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Blog/Benchmarks

SaaS churn rate benchmarks 2026 - what's good, what's average, what's broken

The 2026 SaaS churn rate benchmarks by ARR tier and segment. How to calculate gross vs net churn correctly, what numbers should worry you, and how the best-performing teams reduce both.

Exeechain Research·April 8, 2026·9 min read

Short answer

What is a good SaaS churn rate?

A good SaaS churn rate is under 5% annual gross revenue churn for enterprise ($50K+ ACV), 5–8% annual for mid-market ($5K–$50K ACV), and 5–7% monthly for SMB and self-serve (under $500 ACV). Median performance is roughly double the top quartile in every tier. Net revenue churn is the better cross-tier benchmark: top quartile is negative.

What's a good SaaS churn rate? The honest answer is “it depends on your ACV, segment, and motion” - and that answer is unsatisfying enough that founders often pick a number off Twitter and calibrate to it. This guide breaks down the 2026 benchmarks by ARR tier and sales motion, walks through how to calculate gross vs net churn correctly (most teams get this wrong), and surfaces the patterns that separate top-quartile retention from average.

Definitions, briefly

Three numbers matter, and they're often confused:

  • Gross revenue churn(also “gross churn” or GRR-loss): the percentage of MRR lost to cancellations and downgrades, ignoring expansion. This is the “leaky bucket” number.
  • Net revenue churn: gross churn minus expansion MRR (upgrades, seat additions, usage-based growth) from existing customers. Negative net churn is the holy grail - your existing base grows even if you sign zero new customers.
  • Customer churn (logo churn): the percentage of customer accounts that cancel, regardless of MRR. This is usually higher than revenue churn because small customers churn at a higher rate.

When someone quotes a churn rate, ask which one. Most SaaS benchmarking comparisons fail because the comparing party is using a different denominator.

Benchmarks by ARR tier (2026)

The single biggest variable in churn rate is ACV. Self-serve PLG SaaS with $50/mo customers is in a different universe than mid-market $30K-ACV SaaS. Top-quartile annual gross churn rates by tier:

SaaS gross revenue churn benchmarks by ACV tier, top quartile vs median, 2026
Tier (ACV)Top quartileMedianWhy the tier tolerates it
SMB / PLG ($50–$500)5–7% monthly8–10% monthlyAcquisition cost is low enough that the model works at 60–80% annual gross churn.
Mid-market ($5K–$50K)5–8% annual12–18% annualCAC payback runs 12–18 months, so a customer has to survive past year one to pay for itself.
Enterprise ($50K+)Under 5% annual8–12% annualMulti-year contracts and procurement friction hold accounts in place between renewal windows.

Note the unit change between rows. SMB churn is quoted monthly and enterprise churn annually, and comparing the two without converting is the single most common way a founder concludes they are doing fine. The conversion is in the churn calculator, and the arithmetic is under “How to calculate it correctly” below.

The best-performing public vendors in the enterprise tier do not disclose gross churn at all. What they publish is net revenue retention, and figures consistently above 110% are only reachable with gross churn in the low single digits, so that is the inference to draw rather than a reported number to copy.

Net churn is more useful as a benchmark across tiers because it neutralizes for expansion strength. Top-quartile net churn is negative (-5% to -15% annually) - the customer base grows ~10% even with zero new logos. Median net churn is roughly flat (0% to +5%). Anything above 10% net churn is a structural problem, not a CS problem.

How to calculate it correctly

Three calculation pitfalls trip teams up:

The denominator drift problem.If you measure monthly churn as “canceled MRR ÷ end-of-month MRR,” the number looks better than reality (because end-of-month includes new sales). The correct denominator is start-of-period MRR.

The cohort smearing problem. Aggregate churn rates hide cohort-specific patterns. A vintage cohort that churns hard at month 14 will be averaged out by newer cohorts that haven't aged into the danger zone yet. Always benchmark by cohort, not by aggregate.

The annualization problem. Compounding 5% monthly churn doesn't equal 60% annual churn - it's 46%. The formula is 1 - (1 - monthly)^12. Most public benchmarks state annual figures; if you're using monthly internally, convert properly.

What top-quartile teams do differently

The patterns that consistently separate top-quartile retention from average aren't mysterious. They're three behaviors:

  1. Churn prediction runs daily, not quarterly. Top teams know which customers are at risk this week, not which were at risk last quarter. The save runway is 4–12 weeks; quarterly reviews catch nothing.
  2. QBRs run on every account, not just enterprise. When QBRs take eight hours, teams skip the bottom 60% of the customer base. When they take twenty minutes (because AI drafts them), every customer gets one. Coverage compounds.
  3. Save outreach is drafted, not authored. Manual save emails get sent to the top 10 at-risk accounts; the long tail churns silently. AI-drafted save emails for every flagged account close the gap without growing headcount.

The reduction playbook

If your gross churn is above the median for your tier, the highest- ROI move is almost never product (assuming the product works). The highest-ROI move is closing the gap between “customer decided to leave” and “CS team finds out.” AI churn prediction is the structural fix; everything else (better onboarding, better QBRs, better save offers) follows from it. Read the breakdown of the six signals that predict churn for the inputs that matter most.

Frequently asked questions

What is a good SaaS churn rate?

A good SaaS churn rate depends almost entirely on average contract value. For enterprise SaaS above $50K ACV, good is under 5% annual gross revenue churn. For mid-market between $5K and $50K ACV, good is 5–8% annual. For SMB and self-serve products under $500 ACV, good is 5–7% monthly, because low acquisition cost makes the model work at a churn rate that would kill an enterprise vendor.

What is the average churn rate for SaaS companies?

Median SaaS gross revenue churn runs roughly 8–12% annually for enterprise, 12–18% annually for mid-market, and 8–10% monthly for SMB and self-serve. Median net revenue churn across tiers is roughly flat, between 0% and +5%, meaning expansion revenue from existing customers roughly cancels out what is lost to cancellations and downgrades.

What is the difference between gross churn and net churn?

Gross revenue churn counts only the MRR lost to cancellations and downgrades. Net revenue churn subtracts expansion MRR from existing customers, so upgrades and seat additions offset the losses. Gross churn measures how leaky the bucket is; net churn measures whether the bucket is filling anyway. Net churn can be negative, gross churn cannot.

How do you calculate SaaS churn rate correctly?

Divide the MRR lost in the period by the MRR at the START of the period, never the end. Using end-of-period MRR includes new sales in the denominator and flatters the number. Calculate it per cohort rather than in aggregate, because an old cohort churning hard is hidden by newer cohorts that have not aged into the danger zone yet.

How do you convert monthly churn to annual churn?

Annual churn is 1 minus (1 minus monthly churn) raised to the twelfth power, not monthly churn multiplied by twelve. 5% monthly churn is 46% annually, not 60%. The difference matters because most published benchmarks are annual figures and most internal dashboards track monthly, so teams routinely compare themselves against a number 14 points harsher than the one they computed.

What is negative net revenue churn?

Negative net revenue churn means expansion revenue from existing customers exceeds everything lost to cancellations and downgrades, so the customer base grows in revenue terms even with zero new logos. Top-quartile SaaS companies run between -5% and -15% net revenue churn annually, which is the same thing as net revenue retention of 105% to 115%.

Where these numbers come from

The ranges on this page are the industry ranges, not a measurement Exeechain took. Exeechain does not aggregate churn across customer books and will not publish a benchmark it did not compute. Treat the table as the shape of the distribution and your own number as the only one that decides anything. To get that number, run the churn calculator on your own start-of-period MRR, or connect Stripe and let the leak scan read it directly.

Evaluating SaaS churn prediction against other platforms? See how Exeechain compares head-to-head with Gainsight, ChurnZero, Vitally, and Planhat.

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