Repeat customers: the metric buyers pay the most for
Revenue that comes back without new ad spend is the clearest sign that earnings will continue. How to measure repeat purchase rate and raise it before a sale.
If you could improve only one number before selling your store, there's a good case for making it your repeat purchase rate. Revenue from customers who come back on their own is the clearest evidence a buyer can get that your earnings will continue after you leave.
Why buyers pay more for returning customers
A buyer is paying today for several years of future earnings. Their biggest worry is that those earnings depend on things they can't control: rising ad costs, a platform change, a trend fading.
Returning customers reduce all of those risks at once:
- They are cheaper to sell to. A customer who reorders from an email costs a fraction of what it costs to acquire a new one through paid ads.
- They make revenue more predictable. A store with a steady base of repeat buyers has a floor under its sales, even in a bad month for ads.
- They prove product quality. People don't reorder products they're unhappy with. A high repeat rate is a signal that refund rates and reviews are likely to stay healthy.
That is why stores built on consumables, subscriptions and replenishable products are often priced more generously than stores that sell one-off purchases.
How to measure it
There are a few related metrics. Pick definitions and use them consistently, because a buyer will recalculate them from your order data.
Repeat customer rate. The share of customers in a period who placed more than one order. For example, over the last twelve months, what percentage of customers ordered at least twice?
Returning customer revenue share. The share of revenue that came from customers who had ordered before. This is often the more persuasive number for a buyer, because it shows how much of the business would continue with less marketing.
Cohort retention. Group customers by the month of their first order, then track what share of each group orders again in months 2, 3, 6 and 12. Cohorts show whether retention is improving or getting worse over time, which a single average can hide.
Shopify's built-in analytics include returning customer reports, and many retention and email tools offer cohort views. Our detailed report calculates repeat purchase metrics directly from your Shopify orders.
Context matters. A "good" repeat rate depends on what you sell. A coffee or supplement store should expect customers to reorder every month or two. A furniture store may see few repeat purchases at all. Buyers compare you against similar stores, not against every store.
Practical ways to raise it
Make the second order easy
Most customers who never return simply forgot about you. A post-purchase email sequence that arrives when the product is likely to run out, with a direct link to reorder, is one of the most reliable improvements you can make. Time it from real data: look at the typical gap between first and second orders.
Offer a subscription where it fits
For consumables, a subscribe-and-save option turns repeat purchases into recurring revenue. Buyers value subscription revenue highly when churn is reasonable and the subscriptions are not propped up by deep discounts. Track active subscribers and monthly churn from the start, because a buyer will ask.
Build a range, not a product
Customers can only buy again if there is something to buy. Complementary products, refills, accessories and bundles give satisfied customers a reason to come back. This also reduces product concentration, which is a separate valuation factor.
Use email and SMS as owned channels
An engaged email list is an asset the buyer inherits. Keep it clean, segment it by purchase history, and send regularly enough that customers remember you. List size matters less than engagement and revenue attributed to the list.
Fix the first experience
Retention starts with the first order: accurate product pages, fast shipping, decent packaging and a straightforward returns process. A customer who had a frustrating first order won't come back however good the email is.
Consider a loyalty programme carefully
Points and rewards can help, but they also cost margin. Measure whether members actually reorder more than non-members before treating a loyalty programme as a win.
Don't buy your retention numbers
It is possible to inflate repeat rates with constant discounts. Buyers notice. If your returning customers only buy during 30%-off sales, the buyer will see falling margins alongside rising retention and discount the result. Aim for retention that holds up at full price.
How long it takes to show
Retention improvements take time to appear in the data. Customers acquired this month only become "repeat" customers months from now. If you plan to sell in the next year or two, start now, so that by the time you list there are at least two or three quarters of improving cohort data to show.
Illustrative example. A skincare store earning $120,000 SDE raises the share of revenue from returning customers from 18% to 32% over a year by adding a replenishment email flow and a refill product. Ad spend as a share of revenue falls at the same time. Together, those changes could reasonably move its multiple up by several tenths, which at this size is worth tens of thousands of dollars.
Next step
See where your store stands with the free estimate, then read why one store sells for 2x and another for 4x for how retention fits alongside the other factors. The repeat customers chapter of Raise Your Multiple walks through building a cohort table and the core post-purchase flows.