What is churn rate?
Churn rate is the share of your subscribers or active customers who stop buying during a given period, which is the mirror image of retention.
Formula
Churn rate = customers lost in the period ÷ customers at the start of the period × 100
Worked example, not a result
What a monthly churn figure implies over a year
Say a subscription store begins a month with 800 active subscribers and 88 of them cancel before it ends. Monthly churn is 88 divided by 800, which is 11 percent.
That rate carries an implication most stores do not work out. At 11 percent a month, the average subscriber stays a little over nine months, and roughly a fifth of the base has to be replaced every quarter just to stand still. Every new subscriber the ad account wins is doing repair work before it does any growth.
It also tells you where to look. Churn is rarely spread evenly across the life of a subscription. Most of it clusters at one or two moments: after the first delivery arrives, and around the point where the customer has more product than they can use. Those two moments are where the fix belongs, not in a general loyalty programme.
The figures above are made up for the example.
Why it matters
Churn is the drain under the repeat purchase lever. A store can be excellent at acquisition and still stand still, because the customers arriving each month are only replacing the ones leaving, and the ad budget is quietly funding a leak rather than growth.
It also puts a hard limit on what you can pay for a customer. Lifetime value is built on how many orders a customer places, so every point of churn shortens that life, lowers what the customer is worth, and narrows the bids you can afford in the visitors lever.
For a store owner, the question churn answers is where the next month of effort should go. If churn is high, more acquisition spend is the expensive answer and better onboarding, delivery timing, flexible skip and pause options and honest replenishment intervals are the cheap ones. Fixing the leak also raises the value of every customer you already have, which no campaign can do.
Common mistakes
- Only counting formal cancellations. Customers who quietly stop reordering never press a cancel button, and a store that measures only cancellations will believe retention is far better than it is.
- Reporting churn on a period that does not match the delivery cycle. A subscription that ships every other month cannot be judged on a monthly figure without adjusting for the schedule.
- Treating all churn as one problem. Someone who leaves after the first box is telling you about expectations and delivery, and someone who leaves after many is usually telling you they have too much product.
- Making cancellation hard to find. Hidden cancel flows do not keep customers, they produce card disputes, angry reviews and a customer who will never return.
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