Restaurant Benchmarks 2026: Ratings, Review Replies and Retention From 1,000+ Locations

Most restaurant benchmark reports cover the cost side: food, labor, prime cost. This one covers the guest side, the numbers that decide whether a guest picks you, comes back, and tells anyone. Every figure below was recomputed in September 2026 from live activity across 1,000+ restaurant locations on the Bloom Intelligence network, for the trailing 12 months unless a section says otherwise.

The headline for multi-location operators: the average review flatters the average location. Locations with the most reviews tend to rate higher, which pulls the review-weighted average up to 4.57. The typical location sits at 4.46. If you judge your portfolio by the blended number, you will miss the half of your locations that guests see as below the line. Two more headline numbers: top-quartile locations reply to at least 66.1% of Google reviews, and guests with 4 or more visits are 8.26% of guests but drive 52.91% of all visits.

The 2026 restaurant benchmarks at a glance

In the 12 months to September 2026, the benchmark restaurant location on the Bloom network rates 4.46 on Google, sees 78.12% of guests visit only once, earns 7.0 visits from each guest who returns, and sees 42.3% of one-time returners come back within 30 days.

Restaurant rating benchmarks by platform and by location

Across the network in the trailing 12 months, the average review is 4.57 on Google, 4.63 on OpenTable, 4.83 on Tock, 4.31 on TripAdvisor and 4.24 on Yelp. At the location level, the median location rates 4.46 on Google and the top 10% rate 4.81 or higher.

Two patterns matter for operators. First, judge each location against its platform. Yelp runs a third of a star below Google for the same restaurants, and Yelp reviews are almost twice as likely to be negative (13.8% against 7.4%). Reservation platforms run higher, likely because every reviewer booked and dined.

Second, look at locations, not reviews. When we score each location with 30 or more Google reviews in the year, the picture shifts.

A 4.5 puts a location in the top half of the network. The middle half of locations sits between 4.29 and 4.61, and 56.8% of locations are below 4.5. That matters because 4.5 is the number guests and AI assistants read as the floor. We explain why in why AI engines recommend some restaurants and ignore others.

Review reply benchmarks: coverage and speed

Across the network, 33.1% of Google reviews carry an owner reply, and top-quartile locations reply to 66.1% or more. When a reply is posted, 90.3% land within 24 hours. The gap is coverage, not speed, and 3-star reviews are the ones most often left unanswered.

The 3-star review is the most persuadable guest you have, and the least answered. A 3-star reviewer came back with mixed feelings and told you so in public. Those reviews get the lowest reply share of any star level (23.2%) and the slowest reply, a median of 3.7 hours against about an hour for every other level. A reply that names what went well and fixes what did not is the cheapest second chance in the business.

Speed is set by automation. The median Google reply on the network posts in 50 minutes, which is the pace of an auto-response rule, not a manager working through a queue. Bloom’s reply automation answers new Google, Facebook, OpenTable, Yelp and Tock reviews by rules each location sets, on a fixed or randomized delay, from templates that can be rephrased by AI in the brand’s voice.

For a named example, Beachside Hospitality Group saves 15 to 20 hours a week on review management with Bloom.

The Ratings screen puts the two numbers on this page that most operators never see side by side: Reply Rate and Average Reply Time, next to the average rating on every connected platform. The Automation and Reply Templates tabs are where the rules and templates live.

Guest retention and second-visit benchmarks

Across the network, 78.12% of guests have visited only once. Guests who return average 7.0 visits, and guests with 4 or more visits are 8.26% of guests but drive 52.91% of all visits. Among guests who came back exactly once, 42.3% returned within 30 days and 69.0% within 90.

This is the table the whole P&L hangs on. Roughly 4 in 5 guests are seen once, while the 2.43% who visit 11 or more times generate 38.43% of visits. The operators who beat these numbers do not win on acquisition. They win the second visit, then protect the regulars. Our deep dive on why 8 in 10 first-time guests never come back covers the causes.

New this quarter: the second visit has a clock. Among guests whose first visit came between September 2025 and June 2026 and who returned exactly once, 42.3% came back within 30 days, 57.6% within 60 days and 69.0% within 90 days. A welcome or win-back message that waits two months has already missed most of the window.

The benchmark to beat with automation: Bloom’s win-back workflows recover an average of 38% of at-risk guests. The full playbook is in our 2026 restaurant customer retention guide.

Restaurant email benchmarks

In our 2026 restaurant email marketing benchmarks, restaurants sent 99.7% of their email as blasts. Blasts brought back 0.27% of recipients, while welcome and win-back emails brought back 6.5% to 7.2%, measured by verified return visits.

The benchmark that matters is the return visit, not the open. An open rate says a subject line worked. A return rate says the email made money. If your platform cannot tie an email to a visit and a check, you are benchmarking the wrong number.

WiFi session benchmarks

In the 90 days to September 2026, the median guest WiFi session on the network lasted 17.7 minutes and the mean was 29.2 minutes. 44.2% of sessions ran under 15 minutes and 12.2% ran an hour or more.

Benchmark the median, not the mean. A handful of long sessions pull the mean far above what a typical guest does. Sessions are measured from guest WiFi connections, capped at four hours. WiFi marketing is how the network identifies walk-in guests who never book or order online.

Cost-side benchmarks

This report covers the guest side. For food cost, labor and prime cost benchmarks by concept type, see our 2026 restaurant profit margin benchmarks. Guest-side and cost-side numbers answer different questions, and a location needs both.

How to benchmark your locations this week

Pull each location’s Google rating, reply rate on 3-star reviews, and share of first-time guests who return within 30 days. Compare each to the figures on this page, then fix the location with the largest gap first.

1. Rank locations, not the brand. List every location’s Google rating. Anything under 4.46 is below the network median. Anything under 4.29 is in the bottom quarter.
2. Count unanswered 3-star reviews. For the last 90 days, what share of 3-star reviews got a reply? The network answers 23.2%. Top-quartile locations answer 66.1% or more of all Google reviews.
3. Time the second visit. Of guests who came back once, how many returned within 30 days? The network figure is 42.3%. If your welcome message goes out later than 30 days after a first visit, move it earlier.
4. Check who carries the visits. What share of visits comes from guests with 4 or more visits? On the network it is 52.91%. Those guests are the list to protect first.
5. Re-measure monthly. Guest-side numbers move fast. A monthly check catches a slipping location while it is still cheap to fix. Review sentiment tells you why a number moved.

The average review flatters the average location. Benchmark every location on its own, and start with the ones under 4.5.

Methodology

Rating and reply figures cover reviews created September 27, 2025 to September 26, 2026 on Google, OpenTable, Yelp, TripAdvisor and Tock, with ratings of 1 to 5 stars. An owner reply is any reply recorded in a connected platform integration, excluding replies by the reviewer. Location-level figures use locations with 30 or more Google reviews in the window. Visit figures use lifetime visit history for every guest profile with at least one tracked visit across WiFi, POS, ordering and reservation channels. Second-visit timing uses guests whose first visit fell between September 27, 2025 and June 26, 2026 and who have exactly two visits, so every guest had at least three months to return. WiFi session figures cover sessions of up to four hours from June 28 to September 26, 2026. At-risk recovery (38%) and revenue recovered ($53,000+ average per location) are Bloom’s published platform averages.

Figures marked “across our restaurant network” are computed from Bloom Intelligence platform data as of September 2026. They reflect the Bloom network and may not be the same for every restaurant. Research and analysis for this article were produced with Bloom Intelligence’s data platform and AI tools, then reviewed and edited by William Wilson.