Google Maps
Complaint signal is 18.8%.
Praise signal is 36.2%.
Baseline signal is 17.8%.
Delta vs baseline is 1.0 points.
Topic
What reviews say about room in United States
Room appears in 18.4% of analyzed complaint excerpts in this market.
Google Maps is above the baseline by 1.0 percentage points.
- Confidence
- 257,198
- Reviews analyzed
- Last update
- August 24, 2026
- 2 platforms in the sample
At a glance
Share of complaint snippets where this topic appears by platform.
This metric tracks topic presence in complaint snippets, not positive versus negative sentiment split.
Balance is praise minus complaint for this topic on the same platform.
Tripadvisor
Signal balance: +31.8pp
Complaint signal
18.0%
Praise signal
49.8%
Google Maps
Signal balance: +17.5pp
Complaint signal
18.8%
Praise signal
36.2%
How this market compares
Compare this country-level view with global cross-category patterns.
Largest gap:
Google Maps is above baseline by 1.0 points.
Google Maps
Global baseline
17.8%
Tripadvisor
Global baseline
18.0%
Platform-by-platform signal
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 18.0%.
Praise signal is 49.8%.
Baseline signal is 18.0%.
Delta vs baseline is 0.0 points.
Largest difference from baseline
This is the largest measured difference between the current market and its available baseline.
Google Maps
1.0pp aboveCurrent signal is above baseline by 1.0 points (current 18.8%, baseline 17.8%).
Tripadvisor
0.0pp belowCurrent signal is below baseline by 0.0 points (current 18.0%, baseline 18.0%).
What reviewers keep mentioning
These themes appear most often in the analyzed excerpts for this market.
Tripadvisor
Top complaints
Bed Bugs
Tripadvisor
Top complaints
Room was dirty.
Tripadvisor
Top complaints
Small rooms.
Tripadvisor
Top praises
The room was clean and comfortable.
Tripadvisor
Top praises
The room was clean.
Tripadvisor
Top praises
Room was clean.
Google Maps
Top complaints
Rooms are small.
Google Maps
Top complaints
Small rooms.
Google Maps
Top complaints
Tiny rooms.
Google Maps
Top praises
Clean rooms.
Google Maps
Top praises
Room was clean.
Google Maps
Top praises
Clean room.
Representative review quotes
These excerpts show the review language behind the measured signal.
Tripadvisor
Complaint quote
The rooms were dirty.
Review rating: 1.0
Tripadvisor
Praise quote
From the Moment we pulled up to the Valet and we were greeted by Jonathan the Bellman we knew we were in for a great stay.The Property is Beautiful right on the water with Beautiful views and everything is clean.We were checked in By Dominique with a smile and Recognized as an IHG Member and upgraded to a higher floor.Jonathan brought our luggage right to our room and even got ice for our cooler.The Pool was beautiful each day and the food was great.We brought our small Dog and the hotel is super pet Friendly.Each day everyone was so friendly and gave our dog so much attention he loved it.
Review rating: 5.0
Google Maps
Complaint quote
However, when calling to talk, discuss, dialogue--the hotel simply stated I ordered the room through third party and that I should speak with them.
Review rating: 2.0
Google Maps
Praise quote
Good service and breakfast , the room was perfect, the price is correct
Review rating: 5.0
What the signal means
Coverage
2817 insight listings mention Room in this scope.
Signal strength
Complaint signal is 18.4% across available platforms.
Praise signal is 43.0% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
This country view combines every indexed category with evidence for this topic in United States. Use it as a broad baseline, then open a category view before applying the pattern to a particular kind of business. Differences in complaint rate, praise rate, source mix, and excerpts show where a narrower check may be more useful.
Use the Room signal to decide where to look, then check it against recent feedback from your own local businesses.
Evidence behind this topic
- Room groups review language such as room, bed, bathroom, shower, amenity, and view, so the signal stays tied to concrete guest wording rather than a generic score.
- United States uses 257198 analyzed reviews across 2 platforms, 45 locality records, and 2817 supporting insight listings for Room.
- Google Maps has the strongest complaint signal for Room at 18.8%, compared with a measured average of 18.4% across platforms.
- Tripadvisor has the strongest praise signal for Room at 49.8%, compared with a measured average of 43.0% across platforms.
How reliable is this signal?
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
257,198
Platforms covered
2
Last update
August 24, 2026
Reports behind this finding
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
Google Maps
HotelsWhat Google Maps reviews show about noise at Los Angeles hotels
Noise appears in the Google Maps review sample for Los Angeles hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Los Angeles · August 08, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about amenities at Los Angeles hotels
Amenities appears in the TripAdvisor review sample for Los Angeles hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Los Angeles · August 08, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about location at Atlanta hotels
Location appears in the Google Maps review sample for Atlanta hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Atlanta · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about service at Atlanta hotels
Service appears in the TripAdvisor review sample for Atlanta hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Atlanta · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about breakfast at Kansas City hotels
Breakfast appears in the Google Maps review sample for Kansas City hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Kansas City · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about breakfast at Kansas City hotels
Breakfast appears in the TripAdvisor review sample for Kansas City hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Kansas City · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about amenities at Las Vegas hotels
Amenities appears in the Google Maps review sample for Las Vegas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Las Vegas · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about amenities at Las Vegas hotels
Amenities appears in the TripAdvisor review sample for Las Vegas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Las Vegas · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about wifi at New York hotels
Wifi appears in the Google Maps review sample for New York hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
New York · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about wait time at New York hotels
Wait time appears in the TripAdvisor review sample for New York hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
New York · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about room maintenance at Philadelphia hotels
Room maintenance appears in the Google Maps review sample for Philadelphia hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Philadelphia · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about room maintenance at Philadelphia hotels
Room maintenance appears in the TripAdvisor review sample for Philadelphia hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Philadelphia · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about breakfast at Dallas hotels
Breakfast appears in the Google Maps review sample for Dallas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Dallas · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about breakfast at Dallas hotels
Breakfast appears in the TripAdvisor review sample for Dallas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Dallas · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at Houston hotels
Cleanliness appears in the Google Maps review sample for Houston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Houston · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about cleanliness at Houston hotels
Cleanliness appears in the TripAdvisor review sample for Houston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Houston · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about wifi at Seattle hotels
Wifi appears in the Google Maps review sample for Seattle hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Seattle · July 31, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about breakfast at Seattle hotels
Breakfast appears in the TripAdvisor review sample for Seattle hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Seattle · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at San Francisco hotels
Cleanliness appears in the Google Maps review sample for San Francisco hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
San Francisco · July 30, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about breakfast at San Francisco hotels
Breakfast appears in the TripAdvisor review sample for San Francisco hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
San Francisco · July 30, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at Miami hotels
Cleanliness appears in the Google Maps review sample for Miami hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Miami · July 30, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about noise at Miami hotels
Noise appears in the TripAdvisor review sample for Miami hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Miami · July 30, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about noise at Boston hotels
Noise appears in the Google Maps review sample for Boston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Boston · July 30, 2026
Read Full Insight
TripAdvisor
HotelsWhat TripAdvisor reviews show about breakfast at Boston hotels
Breakfast appears in the TripAdvisor review sample for Boston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Boston · July 30, 2026
Read Full Insight
Keep exploring
Compare this finding with another topic or a broader market.
Compare another market
This page combines several categories in United States. Choose a category for a more precise comparison.
Look at a narrower market
See how Room changes across a more specific category or region.
Other themes in this market
Compare other themes in United States to see whether this finding stands alone or belongs to a wider pattern.
Where to go next
Compare the broader market or return to the topic library.