Guide
The number that moves first.
Repeat rate falls before revenue does. It is the closest thing the trade has to an early warning.
In short
Repeat customer rate is the share of customers in a period who have ordered from you before. It is a leading indicator: it moves before revenue, because new customers can mask departing regulars for months. Calculating it requires orders attached to customers, which is why it is visible on your own channel and not on marketplaces.
Updated 28 August 2026
Why it leads revenue
A restaurant losing regulars while still attracting first-timers shows flat sales. Underneath, the customer base is being replaced by people who cost more to acquire and spend less. Revenue looks stable right up until the new-customer flow slows, at which point the problem has been running for months.
How to calculate it
Take all customers who ordered in the period. Count how many had ordered before. Divide. Do it monthly and plot it. The absolute level matters less than the direction, because the level depends heavily on format.
What moves it
Almost entirely the experience rather than the marketing. Food consistency, timing accuracy, order correctness. When repeat rate falls, the cause is nearly always something operational that shows up in reviews at the same time.
- Food consistency across shifts
- Quoted times being accurate
- Orders arriving complete and correct
- How complaints are handled
Segment it by cohort
More useful than a single rate: take everybody who first ordered in a given month and track what share ordered again within sixty days. Comparing cohorts month by month shows whether something changed and roughly when, which a blended rate cannot.
The honest limitation
You can only measure it where you can identify customers. Marketplace orders generally do not carry identity, so a restaurant with most volume there is blind to its own retention. That is a strong practical argument for a direct channel beyond the commission saving.
Questions, answered straight.
Not covered here? Just ask us.
What is a good repeat rate?
It varies far too much by format for a benchmark to help. Measure your own, watch the trend, and investigate any sustained fall.
How long a window should I use?
Sixty days suits most takeaways. For a restaurant people visit monthly, use ninety. Match the window to your own normal order gap.
Repeat rate is falling but revenue is up. What now?
Look at it quickly. You are probably replacing regulars with first-timers, which is expensive and usually temporary. Check reviews from the same period.
Can I improve it with marketing?
Marketing can bring back somebody who drifted. It cannot make somebody return who had a bad experience. Fix the experience first.
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