SaaS Churn Rate Benchmarks by Industry 2026

Not all churn is created equal. A 5% monthly churn rate is dangerous for an enterprise SaaS company but perfectly normal for a B2C subscription service. If you don't know your industry's baseline, you can't tell whether your retention is a strength or a crisis.

This guide compiles churn rate benchmarks by industry, company size, and customer segment from multiple sources: public SaaS data (KeyBanc, Recurly, Statista, Pacific Crest), industry surveys (ProfitWell, ChartMogul, OpenView), and our own analysis of 500+ B2B SaaS subscription databases.

What We Found

Before diving into the numbers, the most important finding: **there is no single "healthy" churn rate**. A 3% monthly churn rate is a competitive advantage in some segments and a warning sign in others.

| Segment | Median Monthly Churn | Good | Excellent | Dangerous | | B2B SaaS (SMB) | 5-7% | < 4% | < 2% | > 8% | | B2B SaaS (Mid-Market) | 3-5% | < 3% | < 1.5% | > 6% | | B2B SaaS (Enterprise) | 1-2% | < 1.5% | < 0.5% | > 3% | | B2C Subscription | 5-10% | < 5% | < 3% | > 12% | | Marketplace (two-sided) | 8-15% | < 8% | < 5% | > 18% | | DTC / Subscription Box | 5-10% | < 6% | < 4% | > 12% |

Churn Rate by Industry Vertical

Industry matters more than business model. Here are the median monthly churn rates for B2B SaaS by vertical, based on 2025-2026 data:

| Industry Vertical | Median Monthly Churn | Annualized Churn | Key Drivers | | Analytics / BI | 4.2% | 40% | High competition, low switching costs | | Collaboration / Communication | 4.8% | 45% | Team dependency, buyer-vs-user mismatch | | CRM / Sales | 3.8% | 37% | High stickiness once configured | | Customer Success | 3.2% | 32% | Low churn — CS tools = retention mandate | | DevOps / Infrastructure | 2.5% | 26% | High switching costs, deep integration | | E-commerce / Retail | 5.5% | 50% | Price sensitivity, seasonal churn | | Fintech / Payments | 4.5% | 42% | Regulatory moats, high onboarding friction | | Healthtech | 2.0% | 21% | Long sales cycles, compliance lock-in | | HR / People Operations | 3.5% | 35% | Annual renewal cycle, multi-stakeholder | | Marketing / SEO | 5.8% | 51% | Low switching costs, agency-driven churn | | Productivity | 4.5% | 42% | Consumer-grade expectations | | Security / Compliance | 2.2% | 23% | High switching costs, compliance lock-in | | Vertical SaaS (specific industry) | 3.0% | 30% | Niche moats, fewer competitor alternatives |

Revenue Churn vs. Logo Churn

One of the most common benchmarking mistakes is comparing logo churn (percentage of customers lost) with revenue churn (percentage of revenue lost) as if they measure the same thing.

In enterprise SaaS, logo churn and revenue churn can differ by orders of magnitude. A company that loses 3% of its customers per month (logo churn) might only lose 1% of its revenue (revenue churn) if the churning customers are on small plans — or 6%+ if the churning customers are on enterprise plans.

| Metric | B2B SMB | B2B Mid-Market | B2B Enterprise | B2C | | Median logo churn (monthly) | 5.8% | 3.8% | 1.5% | 7.2% | | Median revenue churn (monthly) | 4.2% | 2.5% | 0.8% | 6.5% | | Typical logo:revenue churn ratio | 1.4:1 | 1.5:1 | 1.9:1 | 1.1:1 |

The gap between logo and revenue churn widens as your ACV (Average Contract Value) distribution spreads. Companies with a long tail of small customers and a few large accounts can see 3-5x differences between logo and revenue churn rates.

What Drives Above-Average Churn

Companies in the top quartile for retention share these characteristics:

**Time-to-value < 7 days.** The faster a customer experiences the product's core value, the lower their churn risk. Companies with first-week activation rates above 60% have 40% lower churn at month 6.

**Multiple stakeholder adoption.** Products used by 3+ people per account have 55% lower churn than single-user accounts.

**Integration depth.** Products with 4+ integrations have 30% lower churn than standalone tools.

**Contract length.** Annual contracts have 60% lower monthly churn than monthly contracts — but this is partly selection bias (committed customers self-select into annual plans).

**Payment method diversity.** Customers with multiple payment methods on file have 70% lower involuntary churn rates.

Churn by Company Size (ARR)

| Company ARR | Median Monthly Churn | Primary Churn Cause | | < $100K | 8-12% | Product-market fit still forming | | $100K - $500K | 5-8% | Onboarding gaps, feature gaps | | $500K - $2M | 3-5% | Scaling support, account management | | $2M - $10M | 2-3% | Competitive displacement, expansion churn | | $10M+ | 1-2% | Macroeconomic, consolidation |

**Key insight:** Churn rates do not monotonically decrease with company size. Many companies hit a churn spike at $500K-$2M ARR because they outgrow their founder-led support model but haven't hired a CS team yet. This is the "valley of retention" — and it's where most churn prediction tools deliver the highest ROI.

How to Use These Benchmarks

Step 1: Calculate Your Actual Churn

If you don't know your exact churn rate, run this:

Pick a starting month (e.g., January 1)

Count customers who were active at that date

Count customers who cancelled within the next 30 days by March 1

Month 1 churn = cancellations / starting customers

Don't include free users in this calculation. Free churn is a different metric.

Step 2: Compare Against Your Segment

Find your industry vertical and ARR band in the tables above. If your churn rate is at or below the median for your segment, you're in good shape. If it's in the "Dangerous" zone, you need to act.

Step 3: Track the Right Leading Indicators

Benchmarks tell you where you stand relative to peers. But they're lagging indicators. To improve your churn rate, track:

**Login frequency trend** per customer (weekly comparison)

**Feature adoption breadth** (% of total features used per account)

**Support ticket sentiment** (positive vs negative language ratio)

**Payment failure rate** (first-attempt success rate)

**Time-to-first-value** (days from signup to core action)

These leading indicators predict churn 2-4 weeks before the cancellation event.

The Bottom Line

The SaaS industry median monthly churn rate is approximately 4-5% for B2B and 5-8% for B2C. If you're below your segment's median, your retention is a competitive advantage. If you're above it, you have a clear opportunity — most churn is predictable before it happens, and the tools to detect it cost less than the revenue you're losing.

Track your numbers. Know your segment. And if your churn rate is above the median for your industry, start asking which customers are at risk today — not what last month's rate was.