Subscription Churn by Category: What's Normal and When to Worry

Direct answer: A normal subscription churn rate for a DTC brand in 2026 runs roughly 3 to 8% monthly for replenishment categories like supplements, pet food, and household consumables, and roughly 8 to 15% monthly for curation categories like beauty boxes, meal kits, and apparel boxes. Sticky Digital recommends treating those ranges as orientation rather than a target, because the direction of your cohort survival matters more than where your number sits in a published band. The question worth answering is not whether your churn is normal. It is whether it is getting worse, and which half of it you actually control.

Below is what the published sources say, where they contradict each other and why, and a five-test diagnostic for deciding whether your own number is a problem.

What the Published Subscription Churn Benchmarks Say by Category

These ranges are synthesized from the subscription benchmark sources currently in circulation, including Recurly Research, Recharge's State of Subscription Commerce and 2026 trend report, and several industry aggregators. Where sources disagree, the range is widened rather than averaged.

Category	Typical monthly churn	Implied annual churn	Investigate above
Replenishment / subscribe-and-save	3 to 6%	31 to 52%	8%
Supplements and vitamins	5 to 8%	46 to 63%	10%
Pet food and treats	5 to 10%	46 to 72%	12%
Household consumables	5 to 8%	46 to 63%	10%
Coffee and beverage	5 to 10%	46 to 72%	12%
Beauty boxes	8 to 14%	63 to 83%	16%
Meal kits	8 to 18%	63 to 90%	20%
Apparel and general boxes	10 to 15%	72 to 86%	18%
Memberships and access	3 to 7%	31 to 58%	10%
Blended DTC subscription	5 to 8.5%	46 to 66%	10%

Three structural patterns hold across every source. Replenishment churns lower than curation, because convenience does not decay and novelty does. First-month churn runs dramatically higher than steady state, commonly 12 to 30% across every vertical, because the first renewal is the first time a subscriber evaluates a decision they made once. And Recharge and the Subscription Trade Association both place 44% of all subscription cancellations inside the first 90 days.

Recharge's 2026 trend report, built on 112 million subscription orders across 20,000 brands, places supplements near 8.8% monthly and describes the category as the one that signs subscribers up fastest and churns them hardest. Recurly Research puts consumer-facing subscription categories at 6.5% monthly against an all-industry average of 3.27%, and Recharge's State of Subscription Commerce data across more than 15,000 merchants shows 45% of subscribers still active at six months and 33% at twelve.

Why the Published Subscription Churn Numbers Disagree

We pulled twelve months of subscription ledger data across three accounts in our portfolio this month, covering roughly 309,500 active subscriptions on Recharge and Skio. The exercise made something obvious that reading benchmark pages had not: there are at least five defensible ways to calculate subscription churn, and they produce wildly different answers from identical data.

1. Payment retry is counted three different ways

This is the largest source of disagreement and almost nobody names it.

When a recurring charge fails, the subscription enters a retry window. Is it active, or is it churned? Some sources count it as active until the retry window closes. Some count it as churned at first failure. Some exclude it entirely.

In the largest account we examined, a pet replenishment brand, 59,103 of 263,714 active subscriptions were sitting in payment retry. Count those as active and the account reports 263,714 subscriptions. Count them as churned and it reports 204,611. That is a 22.4% difference in the denominator of every retention metric the brand publishes, driven entirely by a definitional choice nobody writes down.

Across all three accounts, 20.1% of active subscriptions were in payment retry, with individual accounts ranging from 1.1% to 22.4%. Published sources generally describe involuntary churn as 25 to 40% of total churn, which is a share-of-churn figure. The share-of-active-base figure is a different number and a more actionable one, and it is not in any benchmark table we found.

2. Monthly and annual rates get converted wrong

Churn compounds. Multiplying a monthly rate by twelve overstates annual churn badly, and the error grows as the rate rises.

• 3% monthly compounds to roughly 31% annual, not 36%
• 5% monthly compounds to roughly 46% annual, not 60%
• 8.8% monthly compounds to roughly 67% annual, not 106%, which is not a number
• 12% monthly compounds to roughly 78% annual, not 144%

Our own ledger reports annual subscriber churn directly: 19.5%, 48.3%, and 69.8% across the three accounts. Comparing those to a published monthly benchmark without converting is the single most common benchmarking error we see, and it usually runs in the direction that makes a brand feel better than it should.

3. Subscriptions and subscribers are different counts

A subscriber with a base product and two add-ons is one subscriber and three subscriptions. Churn measured on subscriptions moves when someone drops an add-on. Churn measured on subscribers only moves when the relationship ends.

In the pet account, the ledger showed 263,714 active subscriptions against 245,952 active subscribers. Those produce different churn rates from the same twelve months, and benchmark pages rarely specify which one they are quoting.

4. Gross and net churn get used interchangeably

Some subscribers come back. Across the three accounts we examined, reactivation ran from 2.0% to 13.4% of churned subscribers. Netting reactivations out of churn produces a materially better number than gross churn, and both are legitimate, and neither one is usually labeled.

5. Cohort and snapshot measurement answer different questions

Snapshot churn tells you what happened last month across everyone. Cohort churn tells you what happened to people who signed up in March. A brand growing quickly will show flattering snapshot churn because new subscribers dilute the base, right up until growth slows and the accumulated cohort decay surfaces all at once.

Why "Is My Churn Normal" Is the Wrong Question

The failure mode here is specific, and it is not laziness. It is that benchmarking against a category average is genuinely reassuring, and reassurance is the opposite of what the number is for.

A brand at 7% monthly churn in a category with a published 5 to 8% band concludes it is fine. But 7% implies an average subscriber lifetime of about 14 months, and if CAC payback takes eight months, the program is thinner than it looks. Meanwhile the brand next door at 9% is trending down three cohorts in a row and is in far better shape, despite sitting outside the band.

Level tells you where you are. Direction tells you where you are going. Composition tells you what you can do about it. Only one of those three is in a benchmark table.

We saw this directly. One account in our sample moved 16.7 points worse year over year, which looks alarming until you account for a platform migration and a heavily discounted acquisition push that brought in a cohort with no demonstrated intent. Cheap subscribers churn. That was an acquisition decision showing up as a retention number two quarters later, and no benchmark comparison would have surfaced it.

When to Worry: Five Tests That Beat a Benchmark

Run these in order. Any one failing is worth attention. Two or more failing together is a structural problem.

Test 1: Cohort direction

Is month-three survival declining across your last three signup cohorts? Direction beats level every time. A stable rate inside a bad band is a functioning program. A rising rate inside a good band is a program coming apart that has not surfaced yet. Worry if: month-three survival has declined in three consecutive cohorts.

Test 2: Composition

What share of your active base is sitting in payment retry right now? If it is above roughly 10%, you have a billing infrastructure problem, not a product or messaging problem, and it is the cheapest churn in your business to fix because the subscriber never decided to leave. Worry if: payment retry exceeds 10% of active subscriptions.

Test 3: Payback

Average subscriber lifetime in months is roughly one divided by your monthly churn rate. At 5% that is 20 months, at 10% it is 10 months, at 16% it is about 6 months. Compare that against your CAC payback period. Worry if: average subscriber lifetime is shorter than CAC payback, because every new subscriber is then losing money on arrival regardless of what the category benchmark says.

Test 4: Acquisition mix

Did your churn rate move more than about five points in a year? Retention programs do not usually move that fast in either direction. A swing that size almost always traces to a change in who you acquired, not a change in how you retained them. Worry if: churn moved sharply and you cannot name a retention change that explains it, because the real cause is probably upstream.

Test 5: Skip versus cancel

Track the ratio of skips, pauses, and delays against outright cancellations. A rising skip rate is good news that often gets misread as bad news. It means subscribers are using the alternative instead of leaving. Worry if: cancellations are rising while skips stay flat, which usually means the alternative is not reachable in your customer portal.

That last test connects to something we found that has no equivalent in any published benchmark. Across our three accounts, pause availability and payment retry rate ran in exact inverse order. The account with no self-serve pause had 22.4% of subscriptions in retry. The account with pause used by 5.9% of its base had 8.4%. The account with pause used by 9.4% of its base had 1.1%. Three accounts is not a study and the confounds are real, but the mechanism matches what exit surveys tell us: subscribers who cannot pause often stop maintaining the card instead. We cover that build in detail in our guide to failed payment recovery and involuntary subscription churn.

How Sticky Digital Diagnoses a Churn Number

Four steps before anyone proposes a fix.

Establish the definition first. Subscriptions or subscribers, gross or net, payment retry counted as active or churned, cohort or snapshot. Write it down. Every subsequent number depends on it and most brands have never specified it.

Split voluntary from involuntary. These have completely different fixes. Involuntary churn is solved with plumbing: dunning configuration, card updater coverage, a recovery flow owned in the ESP, and suppression from promotional sends during the retry window. Voluntary churn is solved with messaging, cadence, and save offers.

Read the cohort curve, not the monthly rate. Where does the curve bend? If it bends at month three, your onboarding is the problem. If it bends at month six, your replenishment cadence is probably outrunning actual consumption.

Check the acquisition mix before blaming retention. Promotional cohorts churn harder. If the churn move coincides with a discount push, the retention program is not what changed.

We apply this across beauty, wellness, food and beverage, apparel, and pet. The category-specific version for supplements, which carries the hardest math in DTC, is in our supplement and wellness subscription retention benchmarks, and the full framework for evaluating a partner sits in our guide to the best email and SMS agency for subscription brands.

FAQ

What is a normal subscription churn rate by category?

Replenishment categories including supplements, pet food, and household consumables typically run 3 to 8% monthly churn. Curation categories including beauty boxes, meal kits, and apparel boxes typically run 8 to 15%. Blended across DTC subscription ecommerce, published sources cluster between 5% and 8.5% monthly, though they disagree because they define a churned subscription differently.

Why do published subscription churn benchmarks disagree with each other?

Because they measure different things. The largest gap is how each source treats a subscription sitting in payment retry, which can be counted as active, as churned, or excluded entirely. In one account Sticky Digital monitors, 59,103 of 263,714 active subscriptions were in payment retry, so that single definitional choice swings the reported base by 22.4%. Sources also mix subscription-level and subscriber-level counts, gross and net churn, and cohort and snapshot measurement.

How do I convert monthly churn to an annual rate?

Churn compounds, so multiplying by twelve is wrong and the error grows as the rate rises. Subtract the monthly churn rate from one, raise it to the twelfth power, and subtract from one. A 5% monthly rate compounds to roughly 46% annual churn rather than 60%, and an 8.8% monthly rate compounds to roughly 67% rather than an impossible 106%.

When should I actually worry about my subscription churn rate?

Worry when month-three cohort survival has declined across three consecutive cohorts, when payment retry exceeds roughly 10% of your active base, or when average subscriber lifetime is shorter than your CAC payback period. Average subscriber lifetime is approximately one divided by monthly churn, so 10% monthly churn implies about ten months. Sitting inside a published category band is not reassurance if any of those three tests fail.

How much subscription churn is involuntary?

Published sources generally put involuntary churn at 25 to 40% of total churn. A more actionable measure is the share of the active base currently in payment retry, which across roughly 309,500 active subscriptions Sticky Digital monitors on Recharge and Skio runs at 20.1%, with individual accounts ranging from 1.1% to 22.4%. Involuntary churn is the cheapest to recover because the subscriber never made a decision to leave.

Does a high churn rate always mean the retention program is failing?

No. A churn rate that moves more than about five points in a year usually reflects a change in acquisition mix rather than retention performance, because heavily discounted or promotionally acquired cohorts churn harder regardless of lifecycle quality. Checking what changed upstream should precede any diagnosis of the retention program.

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Brands that want their churn number defined properly before anyone acts on it can request a subscription retention audit.

Article By: Mariel Kilroy, Co-Founder, Sticky Digital

Mariel Kilroy is the Co-Founder of Sticky Digital, a retention marketing agency specializing in email, SMS, loyalty, and subscription growth for DTC brands.