Churn Rate

Metricuno
May 17, 2026
4 min read
Churn Rate — Churn rate explained for subscription stores: the formula, monthly vs annual benchmarks by vertical, and how a 1% drop compounds into ~12% more LTV.
Quick answer

Churn rate is the share of customers or subscribers you lose in a period — the single most important retention metric for subscription stores, and the lever where a 1% monthly improvement compounds into roughly 12% more LTV per year.

Definition
Retention metrics

Churn Rate

The percentage of customers or subscribers lost over a defined period, usually a month.

Churn rate measures how many of the customers you started a period with were gone by the end of it. For subscription stores — coffee refills, supplement clubs, beauty boxes — monthly churn is the heartbeat metric: it dictates how long the average subscriber stays, how much they're worth, and how aggressively you can spend on acquisition.

The number looks small (5%, 7%, 9%) but it's deceptive. A 1% improvement in monthly churn compounds to roughly a 12% lift in customer lifetime value, because subscribers stay longer and pay you more times before cancelling. That's why retention teams obsess over it where growth teams obsess over CAC.

Also known as
Customer churn
Attrition rate
Cancellation rate

Churn comes in two flavours that get conflated. Customer churn counts logos lost — how many subscribers cancelled. Revenue churn counts euros lost — useful when subscribers pay different amounts or downgrade tiers. For a single-SKU coffee subscription the two move together; for a multi-tier supplement brand they don't.

Most stores also separate voluntary churn (the subscriber clicked cancel) from involuntary churn (their card expired, the payment failed, the bank declined). Involuntary churn is often 20-40% of total churn and is the easiest to fix — a decent dunning sequence and card-updater service recovers most of it without touching the product.

Formula

Churn Rate = (Customers Lost in Period / Customers at Start of Period) × 100

Variables

Customers Lost

Customers Lost in Period

Subscribers who cancelled or whose subscription lapsed during the period. Exclude new sign-ups.

Customers at Start

Customers at Start of Period

Active subscriber count on day one of the period.

Worked example

A Shopify coffee subscription starts March with 2,400 active subscribers. By the end of the month, 168 have cancelled or lapsed.

Customers at start of March: 2400

Customers lost in March: 168

7.0% monthly churn

7% monthly churn implies an average subscriber lifetime of roughly 14 months (1 / 0.07). If average monthly order value is €28 and gross margin is 55%, that's about €216 of contribution margin per subscriber — the ceiling on what acquisition can spend to break even.

Two pitfalls to avoid in the calculation. First, don't include new sign-ups from the same period in the denominator — they barely had time to churn, which artificially deflates the rate. Second, pick a period and stick with it: switching between weekly, monthly, and quarterly windows makes trends impossible to read.

Benchmark

Typical monthly churn benchmarks for subscription e-commerce by vertical

VerticalHealthyAverageConcerning
Coffee & beverage subscriptions4-6%7-9%>10%
Supplements & vitamins5-7%8-11%>12%
Beauty & personal care boxes6-9%10-13%>14%
Pet food & treats3-5%6-8%>9%
Apparel & accessories boxes8-11%12-15%>16%
Meal kits10-13%14-18%>19%

Reading these numbers in isolation is misleading. A 9% monthly churn on a €15 AOV beauty box is very different from 9% on a €120 AOV meal kit — the absolute revenue at risk and the acquisition economics aren't comparable. Pair churn with average order value, gross margin, and CAC to know whether the business actually works.

Frequently asked

Churn rate FAQs

For most consumable subscriptions (coffee, supplements, pet food), 4-7% monthly is healthy and 8-10% is average. Discretionary categories like apparel boxes run higher — 10-13% is normal. Below 4% is exceptional and usually only seen in pet food or very loyal niche brands.

They're mirror images: retention rate + churn rate = 100% over the same period. If 7% of subscribers churned in March, retention was 93%. Teams use whichever framing makes the trend clearer — churn for problem-finding, retention for celebrating progress.

Monthly is the operational metric — you can react to it inside a quarter. Annual churn is useful for board reporting and LTV modelling. Don't try to convert one to the other with a simple multiplier; (1 − monthly_churn)^12 is the right transform, and 7% monthly compounds to roughly 58% annual, not 84%.

Because average customer lifetime is 1 / churn rate. Going from 8% to 7% monthly churn moves average lifetime from 12.5 months to 14.3 months — a 14% lift in how long subscribers stay, and therefore in lifetime value. That extra runway often turns a break-even acquisition channel profitable.

Voluntary churn is a deliberate cancellation — the subscriber chose to leave. Involuntary churn is a payment failure — expired cards, insufficient funds, fraud blocks. Involuntary is often 20-40% of total churn and is the cheapest to fix with dunning emails, retry logic, and a card-updater service.

Focus on the first 60 days, where churn is highest. Improve onboarding (clear delivery expectations, easy skip/pause options), fix involuntary churn with dunning, and survey cancellers to find the top three reasons. Product fixes and pause-instead-of-cancel flows usually move the needle more than discount-to-stay offers.

No — track them separately. Paused subscribers often reactivate; counting them as churned overstates the problem and hides whether your pause flow is working. Watch pause-to-reactivation rate and pause-to-cancel rate as their own metrics.

Churn is one of the core retention metrics in any ecommerce metrics framework, alongside repeat purchase rate, average order value, and customer lifetime value. Churn feeds directly into LTV, and LTV/CAC is the ratio that tells you whether your unit economics work.

Onboarding and payment-failure fixes show up within 30-60 days. Product or pricing changes take a full subscription cycle plus a buffer — usually 90-120 days — before the new cohort's churn pattern is readable. Resist judging a retention experiment in the first month.

For a flat-rate subscription, LTV ≈ (AOV × gross margin) / churn rate. A €30 AOV box at 55% margin with 8% churn gives roughly €206 LTV. Drop churn to 7% and LTV jumps to €236 — same product, same price, 14% more headroom for acquisition spend.

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