Subscription Churn Benchmarks for Shopify Brands: What Normal Looks Like

You run subscriptions on Shopify. Every month some subscribers leave, and you have no real idea whether your number is good, bad or normal. Most subscription churn benchmarks you will find are vendor marketing, and the few genuine datasets define churn differently, so comparing your rate to a headline figure tells you very little.

This article pulls together the figures that have a named source and a date, explains what they do and do not cover, and then gets to the part that matters more than any benchmark: where churn actually comes from and which fixes work fastest. The short version is that most Shopify subscription brands do not have an acquisition problem. They have a retention problem, and a surprising share of it is mechanical.

Define churn before you benchmark it

Monthly churn is subscribers who left during the month divided by active subscribers at the start of it. Simple enough, except three decisions change the number. Do paused subscribers count as active? Does a failed payment count as churn in the month it fails, or only once the retry cycle ends with no recovery? Are you measuring by subscriber count or by revenue? Pick an answer for each, write it down, and use it every month. Otherwise your trend line is noise.

Then split the number in two. Active churn (often called voluntary) is a customer deciding to cancel. Passive or involuntary churn is a payment that failed, through an expired card, insufficient funds or an issuer decline, and was never recovered. The customer did not decide anything. These two need different fixes, and the second is usually both larger than people expect and quicker to reduce. If your subscription app only shows you a blended rate, separating it is the first job.

Subscription churn benchmarks with a source attached

Here is what we could verify. Each figure comes with its date and origin, because a benchmark without either is just a number someone liked.

Subbly merchant data, September to November 2024. Median monthly churn across all merchants and models was 7.44%. For replenishment subscriptions (the same consumable product on repeat) the median was 6.31%, the best quartile sat at 3.1% and the worst quartile at 13.8%. Curated boxes churned higher than replenishment.Recharge, 2024 industry outlook (as reported by third parties). Roughly 7.1% monthly churn across its direct-to-consumer merchant panel, split 4.1% active and 3.0% involuntary. We could not open the original report, so treat the split as indicative.Recurly, public benchmark page, mid 2026 network data. Ecommerce churn of 4.25%, made up of 2.87% voluntary and 1.38% involuntary. Recurly's merchants skew larger and include annual plans, which is why the figure runs lower than the Shopify-centric sources.

Reading across those, a reasonable rule of thumb for a Shopify consumables brand billing monthly is this: 6-8% monthly churn is normal, under 4% is top quartile, and anything above 10% means something structural is wrong rather than a marketing problem.

Benchmarks by category: where the data is thin

You will see category tables quoting supplements at 5-8%, coffee at 5-10%, pet at 6-10% and beauty boxes at 8-14% monthly. We looked for the primary data behind those ranges and could not find it. The agency and app blogs that publish them largely cite each other. Use them as a sanity check if you must, but do not set targets off them.

Supplements is the one category with something more solid. Recharge's own data, published in 2025, shows that only 86.6% of first-time supplement subscribers come back for a second order, and the curve keeps falling steeply over the next few reorders. Recharge's 2026 report is also quoted putting health and wellness at 8.8% monthly churn, above the blended averages. If you sell supplements, our guide to Shopify for supplement brands covers the compliance side as well as retention. For coffee, beauty and pet we would rather say the data is thin than invent a range.

Benchmark by cohort month, not by a single number

A blended 7% can hide a 20% drop between the first and second order and a 3% rate from month six onwards. Those are two completely different businesses. Pull your subscribers into cohorts by start month and track how many survive to order two, three, six and twelve. Your own survival curve is the only benchmark that tells you where the leak is, and every fix below targets a specific point on it.

Involuntary churn is the fastest available win

In Recurly's ecommerce data roughly a third of all churn is involuntary. Other vendor aggregates put it at 20-40% of total churn, and higher for low-priced monthly products where card expiries pile up. That is a large pool of customers who still want the product. Recovering them is not persuasion, it is plumbing.

Three things do most of the work. First, use Shopify Payments where you can, because it updates expired or reissued card details on subscription contracts automatically. Second, set a sensible retry schedule: never retry the same day, space attempts across a week or more, and let the app's smart retry logic pick times when banks are more likely to approve. Third, send dunning messages that say plainly what happened and link straight to the card update page in customer accounts, with an SMS fallback if you have consent.

The gap between doing this well and not doing it is big. Chargebee's 2025 research found businesses with no dunning automation recover 20-31% of failed payments, while basic retries plus email recover 45-55%. Recharge reports that merchants moving from its standard dunning to its Failed Payment Recovery tooling saw recovery rates rise by up to 23%. If you are weighing which app handles this best, our comparison of Recharge, Skio and Bold covers the retry and dunning features side by side.

Cancellation flows: skip, swap, delay and pause before the exit

A single cancel button turns every wobble into a permanent loss. Chargebee's 2025 Global Consumer Insights survey of 1,454 consumers in the US and UK found that 58% had paused a subscription instead of cancelling in the past year, and 78% wanted a pause option to exist. People are telling you they want a middle ground.

Build four of them. Skip the next order. Swap to a different product or size. Delay the next delivery by a few weeks. Pause for one to three months. Show them on one screen, matched to the reason the customer gives, and keep the cancel option visible on the same screen. This is not about hiding the exit. UK subscription rules under the Digital Markets, Competition and Consumers Act are tightening what you can do there anyway, and a flow that fights the customer costs you the reorder later. It is about making the right alternative one click away.

Most cancellations are not a verdict on the product. They are a verdict on the frequency, the price that month, or a cupboard that is already full.

Cadence mismatch and the first box

The quietest cause of churn is simply sending people more than they use. They do not complain. They let two deliveries stack up, then cancel and tick 'too much product'. Look at your own exit survey: if that reason is anywhere near the top, your default frequency is wrong for a big slice of customers. Fix it at the source. Set defaults from real usage rather than what maximises first-quarter revenue, ask at order two whether they are running low or stocked up, and let people change frequency from the shipping confirmation email without logging in.

The first box is the other high-leverage moment. That 86.6% second-order figure from Recharge is a conversion rate, and it should be treated like one. What arrives, what is in it, how clearly it explains usage and when the next order ships, and how easy it is to skip from the packaging insert all decide whether order two happens. We treat this as part of conversion rate optimisation because that is exactly what it is, just happening after the first purchase rather than before it.

What to report monthly, and a realistic target

Keep the dashboard short. Three numbers, every month, with the definitions fixed:

Active churn and involuntary churn, reported separately, by subscriber count. One blended figure hides the fix.Failed payment recovery rate, meaning recovered payments divided by payments that initially failed. Below 40% means your dunning is not working.Second-order and sixth-order retention for the most recent complete cohorts. This is where you will see cadence and first-box changes land.

On targets, be realistic. Involuntary churn can usually be cut by a third to a half within a quarter, because the fixes are configuration and copy. Active churn moves more slowly: one to two percentage points over two or three quarters is a good result. The compounding is what makes it worth it. Taking blended monthly churn from 7% to 5% lifts twelve-month survival from about 42% of a cohort to about 54%. That is a quarter more customers still paying you a year on, from traffic you already paid for.

That is the pattern we see across most Shopify brands we work with from Glasgow, subscription or not. The traffic is there. The leak is somewhere after the click. Our Conversion Growth Retainer exists to find those leaks and fix them month by month with a senior team, and subscription retention is a regular part of that work. If you want a second opinion on your churn numbers and what is driving them, get in touch and we will tell you straight.