroys opening recurring revenue exactly as a cancellation does, and because it keeps the identity retention = 100% − churn consistent with gross revenue retention as filers define it. Set the downgrade field to zero to reproduce the narrower cancellations-only figure. Whichever you use, use it consistently across periods — switching definitions mid-series is precisely the change the SEC guidance says must be disclosed.
Is retention rate just 100% minus churn rate?
Over the same base and the same period, yes — that is a definitional identity, and this calculator reports both. Two things break it in practice. The first is period mismatch: monthly churn of 5% does not pair with annual retention of 95%, because the annual figures are 45.96% churn and 54.04% retention. The second is scope mismatch: net revenue retention adds expansion revenue back in and can exceed 100%, so it is emphatically not one minus the churn figure on this page. Gross revenue retention — this page's revenue-basis retention output — is the one that genuinely equals 100% minus gross revenue churn, and it can never exceed 100% because it excludes expansion by construction. If you need the expansion-inclusive view, use the net revenue retention calculator instead.
How does churn relate to customer lifetime value?
Churn sets the length of the relationship, and length is one of the two factors in lifetime value. Under a constant-churn assumption, average customer life in months equals 1 ÷ the monthly churn rate: at 5% a month that is 20.00 months, and at 5.5% it is 18.18 months. Multiply that by monthly revenue per customer — and, for a value rather than a revenue figure, by gross margin — and you have the standard lifetime-value estimate. Banzai files exactly this chain in its 10-K: "Customer Life (# of months) = 1 / Churn %" and "LTV = MRR * Customer Life". The weakness is the constant-churn assumption. Because churn falls as a cohort ages, 1 ÷ churn understates real average life, which means a lifetime-value model built on a blended churn rate is conservative rather than optimistic — useful to know before you conclude a channel is unprofitable.
Why does churn seem to fall as a cohort gets older?
Usually not because customers become more loyal, but because the ones who were always likely to leave have already gone. Fader, Hardie, Liu, Davin and Steenburgh set this out in the Journal of Interactive Marketing: "Cohort-level retention rates increase because those customers with high churn propensities drop out early on, leaving an ever-increasing proportion of customers who have low propensities to churn." On their model the phenomenon is "purely due to cross-sectional heterogeneity; an individual customer's propensity to churn does not change over time." The practical consequences are worth internalising. A blended churn rate across cohorts of mixed ages is not a property of your product, it is partly a property of your growth rate — fast growth loads the base with young, high-churn customers and makes churn look worse. And projecting one constant churn rate forward will understate how many customers you still have in year three.
What counts as a good churn rate?
This page deliberately does not print a benchmark, because a defensible one does not exist at the level of "SaaS". The number that matters depends on contract length, price point, segment and how the denominator is defined — and, as Box states in its own 10-K, these are operational metrics with "no comparable GAAP financial measure," so cross-company figures are frequently not comparable at all. What you can do rigorously is compare against yourself: track the same basis, the same denominator convention and the same period length over time, and split the series by cohort age and by segment. A blended rate that is flat can easily conceal enterprise churn falling while self-serve churn rises. If you need an external reference point, use disclosed figures from filed annual reports of companies with a similar model and read their stated definition first — the two filings quoted on this page use different conventions from each other.
Can churn rate be more than 100%?
Not as this page defines it, and the guard rails enforce that. Churn is measured against the base you started the period with, and you cannot lose more accounts, or more opening recurring revenue, than you had on day one. If your figures produce a churn rate above 100% you have mixed bases: usually the losses include customers who joined during the period, or the revenue lost includes contracts that were never part of the opening base. Net revenue churn is a different metric and it CAN go negative — when expansion from existing customers exceeds everything lost, net revenue churn is below zero and net revenue retention is above 100%. That is a much-quoted state of affairs and it is calculated on the net revenue retention page, not this one.
Which period should I measure churn over?
Match the period to your billing and renewal cycle, then convert rather than re-measure. A monthly-billed self-serve product has a meaningful monthly churn rate; an annually-billed enterprise product does not, because in eleven months out of twelve almost nobody has a renewal decision in front of them, and a monthly figure will look flatteringly low until the renewal month arrives. For annual contracts measure over twelve months and let the calculator derive the monthly equivalent. Whatever you choose, be consistent: a series that switches from monthly to quarterly measurement mid-way is not a series. If you must present both, present the compounded equivalents from a single measured rate rather than measuring twice on different bases.

References& sources.

  1. [1]Banzai International, Inc. — Form 10-K for the fiscal year ended December 31, 2024 (filed 2025-04-15, accession 0000950170-25-054303), Item 7 MD&A, "Customer Churn %": "There are two types of Churn % measured: Revenue churn and Customer (or logo) churn. The formula for calculating Churn % is: Churn % = [# or $ value of] Deactivations / [# or $ value of] Active Customers (Beginning of period)." Discloses average monthly revenue churn of 5.7% against customer (logo) churn of 6.3% for 2024, and "Customer Life (# of months) = 1 / Churn %". Primary filed source; free and independent. Retrieved 2026-07-29.
  2. [2]Instructure Holdings, Inc. — Form 10-K for the fiscal year ended December 31, 2022 (accession 0000950170-23-003203), Item 7 MD&A, "Net Revenue Retention Rate; Gross Revenue Retention Rate": gross revenue retention is calculated "by subtracting downgrades and cancellations over a 12-month period from ARR at the beginning of the corresponding 12-month period for a particular customer cohort and dividing the result by the ARR from the beginning of the same 12-month period." This is the second, independent authority used to confirm the opening-base denominator and the inclusion of downgrades. Retrieved 2026-07-29.
  3. [3]MASB (Marketing Accountability Standards Board) — Common Language / Universal Marketing Dictionary, entry "Retention Rate": "Retention rate is the ratio of the number of retained customers to the number at risk"; "Retention rate (%) = [Number of customers retained ÷ Number of customers at risk] x 100". Sourced by MASB from Farris, P. W., Bendle, N. T., Pfeifer, P. E. & Reibstein, D. J., Marketing Metrics: The Definitive Guide to Measuring Marketing Performance, 2nd ed. (Pearson, 2010). Retrieved 2026-07-29.
  4. [4]Fader, P. S., Hardie, B. G. S., Liu, Y., Davin, J. & Steenburgh, T. (2018). "'How to Project Customer Retention' Revisited: The Role of Duration Dependence." Journal of Interactive Marketing, 43, 1–16. "Cohort-level retention rates increase because those customers with high churn propensities drop out early on, leaving an ever-increasing proportion of customers who have low propensities to churn." Link is the authors' own full-text copy hosted at London Business School; the journal version (Elsevier) is paywalled. Retrieved 2026-07-29.
  5. [5]U.S. Securities and Exchange Commission — Commission Guidance on Management's Discussion and Analysis of Financial Condition and Results of Operations, Release Nos. 33-10751; 34-88094; FR-87, 85 Fed. Reg. 10568 (Feb. 25, 2020), Section II "Key Performance Indicators and Metrics", pp. 10569–10570. A company presenting a metric should accompany it with "a clear definition of the metric and how it is calculated", why it is useful to investors, and how management uses it. Official Federal Register text via GPO govinfo; free and independent. Retrieved 2026-07-29.
  6. [6]Box, Inc. — Form 10-K for the fiscal year ended January 31, 2025, Item 7 MD&A, "Net Retention Rate": "Net retention rate is an operational metric and there is no comparable GAAP financial measure to which we can reconcile this particular key metric." Cited for the absence of any accounting-standard definition of retention and churn metrics. Retrieved 2026-07-29.

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