Repeat Purchase Rate Calculator

Behind the number

Repeat purchase rate is the share of customers who have bought more than once: customers with 2+ orders ÷ total customers × 100.

It is measured over a defined window, and the window matters enormously. A 90-day window on a product bought twice a year will report almost nobody as repeating.

The related figure is the repeat order rate, the share of orders that come from returning customers, which is usually much higher because repeaters buy more often.

The same thing with real figures

Of 12,000 customers, 4,080 have ordered more than once: a 34% repeat purchase rate.

Those 4,080 account for 2.4 orders each on average against 1.0 for the rest, so they generate 9,792 of the 17,712 total orders, 55% of orders from 34% of customers.

At $31.90 of contribution, repeat customers produce $312,400 a year and one-time customers $253,000, with no acquisition cost against the first group.

Moving the repeat rate from 34% to 40% would add 720 repeat customers generating roughly $53,000 of additional contribution, for no acquisition spend at all.

The catch

A low repeat rate can reflect the product rather than a failure. Durable goods with long replacement cycles will always show low repeat rates and can be excellent businesses.

The rate also improves automatically as a business ages, because older cohorts have had more time to repeat. Comparing this year against last without cohort adjustment measures the business's age rather than its performance.

Applying it

Measure it by cohort at a fixed age: 90 days, 180 days, one year, so cohorts are compared at the same point in their life. That removes the ageing effect and makes the trend readable.

Then focus effort on the second purchase specifically. The gap between the first and second order is the largest drop in any retention curve, and closing it moves every downstream metric.

Why the second purchase is the one that matters

The probability of a third purchase given a second is far higher than the probability of a second given a first. Customers who buy twice have demonstrated the product works for them and have crossed the barrier of ordering from a business they had not previously used.

That makes the post-purchase period the highest-return window in the whole customer relationship, and it is usually the least worked. A well-timed replenishment reminder, a complementary product suggestion or a straightforward reorder path all act on it.

Businesses that measure only overall repeat rate tend to treat retention as a general problem. Measuring first-to-second conversion separately turns it into a specific one with a specific fix, which is considerably more actionable.

Time to second purchase is worth measuring alongside the rate, since a cohort that repeats within thirty days behaves differently from one that takes six months, and the two need different interventions.

The distribution also matters: a median is more informative than a mean here, because a small number of very frequent buyers pull the average away from typical behaviour.

Product mix affects it structurally, so a business adding a subscription or consumable line will see the rate rise for reasons unconnected to any loyalty work.