How Long Does a Regular Stay a Regular? 7 in 10 Have Already Stopped Coming

Every restaurant has them. The couple who sits at the same two-top. The guy who orders “the usual” before he takes off his coat. Regulars feel permanent. The data says they aren’t.

Most retention advice is about the second visit, and for good reason. But almost nothing is written about the other end of the story: what happens after a guest becomes a regular, how long they stay, and how they leave. We looked at 43,848 regulars across the Bloom network to find out.

What counts as a restaurant regular?

In this analysis, a regular is a guest with 10 or more recorded visits to a restaurant. They are rare and valuable: guests with 10+ visits are just 2.7% of the guestbook on the Bloom network, yet they make 39.5% of all visits.

That is the same definition used in our guide to restaurant guest segmentation. Getting a guest this far is hard. Our retention guide shows only 18.84% of new guests make a second visit at all. So every regular you lose took years of good meals and good service to build.

How long do restaurant regulars last?

Among regulars who stopped coming, the typical one lasted about 17.5 months from first visit to last. The middle half lasted between 8 and 32 months. Overall, 69.1% of regulars on the network have not visited in the last 6 months.

A year and a half sounds like a long time. It isn’t, when you consider what it took to earn that guest. And the 17.5 months covers only regulars who already left. The ones still coming tend to be newer, so their story isn’t finished yet.

What share of regulars are still coming years later?

Fewer than half of regulars first seen in 2024 are still visiting, and only 5.8% of regulars first seen in 2019 are. Every year, more of a restaurant’s regulars quietly drift away.

The pattern is steady, not sudden. There is no cliff at year one or year three. Regulars leave a few at a time, every month. That is good news, because a slow leak is one you can plug if you can see it.

How do regulars leave a restaurant?

Quietly. Regulars who stopped coming made a median of 16 visits, about one every 4 weeks, and then simply didn’t come back. Most never send a complaint or say goodbye. The first sign is a visit that doesn’t happen.

A regular who comes every 4 weeks and hasn’t shown up in 6 weeks is already sending you a message. By 8 weeks, they have missed two visits. Most restaurants won’t notice until months later, if ever, because nothing in a sales report flags a person who didn’t walk in.

Why do restaurant regulars stop coming?

Regulars usually stop for ordinary reasons: a move, a new job, a change in the menu or the staff, one bad visit, or a new place opening nearby. Some of those you can’t control. Many you can, if you hear about them in time.

Life changes are the hardest to fight. But plenty of departures start inside the restaurant. A favorite dish disappears. The server who knew their order leaves. The wait gets longer. One cold plate that nobody fixed. These rarely show up as a complaint from the regular. They show up as a gap.

Your other guests often say it out loud first. Our restaurant sentiment analysis found that a jump in 1 and 2 star reviews came about two months before revenue dipped. Read the reviews and you’ll often learn why regulars are quieter, before the sales report does.

How do restaurants keep regulars longer?

Restaurants keep regulars longer by knowing who they are, tracking each one’s visit rhythm, marking their milestones, and reaching out the moment a visit is missed. Five habits do most of the work.

None of this needs a big budget. It needs attention, every day, for every regular. That is exactly the part busy teams can’t keep up with by hand. For the reply side, see Should Restaurants Respond to Every Review? For the outreach side, see our guide to win-back campaigns.

What is it worth to keep a regular longer?

For a regular who visits about every 4 weeks, every extra 6 months you keep them adds roughly 6 to 7 visits. Multiply that by your average check, then by the number of regulars you have.

Regulars also bring friends, leave reviews and defend you online. Those don’t fit neatly in a spreadsheet, but every operator knows they’re real. Keeping a regular a little longer is almost always cheaper than finding a new one.

How does Bloom spot a regular who is fading?

Bloom Intelligence learns each guest’s visit rhythm from WiFi, POS, reservations and online orders, flags regulars who fall behind it, and sends a win-back message automatically. In Bloom case studies, up to 38% of at-risk guests who were contacted came back.

The key is that each regular is measured against their own normal, not a fixed calendar. A weekly regular who skips two weeks is a warning. A monthly regular who skips two weeks is just having a normal month. Nobody on a busy team can track that for hundreds of guests by hand, so Bloom does it every day and acts in the window that matters: weeks after the last visit, not months.

Workflows can also fire when a guest reaches a set number of visits, such as their 10th, using triggers added in the Bloom Summer Release 2026. Reviews get answered in your brand voice, and every return is matched to a real visit or check. Read how it all fits together in Agentic AI for Restaurants.

What is a win-back worth in revenue?

Across the Bloom network, 6.5% of guests who got a win-back email came back, earning $1,106 in return visits per 1,000 emails. In Bloom’s best case studies, up to 38% of at-risk guests came back. Here is what that range looks like for 100 regulars who start to slip.

To turn visits into dollars, multiply by your average check, which depends on the venue. At $50 a visit, that is about $2,000 at the network average and about $12,500 at the best case. A restaurant with a $100 check doubles both numbers.

That is 6 months from 100 regulars. Kept a full year, a regular who comes every 4 weeks makes about 13 visits, roughly twice as many. None of it counts the friends regulars bring or the reviews they write.

Two honest notes. The 6.5% covers every guest who got a win-back email, not only regulars, and comes from our win-back campaign research. And not every guest who comes back after a message would have been lost without it. That is why Bloom matches every return to a real visit or check, so you see what actually came back through the door, not just how many messages went out.

The bottom line on restaurant regulars

Regulars are just 2.7% of your guests but make 39.5% of your visits, and most of them will leave quietly within about a year and a half. You can’t stop every departure. You can see the first missed visit and answer it while the guest is still easy to win back.

You can start this week, with or without software. Pull a list of guests with 10 or more visits. Note how often each one usually comes. Then check who is already 1.5 times past their usual gap. Those are the guests to call, text or email first.

Every regular you keep is one you don’t have to rebuild from scratch, and rebuilding is slow: only 18.84% of new guests make even a second visit. The restaurants that hold on to their regulars longest aren’t the ones with the biggest marketing budgets. They’re the ones that notice first.

Methodology

Original Bloom Intelligence data, pulled November 12, 2026. We counted guests with 10 or more recorded visits at the 357 Bloom locations still sending data, excluding imported contact lists: 43,848 regulars in all. A visit is any touchpoint linked to the guest’s profile, such as a WiFi login, an order or a reservation. A regular counts as still visiting if they had a visit on or after May 12, 2026. Lifespan runs from the guest’s first recorded visit to their last, among the 30,294 regulars with no visit in the last 6 months. The typical rhythm divides that span by the number of gaps between visits. Guests who kept coming but stopped being recognized, for example after changing phones, would count as lapsed, so true lifespans are likely somewhat longer.

Win-back figures (6.5% of recipients returned, $1,106 in return revenue per 1,000 emails) come from Bloom network restaurants in the United States and Canada, for campaigns from January 1, 2025 to August 31, 2026, as published in our Restaurant Email Marketing Benchmarks 2026. The up to 38% figure is the best result from Bloom case studies. The revenue example is illustrative.

Data from the Bloom network and may not be the same for all restaurants. Research and analysis for this article were produced with Bloom Intelligence’s data platform and AI tools, then reviewed by William Wilson.

By William Wilson, Founder and CEO, Bloom Intelligence. Will builds AI agents that read a restaurant’s guest data, take approved action, write down why, and verify every result against completed reservations and POS transactions.