SaaS Churn Rate Benchmarks by Industry (2026)

Every SaaS team tracks churn. Far fewer teams benchmark it correctly. A 5% monthly churn rate means something very different at a B2B infrastructure company than it does at a consumer fitness app. Context matters, and so does knowing how much of that churn you could have prevented.

This guide compiles 2026 churn rate benchmarks by industry vertical, breaks down voluntary vs involuntary churn, and shows where failed payments fit into the picture.

Overall SaaS churn benchmarks

Before diving into verticals, here are the broad numbers most commonly cited across industry reports from Recurly, Baremetrics, ChartMogul, and ProfitWell (now Paddle).

A few things stand out. B2B consistently outperforms B2C. Enterprise contracts churn at a fraction of self-serve plans. And the gap between top quartile and median is massive, which means there's real room to improve if you're sitting in the middle.

Churn benchmarks by vertical

B2B SaaS

B2B SaaS tends to have the lowest churn rates in the subscription economy. Longer sales cycles, higher switching costs, and deeper product integration all contribute.

The pattern is clear: higher ARPU correlates with lower churn. That's not just because enterprise customers are "stickier." It's because high-value accounts get dedicated success teams, custom onboarding, and annual contracts that lock in commitment.

If you're running a self-serve B2B product at $49/month and seeing 5% monthly churn, you're not an outlier. You're average. The question is whether you can get below 3%.

B2C SaaS and subscriptions

Consumer subscriptions are a different animal. Lower price points, lower switching costs, and more impulsive purchase decisions create structurally higher churn.

Consumer fintech stands out here. Banking and financial tools have natural retention advantages: once someone connects their bank account and builds a transaction history, they're unlikely to switch over a few dollars a month.

Streaming is interesting because the industry has trained consumers to churn seasonally. People subscribe for a specific show, watch it, cancel, and resubscribe later. That behavior is now structural.

Subscription boxes

Physical subscription boxes have among the highest churn rates in the subscription economy.

The problem with physical boxes is fatigue. After 3-4 months of receiving curated items, novelty wears off. The product itself doesn't get more valuable over time the way software often does.

Edtech

Online education sits between B2B and B2C, depending on who's paying.

K-12 contracts churn the least because they follow academic calendar cycles and procurement processes that make switching difficult. B2C self-paced learning churns heavily because motivation fades. Most people who sign up for an online course stop using it within 30 days.

Fintech

Financial technology has a wide spread depending on the sub-vertical.

Crypto and trading platforms have high churn that's heavily correlated with market conditions. During bull markets, churn drops. During bear markets or periods of low volatility, users lose interest and leave.

The involuntary churn problem

Here's where it gets relevant for payment recovery. Across all these verticals, a significant chunk of churn isn't customers choosing to leave. It's customers whose payments fail and who never get around to fixing them.

Recurly's 2025 State of Subscriptions report found that involuntary churn accounts for an average of 28% of total churn across all subscription businesses. For some verticals, particularly those with higher price points and lower engagement frequency, it can reach 40%.

That's worth repeating. Up to 40% of your churn might be customers who wanted to stay but whose credit card expired, ran out of funds, or was flagged by their bank.

Why involuntary churn is the highest-ROI problem to solve

Voluntary churn requires you to build a better product, improve onboarding, adjust pricing, or change your market positioning. Those are important, but they're slow, uncertain, and expensive.

Involuntary churn requires you to send the right email at the right time. The ROI comparison isn't even close.

Here's a concrete example. Say you run a B2B SaaS with $100K MRR and 4% monthly churn. If 25% of that churn is involuntary, you're losing $1,000/month to failed payments. A good dunning sequence recovers 60-70% of those failures, which translates to $600-700/month saved.

That's $7,200-8,400/year in recovered revenue from a problem you can solve in an afternoon.

Compare that to reducing voluntary churn by the same amount. You'd need to significantly improve retention through product changes, success programs, or pricing adjustments. All worthwhile, but none of them are an afternoon's work.

How to benchmark your own churn

Raw churn rate is a starting point, but it hides important details. Here's how to get a clearer picture.

Step 1: Separate voluntary from involuntary. Tag each churned customer based on whether they actively canceled or whether their subscription ended due to payment failure. If you use Stripe, you can distinguish canceled from past_due to canceled transitions.

Step 2: Segment by plan and cohort. Your $19/month plan and your $199/month plan almost certainly have different churn profiles. Monthly cohort analysis reveals whether churn is improving or getting worse over time.

Step 3: Calculate revenue churn, not just logo churn. Losing ten $29/month customers is not the same as losing one $290/month customer, even though logo churn says they're equal. Revenue churn (sometimes called MRR churn) is the metric that matters for financial planning.

Step 4: Compare to the right benchmark. Don't compare your self-serve B2C product to enterprise B2B SaaS benchmarks. Use the vertical-specific data above and find the segment that matches your business model.

What good looks like

Based on the data, here are targets worth aiming for:

For involuntary churn specifically, anything above 1% monthly means you're leaving money on the table. A proper dunning sequence with email and SMS should bring involuntary churn below 0.5% for most SaaS businesses.

The compounding effect of churn reduction

A 1% reduction in monthly churn doesn't sound dramatic. Over 12 months, it changes your business trajectory.

Consider a SaaS with $100K MRR and $5K in new MRR added monthly:

Reducing churn from 5% to 3% adds $21K in MRR by month 12 and $150K in cumulative revenue over the year. If even a third of that reduction comes from fixing involuntary churn, you're looking at $50K in revenue that was sitting there waiting to be recovered.

Summary

Churn benchmarks only matter if you know which kind of churn you're dealing with. Voluntary churn tells you about product-market fit, pricing, and competition. Involuntary churn tells you about your payment infrastructure and recovery systems.

The data is consistent across verticals: 20-40% of churn is involuntary. For most SaaS businesses, fixing failed payments is the fastest, cheapest way to reduce total churn.

Benchmark your churn against your specific vertical. Separate voluntary from involuntary. Then fix the involuntary piece first, because the ROI is immediate and the effort is low.