What is a good guest return rate for a restaurant?

Ask a restaurant owner how many guests come back and you usually get a feeling, not a number. “Quite a lot, we have our regulars.” The regulars are easy to see. The guests who came once and never returned are invisible, and they are the majority.

This article explains how to calculate a guest return rate, what the published research says is normal, and what moves it.

What a guest return rate is

Your guest return rate is the share of first-time guests who come back at least once within a fixed window. The window matters. A neighbourhood bistro might look at 90 days, a destination restaurant at 12 months.

The formula is simple:

Return rate = first-time guests in a period who came back within the window ÷ all first-time guests in that period × 100

Example: in March you had 1,000 first-time guests. By the end of June, 180 of them had visited again. Your 90-day return rate for March is 18%.

What the research says is normal

There is very little public data from Dutch restaurants. The best numbers come from American restaurant software companies that see millions of transactions. They are useful as a rough benchmark, with two caveats: they are US data, and each company defines “return” slightly differently.

DataDelivers, a US restaurant data company, analysed card purchases of more than 50 million guests and found that only about 1 in 5 first-time guests returned within a year. In one example, a regional burger brand had 300,000 first-time guests, of whom 44,000 came back within a year (14.6%), and only 7% became regulars.

Toast and Resy’s Regulars Report 2026 points the same way. It reports that just 7% of a restaurant’s guest base is multi-visit, and that this small group can generate up to half of all order volume. Bloom Intelligence, another US platform, reported in its 2025 retention study that about 25% of first-time visitors return within 90 days, and that restaurants lost about 79% of their existing repeat guests within a year.

The exact numbers differ because the methods differ. The pattern does not: most first-time guests do not come back, and a small group of regulars carries the business.

Why the number is usually lower than owners think

Regulars are visible. You know their names, their table and their wine. A guest who had a good evening and simply never thought of you again leaves no trace. Nobody complains, nobody leaves a bad review. They just do not return.

The Toast and Resy report also found that guests who found a restaurant through a search engine were one-and-done 83% of the time. A good meal is not enough on its own to bring someone back. Something has to remind them.

How to measure it in your own restaurant

You probably already have part of the data. Three practical ways:

• Reservations. If guests book with a name, phone number or email, your reservation system can show how many first-time bookers booked again. This misses walk-ins.
• Card payments. Some POS and payment providers can recognise the same card across visits without storing card numbers. Ask yours what reports they offer.
• A second-visit offer. Give first-time guests something they can only use on a next visit, with a code that works once. Every redemption is a measured return. This is how Seeya measures returns: each offer on the receipt is single-use and tied to the visit that earned it.

Whatever method you pick, keep it the same over time. A stable, slightly imperfect number tells you more than a perfect one you measure once.

What moves the number

The research above comes from companies that sell retention tools, so read the uplift figures with that in mind. The consistent finding is still useful: guests who get a reason to come back, at the right moment, return more often. In the Toast and Resy data, moving a guest into a loyalty program lifted the return rate from a 7% baseline to nearly 30%. DataDelivers reported first-time guest return rates of nearly 35% for brands that followed up with each new guest personally.

Three things matter most:

• Timing. The best moment to invite someone back is while they still remember the evening, ideally before they leave.
• A personal touch. In the same report, 48% of guests said that being remembered makes them feel most valued, while only 30% said they always get that recognition.
• A simple, real offer. Over half of diners in the survey had left a loyalty program because the rewards were too hard to earn or not worth it. One clear offer for the next visit beats a points system nobody understands.

Where to start

Pick a window (90 days is a good default), pick one way to recognise a returning guest, and write down this month’s number. You cannot improve a number you have never seen. If you want to see how a thank-you on the receipt turns into a measured return, here is how Seeya works.