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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. ChurnLens benchmarks every uploaded CSV against 14 industry verticals automatically.

Monthly Churn Rate Benchmarks

Monthly churn (logo churn) measures the percentage of customers who cancel in a given month. These are the medians we've observed across thousands of buyer-side CSV uploads processed through ChurnLens.

SectorMedian Monthly ChurnMedian Annual Churn (implied)Health Signal
SMB SaaS (<$10 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 / Payments4–7%39–58%High
HR / Payroll SaaS2–3%22–31%Moderate
Analytics / BI3–5%31–46%Moderate
Marketing Automation4–6%39–52%Moderate–High
DevTools / Infrastructure3–4%31–39%Moderate
Vertical / Industry SaaS2–4%22–39%Moderate
Compliance / LegalTech1.5–3%17–31%Low–Moderate
E-commerce / Shopify Apps6–10%52–72%Very High
EdTech B2B3–5%31–46%Moderate
Healthcare SaaS1.5–3%17–31%Low
Proptech / Real Estate4–7%39–58%High

Why Benchmarks Matter in Buyer-Side Due Diligence

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. Upload a CSV of the target's subscription history and get a buyer-side churn report that strips out the spin.

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Upload their CSV and see exactly how their churn, concentration, and revenue trends compare to industry medians — in minutes.

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Revenue Churn vs. Logo Churn: The Critical Difference

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.

What "Good" Churn Looks Like (by Deal Stage)

Not all SaaS companies should be judged by the same standard. Context matters:

Related Resources

Cite this data
ChurnLens (churnlens.site). "SaaS Churn Rate Benchmarks by Industry," 2026. CC BY 4.0.
CSV: saas-churn-benchmarks-2026.csv

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Frequently Asked Questions

What is hidden churn in a SaaS acquisition?

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.

How does ChurnLens score 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.

Why do SaaS acquirers need due diligence on churn?

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.

What red flags should I check before buying a SaaS business?

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.

Key facts
Risk dimensions scored5
Revenue-quality score range0-100
Built forAcquirers, PE, founders

Key terms, defined

Revenue concentration
The share of total revenue coming from the largest customers — high concentration is a churn and valuation risk.
Logo retention
The percentage of customers (logos) retained over a period, independent of expansion revenue.
Net revenue retention (NRR)
Revenue retained from existing customers including expansion and contraction, expressed as a percentage.

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80%
Overpay for Churn
4.2×
Real vs Reported
$340K
Avg Overpayment
23
Audit Checklist Points

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· · Published 2026-01-15