Restaurant customer retention is closely tied to visit frequency, booking behavior, guest recognition, and targeted communication. Recent Toast, Resy, National Restaurant Association, SevenRooms, and Square measurements show that a relatively small group of regulars can account for a large share of restaurant activity, while diners often value personal recognition as much as formal points.
Contents
- The revenue and frequency value of restaurant regulars
- Loyalty-program adoption and traffic impact
- What diners want from retention programs
- Why restaurant customers return or leave
- Owned-channel and message performance
- Bookings, discovery, and repeat-visit marketing
The revenue and frequency value of restaurant regulars
The strongest retention signal is repeated behavior. Toast platform data for Q1 2026 found that as much as 50% of restaurant order volume came from just 7% of guests who visited more than once. This is a Toast platform measurement, not a universal share for every restaurant. (Toast, “7% of Guests Can Drive Up to 50% of Restaurant Order Volume: The Regulars Report 2026”)
Toast’s report also used Resy cohorts measured from January 1, 2023, through December 31, 2025. It defined Resy regulars as diners with at least three visits to the same venue during that period; non-regulars had two or fewer visits. Regulars visited their regular restaurants 52% more often and averaged 8.30 completed reservations over three years, compared with 5.45 for non-regulars.
Regulars were more concentrated in their restaurant choices: they used an average of 1.45 regular restaurants over three years, compared with 2.4 restaurants for non-regulars. They also bought 46% more restaurant event tickets per diner, averaging 1.85 tickets versus 1.27 for non-regulars. These figures describe the Resy cohort and should not be read as a forecast for all diners.
Toast’s April 2, 2026 consumer survey indicates why repeat customers can be commercially valuable. Among surveyed regular diners, 34% said they spend more per check because they feel comfortable ordering at a familiar restaurant. Regular diners were 80% more likely to try a new menu item because they trusted the kitchen, and 77% of respondents said they tip more at restaurants where they are regulars.
Square’s analysis of UK local-business customers, based on 2025 activity and published March 18, 2026, found that regular customers can generate up to five times the annual revenue of other local-business customers. Square defined a regular customer as someone returning to the same business at least four times in a year; these regulars typically returned 11 times annually. This is a UK buyer-seller analysis, so its definition and geography differ from Toast and Resy’s U.S.-oriented measurements. (Square, “When good neighbours become good customers”)
Loyalty-program adoption and traffic impact
Loyalty programs are widespread, but adoption varies substantially by restaurant segment. In the National Restaurant Association’s 2025 industry report, based on a 2024 operator survey, 52% of all restaurants reported having a customer loyalty or rewards program. Among restaurants with a program, 70% said it helped boost customer traffic in 2024. (National Restaurant Association, “STATE OF THE RESTAURANT INDUSTRY 2025”)
The segment-level figures show different starting points and reported traffic effects:
| Restaurant segment | With a loyalty program | Operators reporting higher 2024 traffic |
|---|---|---|
| Fullservice | 38% | 64% |
| Family dining | 43% | 69% |
| Casual dining | 41% | 76% |
| Fine dining | 20% | 80% |
| Limited service | 66% | 76% |
| Quickservice | 71% | 75% |
| Fast casual | 56% | 76% |
| Coffee and snack | 80% | 78% |
The table reports operator survey responses, not measured incremental visits caused by a program. Fine dining had the lowest reported adoption at 20%, but 80% of fine-dining operators with a program said it boosted 2024 traffic. Coffee-and-snack operators had the highest adoption at 80%, with 78% reporting a traffic lift. Quickservice adoption was 71%, and 75% of those operators reported higher traffic. Casual dining, limited service, and fast casual each reported a 76% traffic figure, while family dining reported 69% and fullservice 64%.
What diners want from retention programs
Value is a central reason people join restaurant loyalty programs. The National Restaurant Association’s 2024 consumer survey found that 96% of restaurant loyalty-program participants said membership was a good way to get more value for their dining money. Among consumers not enrolled in a restaurant loyalty program, 81% said they would participate if their favorite restaurant offered one. (National Restaurant Association, “Restaurant Technology Landscape Report 2024”)
Many diners already divide their attention among several programs. Current restaurant loyalty members belonged to an average of 3.6 programs in the survey, while Gen Z members belonged to an average of 4.4 programs. That level of program overlap means a restaurant’s offer has to be understandable and useful within an already crowded set of memberships.
Access preferences differ between current members and prospective members. Among current restaurant loyalty members, 60% preferred using a smartphone app, 18% preferred presenting a physical card, and 22% had no preference. Among prospective members, 39% preferred a physical card and 33% preferred a smartphone app. Baby Boomers were especially likely to prefer a physical card: 51% selected it when given the choice.
These results support offering more than one access route when practical. They also show that current behavior and prospective-member preferences are not identical. The 60% app preference among current members should not be substituted for the 33% app preference among prospective members.
Why restaurant customers return or leave
Retention programs cannot compensate for a deteriorating dining experience. In Toast’s April 2, 2026 consumer survey, food quality was the baseline requirement for 52% of diners. Feeling recognized by restaurant staff was a main reason for returning for 32% of diners.
The same survey identified gradual deterioration as a major departure pattern. Among diners who stopped visiting a favorite restaurant, 43% attributed the departure to gradual declines in quality, prices, or service. More specifically, 31% cited a decline in food quality, 22% cited price increases, and 15% cited a drop in service quality. These percentages describe the survey responses and are not additive estimates of a single mutually exclusive cause.
Recognition also mattered more than a points balance for many guests. Remembering a guest’s name or usual order was the top value signal for 48% of Toast-surveyed diners, while only 22% prioritized a points-based reward as the thing that made them feel most valued. Yet only 30% said they always feel recognized at the restaurants they visit most.
Program design can create another retention risk. Toast reported that more than 50% of diners had left a loyalty program because its rewards were too difficult to earn or not worthwhile. The result suggests that a nominal loyalty benefit is not enough: diners need to understand the path to a worthwhile reward and experience consistent service quality while they are earning it.
Owned-channel and message performance
Owned channels are particularly relevant to retention because their orders were strongly associated with guests who had already visited. Toast marketing-ecosystem data for Q1 2026 found that 86% of orders originating from email marketing came from guests who had already dined at the restaurant. For SMS marketing, 83% of originating orders came from previous guests.
The comparison with search highlights a different acquisition pattern. In Toast Q1 2026 platform data, 83% of search-engine users were one-and-done visitors. Gift-card orders also presented an identification challenge: 57% of gift-card orders on the Toast platform were anonymous and therefore were not tied to an identified guest account. These figures do not establish that email or SMS caused repeat visits, but they show different observed customer mixes by channel.
SevenRooms measured performance differences in targeted restaurant email sends from February through May 2024. Targeted emails achieved 23% higher open rates than non-targeted sends, 28% higher click-to-open rates, and two times more revenue per email. (SevenRooms, “2024 U.S. Restaurant Trends and Diner Expectations Report”)
SevenRooms’ 2024 report also reported an average 98% open rate for restaurant text-marketing campaigns and $1.64 in average reservation revenue generated per restaurant text message. In a separate example cited in the report, Fabio Viviani Hospitality generated $220,000 in revenue and 3,000 new guests from text marketing in four months in 2024. The example is a named operator result, not a universal restaurant benchmark.
Bookings, discovery, and repeat-visit marketing
Booking behavior further separates regulars from occasional diners. In the Resy cohort measured from January 1, 2023, through December 31, 2025, 83% of completed visits among regulars were booked in advance rather than taken as walk-ins. Among non-regulars, 52% of completed visits were walk-ins.
Regulars were also more likely to use restaurant-controlled booking paths. About 20% of Resy regular reservations were booked internally through the restaurant, compared with 7% for non-regulars. Across the Resy platform, 62% of regular-diner reservation visits used digital channels such as the app, website, or Google.
SevenRooms reported a 21% year-over-year increase in U.S. restaurant reservations from Q1 2023 to Q1 2024. At the same time, 67% of diners reportedly booked reservations on the same day or otherwise on the fly. That combination points to two useful retention needs: make advance booking easy for regulars, and remain discoverable and available when diners decide late.
Local availability can influence discovery. SevenRooms data showed that searches for “restaurants open on Monday near me” increased 31% year over year. The quoted search phrase and increase come from SevenRooms’ 2024 report, not from a general search-market estimate.
Social media remained a major budget destination in SevenRooms’ operator survey: 79% of restaurant operators said they spent most of their marketing budget on social media. Driving bookings or online orders was the main social-media goal for 39% of operators, and organic social posts drove the most restaurant bookings for 39% of operators.
Together, the booking and channel figures describe a retention system with several connected parts: maintain food and service quality, make returning guests feel recognized, offer a clear loyalty value, capture permission for useful email or SMS communication, and keep booking paths visible for both planned and last-minute visits. The measurements come from different populations, definitions, geographies, and windows, so they are best used as directional benchmarks alongside a restaurant’s own repeat-visit and channel data.