Answer the Review, Fill the Room
What the research says about management responses, ratings, and revenue for independent hotels and small groups
A hotel review is read by two audiences: the guest who wrote it, and every prospective guest who reads it during the weeks it sits near the top of your TripAdvisor, Google, or Booking.com page. A reply is the only part of that exchange the hotel controls. Silence leaves the complaint as the last word.
What responding does to your ratings
The cleanest evidence comes from Davide Proserpio and Georgios Zervas, who studied thousands of hotels on TripAdvisor and used the same hotels' Expedia pages, where managers weren't responding, as a control. Hotels that began responding on TripAdvisor received 12% more reviews and saw their average rating rise by 0.12 stars.
They also received fewer, but longer, negative reviews. The authors' explanation: once guests can see that management reads and answers reviews, dissatisfied guests become less likely to leave short, unsupported complaints and more likely to explain themselves. A tenth of a star sounds small until you remember that the platforms round ratings and rank properties by them. It is often the difference between 4.0 and 4.5 stars on the page.
The finding holds up in the field. A seven-property mid-scale group that had never responded began doing so in late 2016, answering more than half of its lower-rated reviews and about a quarter of its positive ones. Over three years, its monthly review volume rose 65%. When the group stopped responding for two months in 2018, volume dropped in the months that followed and recovered when replies resumed.
What responding does to revenue
Cornell's School of Hotel Administration, working with Revinate on data from 80 hotels across five management companies, matched review-response behavior to performance data from STR. Management responses were associated with higher revenue as prospective guests clicked through to the hotel's listing on the online travel agencies.
The relationship wasn't unlimited. The benefit accumulated as response coverage rose to roughly 40% of reviews and then flattened, and the researchers cautioned that answering everything, mechanically, could do more harm than answering nothing. The practical reading is to answer with intent, prioritizing the reviews future guests will actually read.
TripAdvisor's own data, cited in HSMAI's digital marketing guidance, found that hotels providing management responses were 21% more likely to receive a booking inquiry through the site.
Positive or negative first?
The natural instinct is to answer complaints and let compliments stand. A 2024 study at the University of Hong Kong tested that instinct on a large dataset of hotel reviews and management responses from TripAdvisor and Expedia. Responding more to positive reviews was associated with an increase in subsequent ratings and revenue. Responding more to negative reviews produced a short-term dip in both, followed by long-term improvement.
For a general manager with limited hours, that means two things. The happy guest deserves a reply too, and may be the better investment. And the effect of answering complaints should be judged over quarters, not weeks.
Where hotels actually are
Industry benchmarks put the average independent hotel's response rate at roughly a third of reviews. That's below the level at which Cornell's data shows the revenue benefit accumulating, and well below the standard guests describe: in TripAdvisor's research, nearly nine in ten travelers said a thoughtful management response to a negative review improved their impression of the property.
The reason is rarely indifference. A 40-room independent has a general manager who is also the front desk manager, the maintenance supervisor, and the person answering reviews at 11 p.m. A small group has several versions of that person, each answering in a different voice on TripAdvisor, Google, Booking.com, and Expedia, with nobody comparing response rates across properties.
The new reader
Travel is the category where AI assistants arrived first. Phocuswright found that more than a third of travelers who use AI rely on it for restaurant recommendations during trips, and Adobe reported that traffic to U.S. travel sites from AI sources rose roughly thirty-five-fold in a year. When a traveler asks an assistant which hotel in town has quiet rooms and a good breakfast, the assistant answers from the same reviews, ratings, and management replies a human would read, and it favors whatever is recent and specific. An unanswered complaint about noise is a candidate sentence in that summary. A reply that mentions the renovation finished in March is the other half of the story, and the only way the hotel gets to tell it.
Conclusion
Three separate academic teams, at Boston University and USC, at Cornell, and at the University of Hong Kong, working on different datasets over a decade, along with TripAdvisor's own research, an industry benchmark, and a hotel group's field experience, all arrive at the same conclusions: replying raises ratings and review volume, revenue follows response coverage, and positive reviews are worth answering. That kind of agreement across independent sources is what gives us confidence in the finding, and it should give a reader the same.
For an independent hotel or small group, the gap is a standard the portfolio is almost certainly not meeting. Response coverage sits at about a third, below where the revenue benefit shows up, and nobody tracks the number by property. Several general managers produce several tones in exactly the place prospective guests form their impression. Complaints get answered eventually; compliments, which move the numbers fastest, are ignored. And nothing connects response coverage to rating, review volume, or RevPAR by property, so the work never gets the priority the evidence says it deserves.
By the numbers
| Figure | What it says | Source |
|---|---|---|
| +12% / +0.12 stars | Review volume / average rating after hotels began responding on TripAdvisor | Proserpio & Zervas, Marketing Science |
| +65% | Monthly review volume over three years of replying, 7-property group | Revinate |
| ~40% | Response coverage at which the revenue benefit levels off | Cornell (Anderson & Han), 80 hotels |
| 21% | More likely to receive a booking inquiry, hotels with management responses | TripAdvisor data via HSMAI |
| ~33% | Average independent hotel response rate | ReviewPro 2025 benchmark, via trade press |
| 87–89% | Travelers who say a thoughtful response to a negative review improves their impression | TripAdvisor research, via trade press |
| 36% | AI-using leisure travelers who use AI for restaurant recommendations | Phocuswright, Mar 2026, n=1,570 |
| ~35x | Year-over-year growth in AI-referred traffic to U.S. travel sites | Adobe, 2025 |
Sources
- Proserpio, Davide, and Georgios Zervas. "Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews." Marketing Science 36(5), 2017; summarized in Harvard Business Review, Feb 2018.
- Revinate, What Happened When a Reluctant Mid-Scale Hotel Group Started Responding to Reviews? (2022).
- Anderson, Chris K., and Saram Han. Hotel Performance Impact of Socially Engaging with Consumers. Cornell Hospitality Report (2016); Cornell SC Johnson, "How hotels can benefit from bad reviews" (2017).
- HSMAI Americas, Hospitality Digital Marketing Essentials, citing TripAdvisor data.
- Wu, Jiajun, Jun Ye, and Junhong Chu. "Soothing the unsatisfied or pleasing the satisfied?" University of Hong Kong (Oct 2024).
- ReviewPro, Global Hotel Reputation Benchmark 2025, via BookingWhizz (Feb 2026); TripAdvisor traveler research, via Zuzu Hospitality (Feb 2026).
- Phocuswright, The AI Surge (Mar 2026); Adobe Analytics on AI referral traffic (2025); via OpenLens and Joli (2026).