Repeat Customer Rate Calculator

The arithmetic

Repeat customer rate is the share of customers who have bought more than once. The related and more revenue-relevant figure is the repeat order rate: orders from returning customers ÷ total orders.

The two differ substantially, because returning customers buy more often than one-time buyers by definition.

Both need a defined window, and both improve automatically as a business ages unless cohorts are held constant.

Numbers on it

Of 12,000 customers, 4,080 have bought more than once, a 34% repeat customer rate.

Those 4,080 place 9,792 of the 17,712 annual orders, so the repeat order rate is 55%. A third of customers generate more than half the orders.

In contribution: $312,400 from repeat customers and $253,000 from one-time buyers, with no acquisition cost against the first figure.

Raising the repeat customer rate to 40% would add 720 repeat customers generating roughly $53,000 of additional contribution a year, for no acquisition spend.

What it does not tell you

The rate rises mechanically with business age, since older cohorts have had longer to repeat. Comparing this year against last without cohort adjustment measures how long you have been trading.

Product category also constrains it: a business selling durable goods will show a low rate and can be entirely healthy, while a consumables business with the same rate is failing.

What follows from it

Measure at a fixed cohort age, the share of each month's customers who bought again within 90 days, so cohorts are comparable and the trend is real.

Then focus on the first-to-second purchase specifically, since that is the largest single drop in the curve and the one where intervention changes the most.

Why the second order predicts everything after it

The probability of a third purchase given a second is far higher than the probability of a second given a first. A customer who has bought twice has resolved the uncertainty about whether the product and the business work for them.

That makes the post-first-purchase window the highest-leverage period in the entire customer relationship, and it is usually the least worked, most businesses put their effort into acquisition before it and loyalty programmes long after it.

The interventions are unglamorous: a well-timed reminder matched to the replenishment cycle, a complementary product suggestion, a straightforward reorder path. Each acts on the specific transition that determines whether a customer becomes an asset or stays a transaction.

Comparing the rate across first-purchase categories usually shows a wide spread, since some products naturally lead to a second order and others are terminal.

That informs acquisition targeting as much as retention work, because attracting customers into a category that leads somewhere is worth more than attracting them into one that does not.

Comparing the rate for customers who joined the email list against those who did not gives a defensible estimate of what the list is contributing to retention rather than acquisition.

Setting a target for the ninety-day repeat rate specifically, rather than for the overall figure, gives the retention effort a number that responds within a quarter.

Including a reorder prompt in the packaging reaches customers who never open marketing email, and for consumables it converts at rates worth the printing cost.