B2B SaaS churn benchmarks 2026: medians, quartiles, and what they cost

The headline benchmarks for 2026

The four annual reports that practically anyone takes seriously on SaaS churn benchmarking diverge by a few percentage points on most metrics, but they agree on the median direction and the percentile distribution. The synthesised picture for 2026:

Sources synthesised: ProfitWell / Paddle 2026 State of Subscription, KeyBanc Capital Markets 2024 SaaS Survey, SaaS Capital 2025 Retention Report, OpenView 2025 Expansion SaaS Benchmarks.

Two observations on this table. First, the spread is large. Top quartile to bottom quartile on monthly logo churn is roughly 5x, which means the average B2B SaaS underperforms a top-tier peer by 5x on the most important retention metric. Second, the medians have shifted unfavourably since 2021. Median monthly logo churn was approximately 2.8 percent in 2021, median NRR was 117 percent. The 2026 medians are notably worse, which means top-quartile performance today still does not look as good as median performance four years ago.

Benchmarks by ACV band

ACV is the single best predictor of monthly churn rate. Higher ACV means higher buyer scrutiny at acquisition, deeper implementation, broader stakeholder buy-in, and longer contract terms. Lower ACV means impulse buys, weak implementation, fragile contracts. The distribution is highly non-linear:

What this means strategically: every operator should know which ACV band they sit in and benchmark against that band specifically, not against the blended SaaS average. A $5K ACV SMB SaaS comparing itself to the 3.5 percent blended median is structurally misled, because the right comparison is the 3 to 5 percent SMB band, which puts them at-or-below the appropriate cohort median. Conversely, a $40K mid-market SaaS at 3 percent monthly churn is genuinely underperforming, because the appropriate cohort median is 1 to 2 percent.

Benchmarks by vertical

Vertical SaaS systematically outperforms horizontal SaaS on gross retention, typically by 30 to 50 percent in the same ACV band. The reason is switching cost: a vertical SaaS that handles billing, compliance, and operations for one industry (vet practices, construction, dental, accounting) is harder to replace than a horizontal CRM or analytics tool that has many alternatives. Synthesised vertical churn ranges by category:

• Fintech B2B SaaS: 0.8 to 1.5 percent monthly. Switching banks or payment processors is operationally painful, so retention is high. Plaid, Stripe Connect, modern fintech infra all sit in this band.
• Healthcare B2B SaaS: 1.0 to 2.0 percent monthly. EHR systems, practice management, claims processing all benefit from integration depth and compliance overhead.
• Vertical SaaS (vet, dental, legal): 0.8 to 1.8 percent monthly. Deep workflow integration means low churn, slow growth, very profitable cohorts.
• Horizontal CRM / sales tools: 2.5 to 5.0 percent monthly. Many alternatives, easy to swap, often weak implementation.
• Marketing tech (martech): 3.0 to 6.0 percent monthly. Tool consolidation in 2023-25 hit martech hardest, with mid-tier vendors disproportionately churned.
• HR tech (payroll, benefits): 1.5 to 3.0 percent monthly. Switching costs high (compliance, employee data) but increasing competition.
• Developer tools and infrastructure: 2.0 to 4.0 percent monthly. Usage-based pricing introduces consumption volatility that looks like churn but is often just optimisation.
• Educational / e-learning B2B: 4.0 to 7.0 percent monthly. Procurement cycles in education are weak, and content is often viewed as replaceable.

The vertical-vs-horizontal gap is one of the largest structural advantages in SaaS economics. Vertical operators frequently trade at higher multiples than horizontal operators at the same growth rate, because the implied LTV is meaningfully higher and the cost of new customer acquisition is offset over a longer paying lifetime.

Translating benchmarks into three-layer cost

A benchmark is operationally useful only if it maps to a cost number you can act on. Using the three-layer model from the true cost page: at any ARR scale, a percentage point of monthly churn improvement is worth roughly 4 to 6 times the direct MRR impact across the three layers, with the multiplier rising as ARR scales because the expansion layer compounds harder.

Approximate annualised value of a 1-point monthly churn improvement, by ARR scale:

• $1M ARR: $170K to $220K. See the $1M ARR page.
• $5M ARR: $650K to $930K. See the $5M ARR page.
• $10M ARR: $1.25M to $1.6M. See the $10M ARR page.
• $25M ARR: $3M to $5M. See the $25M ARR page.
• $50M ARR: $6M to $10M. See the $50M ARR page.
• $100M ARR: $12M to $20M. See the $100M ARR page.

The multiple-compression effect at exit roughly triples or quadruples these numbers in enterprise value terms. A 1-point churn improvement at $25M ARR worth $4M operationally is worth $15M to $25M in enterprise value at Series C pricing. The valuation arithmetic is on the valuation impact page.

Frequently asked questions

Related reading on ChurnCost

• NRR benchmarks by stage, the percentile-by-cohort drill-down.
• Gross vs net retention, the floor and ceiling framework.
• B2C subscription churn cost, the consumer-app counterpart to this page.
• SaaS churn calculator hub, with calculators for each segment.
• Methodology, what these numbers actually mean.
• saasvaluationmultiple.com, for the multiple math that pairs with these retention benchmarks.