% Returning Customers

What share of this period's buyers had bought from you before.

60 second readAppears on: Summary, Shopify Overview, Region, Breakdowns

What it means

% Returning Customers is the share of the period's unique buyers who had already bought from your store — at any point in its history, not only inside the dates on screen. It counts people, not orders: someone who ordered five times this month counts once, the same as someone who ordered once.

It is the exact complement of % New Customers% New CustomersHow well you're bringing in new buyers.70% or more is healthy, so on any row the two add up to 100%. It is not shown on the Hour breakdown.

Show the math

Formula and a worked example

Returning Cust. = Share who bought more than once

Repeat buyers is every customer who ordered in the period and already had an order in your store's history, however long ago.

The denominator is every unique customer who ordered in the period, repeat or first-time. Order four times in the month and you are still one customer here.

Worked example. In April 900 people buy from you and 315 of them had bought before. % Returning Customers = 315 ÷ 900 = 35%. The other 585 are first-timers, which is why % New Customers reads 65% on the same row.

Because it counts people, it normally sits below the order-level number. Those 315 repeat buyers place 630 orders between them while the 585 first-timers place 585, so the month holds 1,215 orders and Returning OrdersReturning OrdersHow much of your volume loyalty drives.35% or more is healthy reads 630 ÷ 1,215 = 52%. Same month, same customers, two correct answers.

Guest checkout is the quiet distortion. Someone who buys once as a guest and again under a second email address arrives as two separate first-time customers, so a store with heavy guest checkout reads lower here than it truly is.

It answers the question

Are the people who bought from you once coming back? The higher this reads, the more of next month you already own rather than having to buy again.

Why it matters

Every customer list leaks. People move, change taste, or find someone cheaper, and a store that only ever meets strangers has to replace all of them out of the ad budget every single month. This is the number that tells you whether anything is being kept.

It is also the cheapest revenue you have. Nobody clicked an ad for a returning customer's order, so no acquisition cost comes off it — which is why two stores with identical sales can finish the month with completely different profit.

The trap is treating a high number as unambiguous good news. A store can climb here purely because new buyers stopped arriving, and the card will look better every month while the business quietly shrinks.

What good looks like

30%12%

Needs workHealthy

30%+Lots of customers are coming back to buy.

BetweenSome buyers return. Try email follow-ups and a simple loyalty perk.

Under 12%Almost everyone buys once and leaves. Win them back by releasing relevant new products.

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. Store age counts too — a shop six months old has not had time to build a repeat base. Read it beside % New Customers% New CustomersHow well you're bringing in new buyers.70% or more is healthy, and do not expect to sit at the top of both.

How to improve it

Lever	What you do	Expect	How long	Watch out for
Fast Ask for the second order	Email everyone with exactly one purchase, around 30 days after it arrived	More one-time buyers become two-time buyers	3–6 weeks	If the email carries a code you are discounting the people most likely to return anyway, and that markdown lands in % Product Discounts.
Fast Go back to the lapsed	Segment buyers whose only order was 90 to 180 days ago and give them a reason to return	A step up this month rather than a new baseline	2–4 weeks	Repeat it monthly and you train the base to wait for the offer. The lift also stops the moment you stop sending.
Slow Make the first order worth repeating	Tighten delivery times, packaging and sizing accuracy on the products new buyers start with	The share builds over two or three quarters	1 quarter and beyond	It costs real money on every order. Better packaging and faster shipping push % Shipping Cost up long before a single repeat customer arrives to pay for it.
Slow Give the range a second thing to buy	Add a refill, consumable or companion product a first-time buyer would naturally come back for	A structural lift that holds without sending	2 quarters	New stock and cash tied up in it. Second purchases are usually smaller than first ones, so AOV falls as this number rises.

Every lever costs something somewhere. The last column is the one to read twice.

Read it with

A share of buyers moves when either half moves. The customer count is what tells you which one did.

% Returning Customers and Orders, on the Summary cards

Orders up

Orders down

Returning share up

Keeping what you win

More orders and more of the buyers behind them have been here before. Both engines running at once, and the only corner where the share rising is unambiguously good news.

→ Protect whatever produced it, then push acquisition again.

Growth stopped, not loyalty started

The share rose because first-time buyers stopped arriving. Nothing about retention improved; the denominator shrank. The card looks better every month the store gets smaller.

→ Check % New Customers first — the problem is at the door, not the base.

Returning share down

A wave of strangers

A big acquisition push always dilutes the repeat share. Normal while it runs, expensive if it becomes the permanent shape of the business.

→ Fine for a quarter. Set up the follow-up now, while this cohort is still warm.

Both ends leaking

Fewer orders and a thinner base underneath them. The people who already trust you are the fastest part of this to fix.

→ Start with the buyers you already have — they are the cheapest orders left.

% Returning Customers + Returning OrdersReturning OrdersHow much of your volume loyalty drives.35% or more is healthy

People against orders. A modest customer share alongside a much larger order share means a small group of regulars is doing a lot of the buying — profitable, and concentrated enough to be worth watching. The two moving apart is usually the more interesting signal than either one moving alone.

% Returning Customers + AOVAOVYour average order size, and a direct lever on revenue.

Retention is only worth what the repeat orders are worth. A rising repeat share with a falling AOV often means the returning buyers are coming back for a cheap top-up, which keeps the card healthy while the money stays flat.

Common misreads

“Returning means they bought twice inside my date range.”

It means they had bought before, ever. Someone whose first order was three years ago counts as returning today, even with the range set to last week. Narrowing the dates changes which buyers you are looking at, not who counts as new.

“It's 35%, so 35% of my orders are repeat orders.”

Different denominators. This counts people; the order-level figure counts orders, and repeat buyers place more of them each. 35% of customers producing 52% of orders is the normal shape, not a contradiction.

“The share went up, so retention improved.”

Only if the customer count held. If first-time buyers fell 30% and repeat buyers stayed flat, this number rises while the store shrinks. Read the buyer count before you read the percentage.

“Our number is low, so our customers don't like us.”

Check how people check out before you conclude that. Every guest order placed under a fresh email address counts as a brand new customer, so heavy guest checkout pushes this number down without anyone actually leaving.

Also called

Repeat customer rate · returning buyer share · customer repeat rate

See yoursYour repeat and first-time buyer split for the period, with the trend beside it.

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