% Returning Orders
How much of one segment's order volume came from customers you already had.
What it means
% Returning Orders is the share of one row's orders that were placed by a customer who had bought from your store before. It counts orders, not people — a single repeat buyer placing four orders contributes four. Repeat status is judged on that customer's whole history with you, not on the dates on screen.
It is the complement of % New Orders% New OrdersIndicates how much order volume is driven by newly acquired buyers. in the same row, so the two always add to 100%. It appears on the breakdown tables — payment method, discount code, shipping type, hour and city — so it describes a slice of the business rather than the business. The store-wide figure is the Returning OrdersReturning OrdersHow much of your volume loyalty drives.35% or more is healthy card, and that is the version carrying the app's grading bands.
Show the math
Formula and a worked example
% Returning Orders = the row's orders from repeat customers ÷ all of the row's orders × 100.
Orders from repeat customers is every order in that row placed by someone whose history already held an order with you.
The denominator is every order in that row alone — not the store total, which is what makes the column comparable across rows.
Worked example. On the Shipping Type table, the express row takes 400 orders in March and 140 of them come from customers who had bought before: 140 ÷ 400 = 35%. The standard row takes 600 orders with 120 repeat, so it reads 20%.
Same store, same month, fifteen points apart. Your regulars pay for speed and your new buyers do not — a fact no single store-wide number could have shown you.
Small rows swing hard. A discount code used 12 times sits on a denominator of 12, so one extra repeat order moves it eight points. Read the Orders column beside it before you trust a row.
It answers the question
Which parts of your business run on customers you already have, and which are being fed entirely by acquisition? The same store is usually both, in different rows.
Why it matters
It tells you what a promotion actually bought. A discount code redeemed almost entirely by returning customers gave money away to people who were coming back anyway; the same code with a high first-time share bought you customers, and is worth judging on completely different terms.
It also describes your regulars in practical detail. The payment methods, delivery options and hours that skew towards repeat orders are the ones your loyal customers have settled into, and they are the ones to protect when you change checkout, courier or opening promotions.
What good looks like
The column carries no published bands, and a single row should not be graded on its own. The store-wide Returning OrdersReturning OrdersHow much of your volume loyalty drives.35% or more is healthy card measures the same thing across everything you sell and does carry the app's thresholds — use that for the health check.
What this column is for is the spread. Sort the table and read the top row against the bottom: a wide gap means some parts of your business are self-sustaining while others are pure acquisition, and that is the finding worth acting on. A narrow gap means the repeat share is a property of the store rather than of any one segment.
How to improve it
| Lever | What you do | Expect | How long | Watch out for |
|---|---|---|---|---|
| Fast Retarget the codes that only new buyers use | Take the discount codes with a high first-time share and offer them only to people with no purchase history | Less margin given away to customers already coming back | 1–2 weeks | Returning customers notice an offer they can no longer have, and some of them wait rather than buy. The repeat rows can go quiet for a few weeks. |
| Fast Follow up after the first order | Email one-time buyers at around 14 and 45 days with the product they would naturally buy next | The repeat share rises across every row at once | 3–6 weeks | A code in the follow-up discounts customers who needed no discount, and the markdown shows up in % Product Discounts rather than here. |
| Slow Fix the segment that never repeats | Take the row with the lowest repeat share and find what is different about it — delivery time, payment friction, the products those buyers start with | One segment moves, not the whole store | 1–2 quarters | Slow, and the row may be low for a reason you cannot change. A payment method used by first-time buyers is often doing its job exactly as intended. |
Every lever costs something somewhere. The last column is the one to read twice.
Read it with
A row's repeat share is a ratio inside a slice. How big the slice is decides whether the ratio is worth anything.
The percentage means nothing without the count under it. A shipping option at 80% repeat across 15 orders is noise; the same 80% across 900 orders is the backbone of your business. Sort by orders first, then read the share, and ignore any row whose denominator is small enough to be moved by one customer.
They are two views of one split and always add to 100%, so neither adds information the other lacks — what they add is a habit. Reading them side by side across the table stops you treating a high repeat share as automatically better, when a row that acquires new customers efficiently is doing a different and equally necessary job.
Common misreads
It counts orders. Repeat buyers order more often than first-timers, so their share of a row's orders sits above their share of the people in it. The customer-level number is % Returning Customers, on the Shopify Overview tables.
Both are right. The card divides by every order in the store; this divides by one row's orders. A segment your regulars favour will always read above the store-wide figure, and one that new buyers arrive through will read below it.
No. Repeat status comes from the customer's whole history, so an order placed today by someone who first bought two years ago counts as returning even with the range set to this week.
Also called
Repeat order share · returning customer order rate · share of orders from repeat buyers
See yoursThe repeat share of your orders broken down by payment method, discount code, shipping type and hour.
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