The average monthly subscription churn rate is 5.3%. That number is almost useless.
A 5% monthly rate that's perfectly healthy for a subscription box would be an emergency at an enterprise SaaS company. A 3% rate that looks strong for a B2C app would be alarming for a B2B platform with annual contracts. Churn benchmarks only mean something when you compare against the right peer group: your industry, your company size, your pricing tier, and your business model.
This page compiles churn data from Recurly (2,200 merchants, 76 million subscribers), Churnkey (15 million subscriptions, 3 million cancellation sessions), ChartMogul (3,500 software companies), Paddle, and published industry research. Use it to benchmark your own churn rate against companies that actually look like yours.
Key Takeaways
- B2B SaaS averages 3.8% monthly churn; B2C averages 6.5%. Enterprise targets under 1% monthly, while SMB tolerates 3–5%.
- Subscription boxes churn 10–15% monthly, with 68% of that from failed payments rather than conscious cancellations.
- Annual plans reduce churn by roughly half compared to monthly, and annual subscribers are about 2x more profitable.
- Win-back is heavily front-loaded: 45% of returning subscribers come back within 30 days, 66% within 90 days.
Overall Subscription Churn Benchmarks
| Metric | Value |
|---|---|
| Average monthly churn (all subscriptions) | 5.3% |
| Top performers | Below 3% |
| B2B average (Software, Professional Services) | 3.8% |
| B2C average (Digital Media, Consumer Goods, Retail, Education) | 6.5% |
| Average annual customer retention rate | 72% |
| Median overall annual churn | 3.27% |
| Voluntary share of total churn | 60–80% (typically ~75%) |
| Involuntary share of total churn | 20–40% (varies by business type) |
The B2B/B2C gap is structural. B2B subscriptions involve multiple stakeholders, approval chains, and deeper integrations. Canceling requires organizational effort. B2C subscriptions can be canceled with a single tap, and customers are more price-sensitive with lower switching costs.
Involuntary churn (failed payments, not conscious cancellations) makes up roughly a quarter of total churn on average, but the range is wide: as low as 20% for some SaaS businesses, as high as 68% for subscription boxes. The two types require completely different strategies, which is why tracking them separately matters. More on involuntary churn below.
Here's the one that matters: even a manageable-sounding 5% monthly churn compounds to 46% of customers lost over a year. At 10%, you're replacing over 70% of your base annually.
| Monthly Churn | Annual Customer Loss |
|---|---|
| 2% | 21% |
| 3% | 31% |
| 5% | 46% |
| 8% | 63% |
| 10% | 72% |
| 15% | 87% |
That compounding is why a small improvement in monthly churn moves the needle so much. Bain & Company's research found that a 5% improvement in customer retention can increase profits by 25% to 95%.
SaaS Churn Benchmarks
By Company Size
Company size is one of the strongest predictors of churn. Larger companies with higher-value contracts churn less, and the pattern holds across every dataset.
| Segment | Monthly Churn |
|---|---|
| SMB (ACV under $10K) | 3–5% |
| Mid-Market | 1.5–3% |
| Enterprise (ACV over $100K) | 1–2% |
| Best-in-class | Under 1% |
Why does enterprise churn so much less? Contracts are longer, integrations run deeper, switching costs are higher, and cancellation decisions involve multiple people. SMB churn runs higher for the inverse reasons, plus a factor most people forget: small businesses themselves fail at higher rates. Census Bureau data shows roughly 20% of employer firms exit within their first year. Some of your "churn" is your customers going out of business.
By Company Stage
| Stage | Monthly Customer Churn |
|---|---|
| Pre-PMF / Early-stage | ~5.7% |
| Growth ($1M+ ARR) | ~3% |
| Scale ($8M+ ARR) | ~2.5% |
| Large ($15M+ ARR) | ~1.8% |
Churn improves as companies mature and find product-market fit. The biggest drop happens between pre-PMF and growth stage, which is typically when companies hire dedicated customer success instead of relying on founders to manage retention. By the $15M+ stage, many companies achieve near-zero or negative net churn, meaning expansion revenue from existing customers outpaces losses from cancellations.
By SaaS Vertical
Infrastructure tools that embed deeply into workflows see the lowest churn. Marketing and sales tools, where competition is fierce and switching takes five minutes, see the highest.
| Vertical | Monthly Churn |
|---|---|
| Infrastructure SaaS | 1.8% |
| HR & Back Office | 4.8% |
| Fintech | ~1% / ~12% |
| Marketing & Sales Tools | 4.8–8.1% |
| Healthcare SaaS | 7.5% |
| EdTech | 9.6% |
Across all these verticals, buyer seniority turns out to be the single strongest predictor. Software purchased by C-suite executives churns 3.6 times slower than tools bought by managers and individual contributors. Executive purchases involve more evaluation, more stakeholders, and more organizational commitment, all of which make cancellation less likely.
By ARPU and Pricing Tier
How much customers pay is directly tied to how long they stay.
| ARPU Range | Gross MRR Churn (Median) |
|---|---|
| Under $25/month | 8.2% |
| Under $100/month | 6–9% |
| $100–500/month | 3–6% |
| Over $500/month | 2.4% |
| Over $1,000/month | ~1.8% |
Higher ARPU customers get more onboarding attention, sign longer contracts, integrate more deeply, and face higher switching costs. Lower ARPU customers take less time deciding to buy and just as little time deciding to cancel.
The expansion picture makes this starker. Only 2% of SaaS companies with ARPU under $25/month achieve net revenue retention above 100%. Nearly half of companies charging over $500/month do.
Net Revenue Retention (NRR)
NRR measures how much revenue you keep and expand from last year's customers, excluding new sales. Investors fixate on it because a company with 120% NRR grows 20% annually from existing customers alone, before closing a single new deal.
| Segment | Median NRR |
|---|---|
| Early stage ($1–10M ARR) | 98% |
| B2B SaaS overall | 82–106% |
| Scale ($100M+ ARR) | 115% |
| Best-in-class (e.g., Snowflake, Datadog) | 120–130%+ |
| B2C (e.g., Spotify) | ~75% |
Below 100% means you need new customers just to stay flat. Above 100% means your existing base grows on its own. The gap compounds fast: two companies starting at $10M ARR, one with 120% NRR and one with 95%, will be $15M apart after three years from retention alone.
One lever worth noting: NRR runs 10 to 20 percentage points higher for annual plans compared to monthly. Annual customers have more time to adopt the product and reach value before a renewal decision.
AI-Native SaaS
AI-native products are a new category with a retention problem all their own. ChartMogul's Retention Report (covering roughly 200 AI-native companies) shows what they call the "AI tourist" effect: users sign up out of curiosity, experiment briefly, and churn.
| Segment | Gross Revenue Retention |
|---|---|
| AI-native overall | 40% |
| Premium AI (over $250/month) | 70% |
| Budget AI (under $50/month) | 23% |
For context, ChartMogul's broader B2B SaaS dataset shows a median NRR of 82%. Even premium AI tools at 85% NRR are only in line with the B2B median, not above it. Budget AI at 32% NRR is in a category of its own. The gap suggests that pricing and commitment level matter more than the underlying technology.
There is a positive trend. Median GRR for AI-native SaaS improved from 27% in January 2025 to 40% by September 2025, suggesting that as casual experimenters leave, the remaining customer base is stabilizing.
Ecommerce & Subscription Box Benchmarks
Ecommerce subscriptions work differently from SaaS. Products are physical, margins are tighter, and customer motivation is often emotional (discovery, convenience) rather than operational.
By Subscription Model
| Model | Monthly Churn |
|---|---|
| Access / Membership | 5–8% |
| Replenishment | Under 4% |
| Curation / Boxes | 10–15% |
Replenishment subscriptions churn least because the value is habitual: a consumable product shows up on a predictable schedule and the customer uses it without thinking. Curation boxes churn most because they depend on novelty, and novelty fades. Meal kits run the highest churn in the category at 12.7%, driven by diet fatigue and the effort of actually cooking.
Ecommerce Subscription Overview
| Metric | Value |
|---|---|
| Subscription ecommerce monthly churn | 3.4% average |
| Traditional ecommerce annual churn | 70–75% |
| Average DTC retention rate (2026) | 31% |
| Top-performing DTC retention | 45–55% |
| Revenue from returning customers | 60% |
The difference between average (31% retention) and top performers (45–55%) comes down almost entirely to whether the business has a structured post-purchase email program and subscription offering. Lifecycle marketing is the primary lever separating profitable DTC brands from those burning cash on acquisition.
Subscription Box Specifics
The subscription box market reached $42.5 billion in 2025 and is projected to hit $124.1 billion by 2034 (12.64% CAGR). Growth is strong, but the retention challenge is brutal.
| Metric | Value |
|---|---|
| Average monthly churn | 10–15% |
| Top performers | Under 3% |
| Cancellations in first 90 days | 44% |
| Involuntary churn share | 68% |
| Largest segment by revenue | Food & beverage (30%) |
Two numbers jump out. First: 44% of subscription box cancellations happen within the first 90 days, which makes onboarding and the initial unboxing experience make-or-break. Second: 68% of box churn is involuntary, far higher than the 20–40% range typical in SaaS. That's not customers choosing to leave. Their payment failed. For subscription box businesses, payment recovery isn't a nice-to-have. It's the single highest-ROI retention investment you can make.
What Drives Churn Rates Up or Down
Why Customers Cancel
Churnkey analyzed 3 million cancellation sessions and found that the stated reasons are more nuanced than they appear.
| Reason | Share |
|---|---|
| Budget limitations | 33% |
| Infrequent usage | 2nd most cited (up 3% YoY) |
| Unmet expectations | 3rd most cited |
| Alternative solutions | ~4% |
Worth digging into the budget finding. After analyzing millions of freeform follow-up responses, Churnkey found that "budget limitations" frequently works as a catch-all for product frustration, disillusionment, or bad experiences. Price is the easiest thing to complain about. If your cancellation survey is dominated by budget concerns, the real issue may be a value perception gap, not pricing.
What Saves Them
When subscribers do reach a cancellation flow, the right retention offer changes their mind. Across nearly 2 million saved subscriptions, Churnkey's data shows what works.
| Offer Type | Metric | Value |
|---|---|---|
| Discounts | Share of all accepted offers | 53% |
| Subscription pauses | Acceptance rate when offered | 19% |
| Plan changes / downgrades | Acceptance rate when offered | 7% |
Note the distinction: discounts are measured as a share of what subscribers chose (the most popular option among those who accepted any offer), while pauses and plan changes are measured by how often subscribers accepted them when presented. Both are useful but they answer different questions.
Pauses are worth a closer look. When companies offer a "pause before cancel" option, Recurly's data shows pause usage rises 337%. Three out of four subscribers who pause eventually return. And 39.7% of merchant sites on Recurly's platform have enabled pause functionality, preventing over 400,000 cancellations on the platform alone.
Contract Length and Pricing
Every dataset tells the same story on annual vs monthly.
| Factor | Impact on Churn |
|---|---|
| Annual vs monthly plans | Annual reduces churn ~50% |
| Annual vs monthly profitability | Annual subscribers ~2x more profitable |
| Annual vs monthly churn rates | 8.5% annual churn vs 16% month-to-month |
| Usage-based vs flat-rate pricing | Usage-based cuts churn ~45% (2.1% vs 3.9%) |
| Price increases | ~15% immediate churn spike on average |
Annual plans eliminate monthly decision points, give customers more time to see value, and create a larger psychological commitment. If you can move customers to annual billing, you will retain more of them. ChartMogul's data shows NRR runs 10 to 20 percentage points higher for annual plans compared to monthly.
Win-Back Timing
ChartMogul analyzed 4.78 million returning customers across 3,974 companies. Win-back is heavily front-loaded: if a churned customer is coming back, they're probably coming back soon.
| Timeframe | Share of All Win-Backs |
|---|---|
| Within 30 days | 45% |
| Within 90 days | 66% |
| After 90 days | Drops off sharply |
And most returning customers don't come back on a cheaper plan. Only 25% return at a lower price point. 42% come back on the same plan, 33% on a higher one. The first 30 days after churn are the highest-leverage window for re-engagement. Wait too long and you lose both the likelihood of return and the revenue value of each return.
Recurly's 2026 data backs this up: 1 in 4 new sign-ups are now returning subscribers, making reactivation the most cost-effective subscriber acquisition channel for mature businesses.
Other Retention Levers
Beyond cancel flow offers and contract length, several other tactics correlate with lower churn across published research. Note that many of these figures come from industry surveys and vendor reports rather than controlled studies, so treat them as directional rather than precise.
| Tactic | Reported Impact |
|---|---|
| Bundling (multiple products/services) | ~30–34% lower churn |
| Community features | ~20–25% lower churn |
| Loyalty / rewards programs | ~15–20% higher retention |
| Behavior-based messaging | ~15–20% lower churn |
| Auto-ship discounts (ecommerce) | ~25–30% higher retention |
| Weekly product usage vs less frequent | Significantly higher retention |
| Strong onboarding (time-to-value under 7 days) | 50% lower churn rates |
That last row is worth acting on. 44% of cancellations happen within the first 90 days, and companies that get users to value within the first week see half the churn of those that don't. The pattern holds across SaaS, ecommerce, and subscription boxes.
How to Benchmark Your Own Churn Rate
Step 1: Calculate. Use our churn rate calculator to find your current monthly and annual rates. If you don't already, track customer churn and revenue churn separately. They can tell very different stories about your business.
Step 2: Separate voluntary from involuntary. If you're not distinguishing between customers who chose to cancel and customers whose payments failed, you're treating two different problems as one. Learn more about involuntary churn →
Step 3: Compare against your peers. Use the tables above and match by your industry, company size, and ARPU band. A 4% monthly churn rate is excellent for an early-stage B2C subscription app but concerning for a mid-market B2B SaaS product.
Step 4: Act. If your churn is above benchmark, start with the highest-impact levers: improve onboarding to get users to value faster, implement payment recovery for involuntary churn, and add pauses and targeted retention offers to your cancellation flow. Read our guide to reducing subscriber churn →
Step 5: Measure the impact. See how much retained revenue is worth to your business with our ROI calculator →
FAQs: Churn Rate Benchmarks
Methodology & Sources
The benchmarks on this page come from multiple published datasets. Different sources sometimes report different figures for the same metric, which is normal. Sample composition, measurement windows, and definitions vary. Where that happens, we show the range or note the source so you can decide which benchmark fits your situation best.
A note on sourcing: several of the primary datasets cited here (Recurly, Churnkey, Paddle, Swell) come from companies that sell retention and subscription management tools. Their data is drawn from their own customer bases, which means it's both large-scale and potentially skewed toward businesses already investing in retention. The benchmarks are directional and well-supported by sample size, but keep in mind that the sources have an interest in the retention space.
Primary sources
- Recurly — Churn Rate Benchmarks and 2026 State of Subscriptions (2,200 merchants, 76 million subscribers).
- Churnkey — State of Retention 2025 (1,000+ companies, 15 million subscriptions, 3 million cancellation sessions, 6 million failed payments).
- ChartMogul — SaaS Retention Report and Winbacks Report (3,500+ software companies, 4.78 million returned customers).
- Paddle / ProfitWell — SaaS churn data by ARPU and quarterly market reports.
- Optifai — B2B SaaS Churn Benchmarks (939 companies, Q1–Q3 2025).
- Focus Digital — Churn Rate by SaaS Vertical (100+ companies, $2.1 billion ARR).
- Bain & Company — retention-profit relationship research.
- Swell — Subscription Box Statistics (2026).
- KeyBanc Capital Markets — 2024 Private SaaS Survey (104 companies).
- Metronome — Usage-based pricing adoption data (2025).
All figures are medians or averages as noted by each source. Your results will vary based on product category, customer segment, go-to-market motion, and geography.
If you spot anything on this page that's outdated or wrong, let us know.
This page is updated periodically as new industry data becomes available. Last updated: April 2026.
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