Key Takeaways
- The two panels behind most SaaS churn benchmarks disagree by nearly forty points. A self-reported operator survey puts median gross retention at 92% under $1M ARR (High Alpha SaaS Benchmarks, 2025), while measured billing data puts it at 53% under $300k ARR (ChartMogul SaaS Benchmarks, 2023).
- Self-reported gross retention lands near the measured top decile. In a measured report, the top tenth of companies have 85% to 89% gross retention at every company size (ChartMogul SaaS Benchmarks, 2023). Medians from self-reported gross retention run 88% to 92% at every company size, level with or just above that (High Alpha SaaS Benchmarks, 2025).
- Gross retention rises with company size in measured data but not in surveys. ChartMogul's measured median gross retention runs 53, 62, 68, 68, 72 and 69 across six ARR bands. High Alpha's self-reported runs 92, 92, 88, 90 and 88 across five (High Alpha SaaS Benchmarks, 2025).
- Customer size is way more impactful to gross retention than company size. Across ChartMogul's measured customer ARPA bands, the median gross retention spans 32 points, while we only see a 16 point span across its company ARR bands on the same measure.
- A churn figure without a stated period is unusable. Stripe's 38% annual SaaS churn is about 3.9% a month (Stripe Churn Benchmarks, 2025); Recurly publishes 2.5% voluntary and 0.9% involuntary with no period stated at all (Recurly State of Subscriptions, 2025).
Search for a SaaS churn benchmark and you're guaranteed to get a number without being told who was counted and how it was calculated. That's the whole problem. The two kinds of panel that publish these figures, surveys of operators and billing data measured across a platform, disagree at the small end by nearly 40 points, and each is right about the companies it holds.
High Alpha surveys more than 800 SaaS founders and executives, half of them the chief executive, and reports median gross revenue retention of 92% for companies under $1M ARR (High Alpha SaaS Benchmarks, 2025). ChartMogul computes from billing data across more than 2,100 SaaS businesses and puts the median at 53% for companies under $300k ARR, over the twelve months to March 2023 (ChartMogul SaaS Benchmarks, 2023). That edition is the most recent one to publish the size and price cuts this page uses, so two of its tables are three years old and say so in their notes. Converted to a monthly rate, that is the difference between losing 0.7% of your recurring revenue each month and losing 5.2% of it.
Neither number is wrong per se, and the gap between them is the part worth understanding. A founder who reads the survey figure and concludes they are three times worse than the market may only be reading a benchmark drawn from a different population. What is a good SaaS churn rate has no answer until you know which of those two groups you are being measured against.
Pay special attention to the panel and method tied to each figure below.
How SaaS churn is measured
The term 'churn' means nothing without its qualifiers, so a published figure is unusable until you know how the report is defining it. Logo churn counts customers. Revenue churn counts money. Gross revenue retention is the mirror of revenue churn and cannot exceed 100%. Net revenue retention adds expansion from customers you kept and so has no ceiling (which is how a company can report 110% net retention while still losing a fifth of its customers every year).
The distinction matters most at the two ends of the market. A business selling at $20 a month loses customers steadily and has almost no expansion to offset it, so its logo churn and its revenue churn sit close together. An enterprise vendor with seat-based growth can hold net retention above 100% while gross retention sits in the eighties. You can compute either against your own numbers with the churn rate calculator or the revenue-weighted version with the MRR churn calculator.
Period is the trap
The second thing a figure needs is a time period, and this is where most published comparisons quietly fail. Stripe's reported 38% is annual churn measured on monthly-billed subscriptions only (Stripe Churn Benchmarks, 2025). Compounded down, 38% a year is about 3.9% a month, an ordinary monthly figure that looks alarming when printed beside one. Recurly publishes 2.5% voluntary and 0.9% involuntary churn without stating anywhere whether the rate is monthly or annual (Recurly State of Subscriptions, 2025), which leaves it impossible to place on either scale.
The tables below set out the four measures and then four published SaaS figures beside the basis each publisher states. The figures span more than thirty-fold, and no two of them are directly comparable, so convert yours to one period before you set it beside any of them.
| Measure | What it counts | Ceiling |
|---|---|---|
| Logo churn | Customers lost over the period, divided by customers at the start | Cannot exceed 100% |
| Gross revenue churn | Recurring revenue lost to cancellation and downgrade, divided by revenue at the start | Cannot exceed 100% |
| Gross revenue retention (GRR) | Starting revenue less cancellation and contraction, divided by starting revenue | Caps at 100% |
| Net revenue retention (NRR) | The same, plus expansion from customers you kept | Has no ceiling |
| Published as | Basis the source states | Figure | Source |
|---|---|---|---|
| Annual SaaS churn | Monthly-billed subscriptions only, September 2024 to August 2025 | 38% | Stripe 2025 |
| Blended voluntary churn, all industries | Period not stated anywhere in the report | 2.5% | Recurly 2025 |
| Blended involuntary churn, all industries | Period not stated anywhere in the report | 0.9% | Recurly 2025 |
| Median gross retention, under $300k ARR | Twelve months to March 2023, companies active the full window | 53% | ChartMogul 2023 |
| Median GRR, all respondents | Self-reported annual survey of B2B SaaS operators | 84% | Benchmarkit 2026 |
Where SaaS churn benchmarks come from
Almost every SaaS retention benchmark in circulation comes from one of two places, and the difference between them is not a detail.
Operator surveys
High Alpha and Benchmarkit both survey operators. High Alpha's 2025 edition has more than 800 respondents, half of them founders or chief executives, weighted 69% to the United States (High Alpha SaaS Benchmarks, 2025). Benchmarkit's is syndicated by partners to their portfolio companies and vendor audiences, and its retention questions are answered by 225 of its 583 participants (Benchmarkit B2B SaaS Metrics, 2025). Both are self-reported. Operators generally know their own metrics, but the number is typed into a form and never reconciled against a billing system.
Measured billing panels
ChartMogul computes from actual billing data across more than 2,100 SaaS businesses, with no self-report in the loop (ChartMogul SaaS Benchmarks, 2023). It carries a selection effect of its own in the opposite direction: companies not active for the full twelve-month window are excluded, so the panel describes survivors and its members are businesses that chose a self-serve subscription analytics product.
Where the two disagree
For small companies, their reported median gross retention rates are almost 40 points apart. As company size rises they converge, and they converge in a specific way. ChartMogul's measured top decile reports 85% to 89% gross retention at every ARR band, which is roughly where High Alpha's self-reported medians sit across its whole range (ChartMogul SaaS Benchmarks, 2023). The survey panel's typical company reports what the measured panel's best tenth achieves.
That is what you would expect if the operators who answer a benchmarking survey are the ones confident enough in their metrics to have them at hand. It isn't evidence that either publisher is careless, and it doesn't make the survey figure useless. But it does mean that we should treat that self-reported figure as a top-decile target vs a median.
| Panel | ARR band | Gross retention | Source |
|---|---|---|---|
| Operator survey | Under $1M | 92% | High Alpha 2025 |
| Operator survey | Over $50M | 88% | High Alpha 2025 |
| Billing data, median | Under $300k | 53% | ChartMogul 2023 |
| Billing data, median | $15-30M | 69% | ChartMogul 2023 |
| Billing data, top quartile | Under $300k | 70% | ChartMogul 2023 |
| Billing data, top quartile | $15-30M | 82% | ChartMogul 2023 |
SaaS retention by company size
This is the cut where the two panels contradict each other outright, so it is worth being precise about what each one says.
In High Alpha's self-reported survey, gross retention runs 92, 92, 88, 90 and 88 across five ARR bands from under $1M to over $50M (High Alpha SaaS Benchmarks, 2025). It's mostly flat, drifting down four points as ARR increases. The previous edition showed the same shape more steeply with 92% gross retention for under $1M ARR dropping down to 83% for above $50M ARR (High Alpha SaaS Benchmarks, 2024). OpenView's self-reported survey dips through the middle and recovers at the top, running 97, 95, 90, 90, 90 and 95 across six ARR bands (OpenView SaaS Benchmarks, 2022).
The measured billing panel goes the other way. ChartMogul's measured median gross retention rises from 53% for under $300k ARR to 69% for $15-30M, but within the top decile of performers across all ARR bands, gross retention was 85%-89% (ChartMogul SaaS Benchmarks, 2023).
Reading the table
The spread down each column is larger than the spread across the bands. At $1-3M ARR, the gross retention rate gap between the bottom quartile and the top decile is 38 points. Meanwhile, the median gross retention rate gap between the smallest and largest ARR bands is just 16. This implies that company size (ARR band) is a weak predictor of gross retention next to where you sit among companies of your own size.
The two panels are reconcilable though. Survey respondents at $1M ARR resemble the measured panel's top decile, and that top decile really is flat across size. What isn't supportable is the claim, common in benchmark write-ups, that gross retention reliably improves as a company scales. In the one panel here that measures rather than asks, it improves but in the surveys, it doesn't. Be sure to check which kind of panel your benchmark target came from before you write it in pen.
| ARR band | Bottom quartile | Median | Top quartile | Top decile | Source |
|---|---|---|---|---|---|
| Under $300k | 33% | 53% | 70% | 86% | ChartMogul 2023 |
| $300k-1M | 45% | 62% | 76% | 85% | ChartMogul 2023 |
| $1-3M | 51% | 68% | 80% | 89% | ChartMogul 2023 |
| $3-8M | 54% | 68% | 81% | 85% | ChartMogul 2023 |
| $8-15M | 57% | 72% | 81% | 88% | ChartMogul 2023 |
| $15-30M | 56% | 69% | 82% | 87% | ChartMogul 2023 |
SaaS retention by customer size
Customer size moves retention further than company size does, and it does so in both panels, making it the most reliable place to start.
Across ChartMogul's measured ARPA bands, the median ranges from 50% gross retention for under $25 a month to 82% for above $1,000 a month - that's a 32 point spread against just 16 points across its ARR bands on the same measure (ChartMogul SaaS Benchmarks, 2023). The effect appears at every point in the distribution and is largest at the bottom, where the weakest quartile improves gross retention rate 33 points from end to end.
Bessemer's guidance from an earlier era says the same thing in target form: 70-80% gross retention for SMB contracts under $12,000, 80-90% for mid-market, above 90% for enterprise contracts over $50,000 (Bessemer State of the Cloud, 2019). Those are offered as targets to aim for rather than measured outcomes, and that edition states no population or method anywhere, so they belong here as corroboration of direction and not as benchmarks.
The practical reading is that a business selling at $20 a month will not reach enterprise retention by improving onboarding. The ceiling is set by what the product costs and who buys it. Moving up the price ladder changes the ceiling; retention work moves you within it. Both matter, and they are not substitutes for one another.
One caveat on the table below: ChartMogul excludes companies under $300k ARR from every ARPA aggregate (ChartMogul SaaS Benchmarks, 2023), so these bands describe established businesses. The smallest companies appear in the ARR table above but not in this one.
| ARPA per month | Bottom quartile | Median | Top quartile | Top decile | Source |
|---|---|---|---|---|---|
| Under $25 | 35% | 50% | 63% | 73% | ChartMogul 2023 |
| $25-100 | 51% | 64% | 76% | 83% | ChartMogul 2023 |
| $100-250 | 58% | 72% | 82% | 86% | ChartMogul 2023 |
| $250-500 | 64% | 74% | 84% | 90% | ChartMogul 2023 |
| $500-1k | 73% | 79% | 86% | 94% | ChartMogul 2023 |
| Over $1k | 68% | 82% | 91% | 94% | ChartMogul 2023 |
SaaS retention by pricing model
Pricing model moves retention by roughly the same magnitude as a large move in company size, which makes it worth checking before concluding that a churn problem is a product problem.
Benchmarkit's 2025 edition puts gross retention at 92% for usage-based pricing against 88% for both subscription and hybrid models (Benchmarkit B2B SaaS Metrics, 2025). On the net retention side, its 2026 edition reports 108% for usage-based against 98% for seat-based (Benchmarkit SaaS and AI-Native Metrics, 2026).
Treat the gross figure with some caution. The same publisher's 2024 edition reported usage-based gross retention three points lower than other models (Benchmarkit B2B SaaS Metrics, 2024), the opposite sign one edition earlier. That reversal and what it implies about reading any single edition of a benchmark survey is worked through on the NRR and GRR benchmarks page, which covers the expansion side of pricing model in more depth.
| Pricing model | Measure | Value | Source |
|---|---|---|---|
| Usage-based | Gross revenue retention | 92% | Benchmarkit 2025 |
| Subscription and hybrid | Gross revenue retention | 88% | Benchmarkit 2025 |
| Usage-based | Net revenue retention | 108% | Benchmarkit 2026 |
| Seat-based | Net revenue retention | 98% | Benchmarkit 2026 |
Which SaaS benchmark applies to you
Three questions settle which benchmark on this page applies to you.
What do you charge?
This usually dominates everything else. Find your average revenue per account in the customer-size table and read the band you are in. A business under $25 ARPA whose gross retention is 63% sits in the top quartile of its band; the same figure at $500-1,000 ARPA is below the bottom quartile. Company size rarely changes that reading.
Which panel resembles you?
If you are venture-backed B2B SaaS selling to mid-market or enterprise buyers, the operator surveys describe companies like yours, and 88-92% gross retention is the range to hold yourself against (High Alpha SaaS Benchmarks, 2025). If you are self-serve, prosumer or small-business SaaS billing monthly, the measured billing panel is the closer comparison, and the median for your size is a great deal lower than the survey figure.
Are the units the same?
Convert everything to one period before comparing. Annual and monthly figures for the same business differ by roughly an order of magnitude, and a substantial share of published SaaS churn figures don't state which they are. The retention rate calculator will put your own number on the same annual basis as the tables above, and the churn rate benchmarks page carries a full conversion table.
What good looks like
For established B2B SaaS, gross revenue retention in the high eighties with net retention above 100% is a defensible target, and it is where both surveys sit. For self-serve SaaS under $1M ARR, the measured median is between 53% and 62% and the top quartile between 70% and 76% (ChartMogul SaaS Benchmarks, 2023). Aim at your own band's top quartile, not at a number lifted from an enterprise survey. Whichever applies, the trend across four quarters tells you more than the level does, because the level is largely set by what you charge and who buys it.
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Methodology & Sources
What this page draws on
Every figure here comes from a report we hold and have read, and each table row names the report it came from. Where a publisher states its own population, window and measurement basis, that basis is reproduced beside the figure rather than summarized.
Two kinds of panel
Operator surveys (High Alpha SaaS Benchmarks, 2025), (Benchmarkit B2B SaaS Metrics, 2025) and (OpenView SaaS Benchmarks, 2022) collect self-reported figures from founders and finance leads. No response is reconciled against a billing system and participation is voluntary, so both a reporting effect and a selection effect are available. Measured panels (ChartMogul SaaS Benchmarks, 2023), (Stripe Churn Benchmarks, 2025) and (Recurly State of Subscriptions, 2025) compute from transaction data and carry the opposite bias: they describe the businesses that use one platform, and ChartMogul additionally excludes any company not active for the full twelve-month window.
Percentiles, not only medians
The ARR and ARPA tables report the bottom quartile, median, top quartile and top decile, because the distribution is wide enough that a median alone misleads. Those grids were read directly from the source document and cross-checked against a rendered image of the same page before being recorded.
Conversions
Monthly and annual rates on this page are converted by compounding rather than by multiplying or dividing by twelve. Where a conversion appears in prose it is our arithmetic on the publisher's figure and not something the publisher reported; the tables carry only what was published.
What is deliberately not here
Bessemer's contract-size bands are quoted as directional corroboration and labelled as targets, because that edition states no population or method (Bessemer State of the Cloud, 2019). No publisher's figure has been converted into a different metric: a gross retention figure is never presented as logo churn, and no figure is carried across editions of the same report as though the two formed one series.