A compiled reference of 22 verified statistics on what online reviews and ratings do to revenue. It covers what a one-star gain is worth in dollars, how many travelers read reviews before they book, when answering reviews pays and when it backfires, how ratings change buying, and where the ratings bar sits now. Every figure names its source (a Harvard Business School study of restaurant tax records, Cornell's Center for Hospitality Research, a 23,292-user TripAdvisor study with Ipsos MORI, Northwestern's Spiegel Research Center, and BrightLocal's consumer survey) and was independently checked against the original before publishing.
Key statistics
6 highlights from this report
Key statistics
Key takeaways
Reviews are not a vanity metric. They move price, occupancy, and revenue in measured ways, and the effects are biggest for independent operators. The operational takeaway is simple: the things guests complain about are the things that cost you money.
A one-star better Yelp rating lifts a restaurant's revenue 5 to 9%.
A hotel that gains one review point can charge 11.2% more without losing guests.
81% of travelers always or frequently read reviews before booking a stay.
77% of travelers are more likely to book when owners answer reviews.
A product with five reviews is 270% more likely to be bought than one with none.
Purchase likelihood peaks between 4.0 and 4.7 stars, not at a perfect 5.0.
How we built this report
Every figure was compiled in August 2026 from named public sources and verified against the original before publishing.
- Compiled from primary sources
University studies, platform research with named sample sizes, and a recurring consumer survey. We read the original papers, not the blog posts about them.
- Only explicitly stated figures
We include only numbers a named source states directly, and attribute each one inline where it appears.
- Disagreements shown, not averaged
Where sources give different numbers, we show both rather than blending them into a false single figure.
- Independent review
Written by one co-founder, reviewed by the other before publishing.
A note on reading these numbers. These studies come from different years and datasets: university studies published in 2011 and 2012, a traveler survey from 2019, and a consumer survey from 2026. The percentages describe those datasets, not a promise about any one property, and the Cornell figures are "up to" estimates. Confirm any figure against the named source before relying on it.
Review and rating impact, by the numbers
All 22 figures, grouped by theme. Each one names its source and was independently verified.
What a better rating is worth
Two university studies did the hard version of this question. According to Michael Luca at Harvard Business School (hbs.edu), who matched Yelp ratings to restaurant tax records from the Washington State Department of Revenue, the revenue effect of a star is causal, not a correlation. Chris Anderson at Cornell's Center for Hospitality Research (cornell.edu) measured the same thing for hotels using ReviewPro, STR, and Travelocity data.
Statistic 1
A one-star increase in Yelp rating leads to a 5 to 9 percent increase in revenue for restaurants. The study used state tax records, not self-reported sales.
Michael Luca, Harvard Business School working paper (2011, revised 2016)
Statistic 2
The rating effect is driven by independent restaurants. Ratings do not affect revenue at restaurants with chain affiliation.
Michael Luca, Harvard Business School working paper (2011, revised 2016)
Statistic 3
Chain restaurants lost market share as Yelp spread. Online reviews substitute for older forms of reputation, like a chain's brand name.
Michael Luca, Harvard Business School working paper (2011, revised 2016)
Statistic 4
A hotel that raises its review score by 1 point on a 5-point scale can raise its price 11.2% and keep the same occupancy or market share.
Cornell Center for Hospitality Research, lodging performance report (2012)
Statistic 5
A 1% gain in a hotel's online reputation score leads to up to a 0.89% higher daily rate, up to 0.54% higher occupancy, and up to 1.42% higher revenue per available room.
Cornell CHR, ReviewPro and STR matched data (2012)
Statistic 6
Reviews matter more downmarket. The revenue-per-room effect was 1.42% for midscale hotels versus 0.49% for luxury hotels.
Cornell CHR, lodging performance report (2012)
Statistic 7
One extra review point raises a hotel's odds of being chosen by 14.2%, and each additional review adds 0.2%. A 13.5% version of this figure circulates online; the paper's number is 14.2%.
Cornell CHR, Travelocity purchase data (2012)
What this means: A rating is a price lever. For an independent restaurant, one star is worth 5 to 9% of revenue. For a hotel, one review point is worth an 11.2% higher rate. The controllable part is what guests complain about, and cleanliness and condition lead that list; our guest complaint statistics report has those numbers.
Travelers read reviews before booking
The biggest traveler survey on this comes from TripAdvisor (tripadvisor.com), which polled 23,292 of its users across 12 markets with the research firm Ipsos MORI in 2019. It surveyed TripAdvisor's own users, so read it as the platform's best case.
Statistic 8
81% of travelers always or frequently read reviews before booking a place to stay. Across stays, restaurants, and things to do, the figure is 72%.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
Statistic 9
Travelers read an average of nine reviews before a booking decision, and 78% focus on the most recent reviews.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
Statistic 10
79% of travelers are more likely to book a hotel with a higher rating. 52% say they would never book a hotel with no reviews.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
Statistic 11
86% of users say reviews make them feel more confident in their booking decision. The average review rating worldwide is 4.22 out of 5.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
What this means: Reviews are the sales page. Nine reviews get read per booking, and the recent ones count most, so one bad month of housekeeping sits in front of every prospective guest. A worldwide average of 4.22 also means a 4.2 property is just average, not good.
Answering reviews pays, up to a point
Two sources measured what happens when owners respond. TripAdvisor and Ipsos MORI (tripadvisor.com) asked travelers directly. Cornell (cornell.edu) matched the response behavior of 80 hotels to their actual sales data, and found the payoff has a ceiling.
Statistic 12
77% of travelers are more likely to book when an owner posts personalized responses to reviews, and 79% say those responses make the reviews more useful.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
Statistic 13
89% of travelers say a thoughtful response to a negative review improves their impression of a business.
TripAdvisor and Ipsos MORI, 23,292-user study (2019)
Statistic 14
Management responses to reviews improve hotel sales and revenue, but returns diminish after about a 40% response rate. The study covered 80 hotels.
Cornell University, hotel review response study (2017)
Statistic 15
Hotels that respond to more than 85% of reviews perform worse than hotels that respond to none.
Cornell University, hotel review response study (2017)
What this means: Answer the hard ones first. In the Cornell data, ratings rise more when hotels respond constructively to critical reviews than when they acknowledge positive ones, and answering everything reads as noise. A response strategy is a triage strategy.
How ratings change buying
Northwestern University's Spiegel Research Center (northwestern.edu) studied review effects on real purchase data. Its findings are from e-commerce, and they explain the mechanics operators see on booking platforms: early reviews matter most, and perfection backfires.
Statistic 16
A product with five reviews is 270% more likely to be bought than a product with no reviews.
Northwestern University, Spiegel Research Center
Statistic 17
Reviews matter more when the purchase is expensive. Displaying reviews raised conversion 380% for higher-priced products versus 190% for lower-priced ones.
Northwestern University, Spiegel Research Center
Statistic 18
Purchase likelihood peaks at ratings between 4.0 and 4.7, then falls as ratings approach a perfect 5.0.
Northwestern University, Spiegel Research Center
Statistic 19
A verified buyer badge improves the odds of purchase by 15%. The benefit of additional reviews fades quickly after the first five.
Northwestern University, Spiegel Research Center
What this means: The first five reviews on a new listing carry the most weight, and a spotless 5.0 reads as too good to be true. A high rating with a few honest imperfections sells better than perfection.
The bar keeps rising
BrightLocal (brightlocal.com) has run its Local Consumer Review Survey for over a decade; the 2026 edition polled 1,002 US adults. BrightLocal sells review tools to local businesses, so it has a stake in the topic, but the survey is the recurring benchmark the industry quotes.
Statistic 20
97% of consumers read online reviews for local businesses when choosing where to spend money.
BrightLocal, Local Consumer Review Survey (2026)
Statistic 21
49% of consumers trust online reviews as much as the opinions of people they know.
BrightLocal, Local Consumer Review Survey (2026)
Statistic 22
31% of consumers will only use a business rated 4.5 stars or higher, up from 17% a year earlier. 47% will not use a business with fewer than 20 reviews.
BrightLocal, Local Consumer Review Survey (2026)
What this means: The acceptable floor is moving up fast. In one year, the share of consumers demanding 4.5 stars nearly doubled. Holding a rating means catching problems before guests do; our hotel room inspection statistics report covers what that inspection work looks like at scale.
Cite this study
Academic or press use: copy a ready-made reference. RapidEye is the publisher.
Quick FAQ
How much is a one-star rating increase worth?
For restaurants, a one-star increase on Yelp leads to a 5 to 9 percent increase in revenue, per a Harvard Business School study of Washington State tax records. For hotels, a one-point gain on a 5-point scale supports an 11.2% higher price at the same occupancy, per Cornell research using Travelocity data.
Do people actually read reviews before booking?
Yes. 81% of travelers always or frequently read reviews before booking a place to stay, and they read an average of nine before deciding, per a TripAdvisor study of 23,292 users conducted with Ipsos MORI. 52% say they would never book a hotel with no reviews.
Does responding to reviews increase revenue?
Yes, up to a point. Management responses improve hotel sales and revenue, but returns diminish after about a 40% response rate, and hotels that answer more than 85% of reviews perform worse than hotels that answer none, per Cornell research on 80 hotels. Travelers agree responses matter: 77% are more likely to book when owners post personalized responses, per TripAdvisor.
Is a perfect 5.0 rating best?
No. Purchase likelihood peaks at ratings between 4.0 and 4.7 and falls as ratings approach 5.0, per Northwestern's Spiegel Research Center. Shoppers read a spotless score as too good to be true.
Data sources
Every figure on this page traces to one of these named sources, each checked against the original before publishing.
Harvard Business SchoolWorking paper on Yelp ratings and restaurant revenue (2011, rev. 2016)hbs.edu
Cornell UniversityCHR lodging performance report (2012); hotel review response study (2017)cornell.edu
TripAdvisorGlobal review studies with Ipsos MORI, 23,292 users (2019)tripadvisor.com
Northwestern UniversitySpiegel Research Center online review studynorthwestern.edu
BrightLocalLocal Consumer Review Survey, 1,002 US adults (2026)brightlocal.com