Updated benchmarks for buyer-side SaaS due diligence. Compare any acquisition target against industry medians for monthly churn, annual churn, and logo retention across 14 SaaS sectors. Download CSV (CC BY 4.0) ↓
If you're buying a SaaS business, the first question isn't "how much revenue do they have?" — it's "how much of that revenue will still be here in 12 months?" Industry-relative churn benchmarks are the fastest way to separate a healthy asset from a ticking decay bomb.
TL;DR: Monthly churn varies dramatically by sector: enterprise SaaS averages 1-2%, SMB SaaS runs 5-8%, and consumer apps can exceed 10%. Before evaluating a target, look up its sector median — anything meaningfully above the benchmark warrants deeper investigation. The 14 sector bands on this page are editorial estimates compiled from public research, not measured ChurnLens data.
Monthly churn (logo churn) measures the percentage of customers who cancel in a given month. The bands below are ChurnLens editorial estimates — indicative sector ranges compiled from public SaaS benchmarking research, not measured from ChurnLens customer data or uploaded CSVs. See Sources & methodology.
| Sector | Median Monthly Churn | Median Annual Churn (implied) | Health Signal |
|---|---|---|---|
| SMB SaaS (<$100 MRR/customer) | 5–8% | 46–63% | High churn |
| Mid-Market SaaS ($100–$1K MRR) | 3–5% | 31–46% | Moderate |
| Enterprise SaaS ($1K+ MRR) | 1–2% | 11–22% | Good |
| FinTech / Payments | 4–7% | 39–58% | High |
| HR / Payroll SaaS | 2–3% | 22–31% | Moderate |
| Analytics / BI | 3–5% | 31–46% | Moderate |
| Marketing Automation | 4–6% | 39–52% | Moderate–High |
| DevTools / Infrastructure | 3–4% | 31–39% | Moderate |
| Vertical / Industry SaaS | 2–4% | 22–39% | Moderate |
| Compliance / LegalTech | 1.5–3% | 17–31% | Low–Moderate |
| E-commerce / Shopify Apps | 6–10% | 52–72% | Very High |
| EdTech B2B | 3–5% | 31–46% | Moderate |
| Healthcare SaaS | 1.5–3% | 17–31% | Low |
| Proptech / Real Estate | 4–7% | 39–58% | High |
When you're evaluating a SaaS acquisition, the seller's reported churn number is almost always optimistic. Common inflations include:
ChurnLens normalizes for all three tricks. Send a CSV of the target's subscription history and get a buyer-side churn report that strips out the spin.
Upload their CSV and see exactly how their churn, concentration, and revenue trends compare to industry medians — in 2 business days.
Run a Churn Report →Many sellers highlight logo churn (customers lost) but downplay revenue churn (MRR lost). In B2B SaaS, these can diverge dramatically:
ChurnLens computes both metrics from your CSV and flags any divergence that would mislead a buyer.
Gross churn is revenue lost from cancellations and downgrades, divided by starting MRR. It never goes below zero. Net churn subtracts expansion revenue from that loss, so it can go negative — the “net negative churn” a seller will put on the first slide.
The gap between them is the whole argument. A business running 8% gross and 2% net churn is losing eight percent of its revenue base every month and covering six of those points by selling more to the customers who stayed. Reported as net, it looks like a healthy business. Reported as gross, it is a leaky bucket with a fast tap.
That distinction matters more to a buyer than to an operator, for a specific reason: expansion revenue is the first thing to stall after a change of ownership. The upsells were relationship-driven, the relationships belonged to the founder, and the founder has just been paid and left. Gross churn is the number you inherit. Net churn is the number you were shown.
So ask for both, computed separately, over the same period — and ask for expansion broken out by customer, because net negative churn produced by two or three accounts expanding is not a retention story, it is a concentration story. If the seller can only produce net churn, that is itself an answer.
Not all SaaS companies should be judged by the same standard. Context matters:
The sector bands on this page and in the downloadable CSV are ChurnLens editorial estimates: indicative ranges compiled and rounded from publicly available SaaS benchmarking research, then grouped into the 14 buyer-side segments we use in due diligence. They are not derived from ChurnLens customer data and not from uploaded CSVs — the free analyzer runs entirely in your browser and never transmits a file.
Primary public references:
No public source publishes monthly churn for every one of these 14 segments; where direct data was unavailable the band reflects our own judgement and is widened to show that uncertainty. Distinguish logo churn from revenue churn, and monthly from annual, when comparing — conflating them is the most common benchmark error. Treat any figure here as a starting hypothesis to verify against a primary source, never as a measured value. Last reviewed 25 July 2026.
Sellers hide churn in 7 ways. Most buyers catch 0. Get the full checklist + a sample report on a synthetic $48K MRR case study.
Get the free checklist →Get the 23-point buyer-side churn audit checklist and see exactly what to demand from any seller's subscription data.
Want to automate this analysis? Get the 23-point churn audit checklist →Hidden churn is revenue decay that headline metrics conceal: customers on annual plans who have already stopped using the product, paid accounts sitting inactive, or revenue concentrated in a few logos about to leave. A SaaS business can show flat MRR while its real retention is collapsing. ChurnLens surfaces these signals before you buy, so you price the deal on true revenue quality.
ChurnLens analyzes five dimensions: revenue concentration, logo retention, annual-plan churn risk, inactive paid accounts, and MRR decline patterns. Each is weighted into a single 0-100 revenue-quality score benchmarked against comparable SaaS businesses. The score tells an acquirer whether reported MRR is durable or propped up by customers who are one renewal away from leaving, all before the deal closes.
Purchase price is usually a multiple of recurring revenue, so overstated retention directly inflates what you pay. A business with 20% hidden annual-plan churn is worth far less than its MRR implies. Buyers who skip churn diligence discover the decay only after closing, when it is too late to renegotiate. ChurnLens gives that visibility during the evaluation window instead.
Watch for revenue concentrated in a handful of accounts, a widening gap between signups and active users, annual contracts that never renew, and MRR that grows only through discounting. Each pattern signals fragile revenue. ChurnLens automatically flags these red flags from uploaded revenue data and ranks them by how much they threaten the durability of the recurring revenue base.
| Risk dimensions scored | 5 |
|---|---|
| Revenue-quality score range | 0-100 |
| Built for | Acquirers, PE, founders |
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