Returning Orders
How much of your order volume comes from people who have bought before.
What it means
Returning Orders is the share of orders in the period placed by someone who had bought from you before. It counts orders, not people — its people-level twin is Returning Customer, on the same card row. Repeat status is judged on a customer's whole history with your store, not on the date range you're looking at.
Show the math
Formula and a worked example
Orders from repeat customers is every order in the period placed by someone whose history with your store already contained an order — at any point, however long ago.
The denominator is every order in the period, first or repeat.
Worked example. In March you take 800 orders worth €64,000. 240 of them come from people who had bought before, so Returning Orders = 240 ÷ 800 = 30%. At an €80 average order that's €19,200 with no acquisition cost sitting behind it.
Guest checkout is the quiet distortion. Someone who orders once as a guest and again under a different email looks like 2 first-time customers, so shops with a lot of guest checkout read lower here than they really are.
It answers the question
How much of this month's volume did you pay to acquire, and how much arrived on its own? The higher this reads, the less of next month you have to go out and buy again.
Why it matters
A returning order has no acquisition cost attached to it. Nobody clicked an ad for it, so no ad cost comes off it before Contribution MarginContribution MarginProfit left after variable costs to fund the business.30% or more is healthy — which is why 2 shops with the same Total Sales can end the month with very different profit.
A busy street brings you strangers every day and charges rent for it; regulars walk in for free. A shop at 10% has to buy nearly every order again next month, while one at 40% starts each month with 4 orders in 10 already spoken for.
What good looks like
The bands assume a product people can buy again. If you sell something bought once a decade, a low share is your category rather than a failure. Age counts too: a shop 6 months old can't have built a repeat base yet. Read this against % New Customers% New CustomersHow well you're bringing in new buyers.70% or more is healthy, and don't expect to sit at the top of both.
How to improve it
| Lever | What you do | Expect | How long | Watch out for |
|---|---|---|---|---|
| Fast Turn on a post-purchase flow | Follow up everyone who has ordered once, at 14 days and again at 45 | Returning Orders up 2–5 points | 3–6 weeks | If the follow-up carries a code, you discount the customers most likely to come back unprompted — those repeat orders now arrive on a thinner margin. |
| Fast Win back the 90-day lapsers | Segment everyone who bought once, 90 to 180 days ago, and give them a reason to return | A step up this month, not a new baseline | 2–4 weeks | Discount-led win-backs teach people to wait for the offer, and the discount lands in % Product Discounts. Repeat it monthly and you train the base to stop paying full price. |
| Slow Fix the first delivery | Tighten packaging, delivery times and what the first order feels like to open | Returning Orders up over 2 or 3 quarters | 1 quarter and beyond | It costs real money per order. Better packaging and faster shipping both push % Shipping Cost up months before a single repeat order arrives to pay for it. |
| Slow Add a consumable or refill | Give people a product that runs out and a reason to reorder it | A structural lift that holds | 2 quarters | New stock and new complexity. Refills usually sell for less than the first purchase, so AOV falls even as orders rise. |
Every lever costs something somewhere. The last column is the one to read twice.
Read it with
The share alone can't tell you whether the base grew or the top of the funnel shrank. Put it next to the money and it can.
Compounding
The base is buying more and the shop is still growing on top of it. This is the only corner where both engines are running.
Living off the base
The repeat share rose because first orders fell, not because loyalty improved. The percentage looks like good news while the shop gets smaller.
Growth by new faces
A big acquisition push always dilutes the repeat share. Normal while it runs, expensive if it becomes the permanent shape of the business.
Both engines stalled
Fewer orders and a thinner base underneath them. The people who already trust you are the fastest part of this to fix.
Together they say which engine is running. Returning Orders climbing while New Customer falls means the shop stopped growing and existing customers are carrying it — neither number separates that alone. Because one counts orders and the other counts people, they won't add up to 100%.
This pair says whether the repeat business is earned or sent. Repeat orders rising while % Flows Revenue stays flat means the product brings people back by itself, the most durable thing a shop can own. Rising together means your automations are doing the work, and the share falls the day you pause them.
Common misreads
It counts orders, not customers. Repeat buyers order more often than first-timers, so their share of orders runs above their share of your customer list. Returning Customer, on the same card row, counts people.
No. Someone whose first order was 2 years ago counts as a returning order today, even with the range set to last week. Narrowing the dates doesn't make anyone new again.
A share moves when either half moves. If first orders dropped 20% and repeat orders held flat, this number rises and the shop shrank. Read the order count before you read the percentage.
Also called
Repeat order rate · returning customer order share · repeat purchase rate
See yoursYour repeat and first-order split for the period, next to New Customer and Total Sales.
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