Your review score sits next to your rate in every comparison a traveler makes against your comp set, and it argues for or against the price you are asking before anyone reaches your website. Owners are told constantly that reputation matters, usually without evidence. The honest position is better than that: the connection between review scores and hotel performance has been studied with real hotel data, and the findings are specific enough to be useful. Here is what the research actually found, what it did not promise, and how to turn it into arithmetic for your own property.

What the Cornell study measured

The classic work is The Impact of Social Media on Lodging Performance, a Cornell Hospitality Report published in November 2012 by Chris Anderson at the Cornell School of Hotel Administration. It did not survey opinions. It matched real datasets: ReviewPro's Global Review Index, an aggregate reputation score built from guest scores on major review sites and online travel agencies, was set against STR's hotel sales and revenue data, alongside transactional data from Travelocity. The matched hotel data covered eleven major markets, six European and five North American, and Cornell's announcement of the findings describes more than 31,000 monthly observations across midscale, upscale, and luxury properties over roughly two and a half years.

One design choice matters more to an owner than any headline number. The study did not measure ADR, occupancy, and RevPAR in isolation. It measured them as indexes against each hotel's STR competitive set: the hotel's ADR divided by the average of its competitors' ADRs, and the equivalent for occupancy and RevPAR. The research was measuring the thing you already watch, which is where you sit against your comp set.

Three findings from the data

  1. Pricing power moved with the score. Using Travelocity's transactional data, the report found that if a hotel increased its review score by one point on the five point scale, for example from 3.3 to 4.3, it could raise its price by 11.2 percent and still hold the same occupancy or market share. That is a rate finding, not a volume finding. In the data, guests kept choosing the hotel at the higher price once the score supported it.
  2. Reputation movement tracked all three owner metrics. Matching ReviewPro's index with STR's numbers, a regression analysis found that a 1 percent increase in a hotel's reputation score was associated with an increase of up to 0.89 percent in ADR, up to 0.54 percent in occupancy, and up to 1.42 percent in RevPAR, each measured against the comp set.
  3. The score was being read. The same report found the share of consumers consulting TripAdvisor reviews before booking had risen steadily across the study period, along with the number of reviews read before choosing.

Notice what the first two findings say together. The ADR effect was larger than the occupancy effect. In that data, a stronger score did more for the rate a hotel could hold than for the number of rooms it filled.

A review score does not set a hotel’s rate. Research suggests it can be one part of the comparison travelers make when considering that rate.

Evidence, not a promise

Handle these numbers with the same care the study did. They are "up to" figures from a regression across many hotels, markets, and months, not a tariff you can apply to one property. The data is more than a decade old, drawn from particular markets and chain scales, and gathered when online travel agencies and review platforms looked different than they do today. Your market, your season, and your comp set are your own. Nobody, HTB included, can promise that moving your score one point moves your ADR or RevPAR by any particular amount, and you should be suspicious of anyone who does.

What the research supports is a narrower and more useful claim. In a large body of real hotel data, review score and pricing power moved together, and the revenue effect came more through rate than through volume. Reputation work, in other words, is rate work. It belongs in the same conversation as your pricing strategy, even though the pricing decision itself never leaves your desk.

Run your own numbers.

Rather than borrowing a 2012 percentage, put your own figures on the table. Three questions get you most of the way.

  • Where does your score sit against your comp set today, on the sites your guests actually book through? Not your score in isolation; the gap.
  • What rate do you want to ask next season, and when a traveler sees that rate beside your score, and beside your comp set's, does the score support it or undercut it?
  • What is the gap costing? Count the room nights you sold below the rate you wanted because the comparison was working against you. Discounted room nights are revenue left behind just as surely as empty rooms.

Be clear about what this exercise is. It is your arithmetic on your own numbers, framed by what published research found in its data, and it stays a hypothetical until your own tracking confirms or corrects it. That is exactly why it is worth running. The answer is yours, not Cornell's.

Where HTB’s role begins and ends

HTB does not set, recommend, or manage rates. Rate, inventory, and every pricing decision stay with the hotel. Our work is on the side the research connects to pricing power: the score and the story a guest compares against your rate.

  • We identify where your reviews and scores sit against your comp set, site by site, and which recurring themes are dragging on them.
  • We monitor reviews and scores continuously, so movement is seen when it happens rather than discovered at year end.
  • We report the position in owner terms: score against comp set, alongside where you sit on rate, so you can judge whether the score supports the rate you want to ask.
  • We recommend what to address first, and where a review theme points at the website, such as wrong amenity details, dated photos, or missing answers, we make those content changes directly.

If all you take from this article is one afternoon checking your score against your comp set and running the arithmetic above, that is a good outcome. The research earned the attention. Your numbers decide what it is worth.