Verdicts per guest market
Not an average score: who stays, how happy they are, whether their demand is rising, and what to do about each market.
Hotel review benchmarking: know which guests are worth defending.
Everyone collects scores. Tharro reads two years of reviews against your comp set, by nationality, category and platform, and gives each guest market a verdict: defend, push, fix first, or watch.
Free for 14 days. No credit card. Cancel anytime.
Origin markets: who stays, how happy, worth money?
24 months of reviewsIsrael39.0% of guests9.60High ↑DEFEND
- Complains about
- Expensive for what you get · distances · slow service
- When they stay
- Peaks May and June · 2.9 nights
Domestic20.2%9.75—DEFEND
United Kingdom6.8%9.35 ↓High ↓WATCH
Greece1.6%9.71MediumPUSH
What a reply tool cannot tell you.
The category that decides
The one category where the comp set beats you, weighted by how much your guests care about it, because that is what AI assistants quote when they skip you.
Momentum before the score moves
A public score moves in months. The trend underneath moves in weeks; you see the slide, and the recovery, first.
What's inside Reviews & Reputation
Israel39.0%DEFEND
United Kingdom6.8%WATCH
Greece1.6%PUSH
Origin-market verdicts
Every guest nationality scored on share, satisfaction, stay length and demand, then handed a verdict: defend, push, fix first, watch.
✓Location · 9.2+0.4
≈Staff · 8.8−0.1
✗Spa · 7.9−0.7
Categories vs your comp set
Location, cleanliness, staff, spa, each category benchmarked against the set, so the one gap that decides bookings stands out.
Booking · 2,1109.6▬
TripAdvisor · 1494.6▼
Expedia · 2109.6▬
Platform leverage
Where one more review still moves your displayed score, and where you are protected by depth, per platform.
✗Slow check-inOPERATIONS
≈Old photosLISTING
✓Beach accesspraised
Complaint themes, tagged
What guests actually complain about, tagged listing, operations, seasonal or expectation, sorted free-fixes first.
Couples · you9.5
Families · contested9.1
Segment head-to-head
Couples, families, business: who owns each segment in your set, and where you satisfy a segment a competitor owns.
UK guests · 30 months9.5 → 9.35
30 months of momentum
The trend under the public score, so you see the slide, and the recovery, months before the average moves.
How hotel review benchmarking works
Step 01
Ingest
Two years of reviews across the major platforms, for you and your comp set, read continuously as new ones land.
Step 02
Benchmark
Scores broken down by category, nationality, segment and platform, always against the set, never in a vacuum.
Step 03
Verdict
Each guest market and each category lands with a verdict and the fix behind it, ranked into the weekly plan.
What is hotel review analytics?
Hotel review analytics is the systematic analysis of guest reviews as structured data (scores, categories, segments, themes and trends) rather than as individual messages to answer. Done properly it spans platforms (a Booking.com-only view misses the guests who never book there) and spans the competitive set, because a review score only means something relative to the hotels a guest compares you with.
How to benchmark your hotel's reviews against competitors
Three practices separate useful benchmarking from vanity comparison. Normalize the scales first: a 9.0 on Booking.com and a 4.5 on TripAdvisor are not the same signal, and platform populations differ. Compare distributions, not just averages: two hotels at 8.8 can be one consistent product and one coin-flip. And weight by segment: losing to a competitor overall matters less than losing to them with the segment that fills your shoulder season.
Which review platforms matter most?
For European resort and city hotels, Booking.com carries the volume, TripAdvisor carries the research phase and the AI citations, and Expedia carries the North American feeder markets. The strategic answer: the platform that matters most is the one where your target segment reads, which is exactly why single-platform reputation views mislead.
Find your gap before it costs another booking.
Five minutes to set up. One market free for 14 days.
Common questions
What is hotel review benchmarking?
Hotel review benchmarking is reading your reviews and your competitors’ as one dataset: scores by category, nationality, segment and platform, always relative to the comp set, so the gaps that actually cost bookings stand out from the noise.
Is this a review-reply tool?
No, keep the tool you reply with. Tharro is the intelligence layer: which category, which nationality, against which competitor, and whether it is getting better.
Why nationalities instead of an average?
Because guests decide differently. One market can be delighted while another slides; an average hides both, and your source markets deserve separate answers.
Which platforms do you cover?
The major platforms where your guests actually leave reviews, weighted into one picture per category and segment.
Do reviews really affect AI recommendations?
Yes. Assistants quote category strengths and complaint patterns when they choose which hotels to name.
How current is it?
Updated continuously as reviews land, with the trend kept long enough that momentum reads clearly.