Repeat Purchase Rate: Formula, Benchmarks, and Fixes
Repeat purchase rate is the percentage of customers who buy more than once: customers with two or more orders ÷ total customers × 100. If 3,000 of your 12,000 customers ordered again, your rate is 25%. It is the single fastest health check on retention — here is how to calculate it properly, what good looks like, and how to move it.
Get the window right. The formula only means something over a defined period. The clean version is a cohort view: of customers whose first order landed in a given month, what share placed a second order within the following 12 months? Snapshot math over “all time” flatters old stores and punishes fast-growing ones, because every week of new-customer growth dilutes the denominator with people who have not had time to repeat yet. A store growing 20% month over month can have a genuinely improving retention program and a falling all-time repeat rate at the same moment.
Build the cohort view in twenty minutes. Export orders with customer ID and order date. Group customers by first-order month. For each cohort, flag whether a second order exists within 12 months of the first. The share flagged is that cohort’s repeat rate; laid side by side, the cohorts show your trend cleanly — and they show precisely when a program change (a new flow, a loyalty launch) started working, because it appears in the cohorts formed after the change.
What good looks like. Rates vary hard by category — consumables and supplements repeat far more than furniture. As working bands: under 20% means growth is fully rented from ad platforms; 25–35% is a functioning retention program for most DTC categories; consumable and subscription-adjacent brands should push past 40%. Treat published averages as context, not targets — your trend against your own baseline is the real scoreboard.
Why this metric outranks list size. Repeat rate is the engine inside lifetime value — it is the “purchases per year × years retained” part of the formula. Small movements compound: Bain’s research puts the profit lift of a 5% retention improvement at more than 25%, since repeat customers arrive with zero acquisition cost attached.
How to raise it. The second order has a window: buyers who return do so mostly within the first 60–90 days, which makes the post-purchase sequence your highest-leverage build — replenishment timing, cross-sell logic, and an email list built for repeat revenue rather than one-off promos. Automation is the lever with the receipts: Klaviyo’s 2026 benchmarks show flows driving nearly 41% of email revenue from 5.3% of sends. The broader playbook — segmentation, winbacks, loyalty — is in our customer retention strategies guide, and if you want the program run for you, start with the top retention marketing agencies.
Cut the rate by segment before acting on it. A single blended repeat rate hides the levers. Cut it three ways and the actions surface on their own. By acquisition channel: paid-social cohorts often repeat well below email-captured or referral cohorts, which changes what a tolerable CAC is per channel. By first product: some SKUs are proven gateways to second orders while others are dead ends, which should redirect both merchandising and your post-purchase cross-sell logic. And by first-order discount depth: customers acquired at 25–30% off repeat at visibly lower rates than full-price buyers in most catalogs we audit, which quietly reprices every “welcome offer” decision. Each cut takes one extra spreadsheet column, and each converts the metric from a scoreboard into an instruction.
Turn the rate into a dollar figure. Repeat rate stays abstract until it prices a customer. Feed your AOV and repeat behavior into the free customer lifetime value calculator and you will see what one extra repeat point is worth to your store per year — the number that justifies, or kills, every retention investment on your list. Most brands that run it discover the second order is worth more than their entire current flow budget.
