Tripadvisor
Complaint signal is 7.1%.
Praise signal is 7.8%.
Product
Appearance
System
Topic
Maintenance appears in 6.7% of analyzed complaint excerpts in this market.
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.
Complaint signal
7.1%
Praise signal
7.8%
Complaint signal
6.4%
Praise signal
5.3%
Compare this country-level view with global cross-category patterns.
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 7.1%.
Praise signal is 7.8%.
Google Maps
Complaint signal is 6.4%.
Praise signal is 5.3%.
This is the largest measured difference between the current market and its available baseline.
Not enough comparison data is available for interpretation in this scope.
These themes appear most often in the analyzed excerpts for this market.
No AC.
No AC.
Good AC.
These excerpts show the review language behind the measured signal.
I go back and try and sleep but of course I’m a light sleeper and can simply not go back to bed.
Review rating: 1.0
The elevators are broken i’m staying on the 16th floor and have to wait 30 minutes to even get downstairs.i have had to walk on 16 flights of stairs so many times!!
Review rating: 1.0
Coverage
3092 insight listings mention Maintenance in this scope.
Signal strength
Complaint signal is 6.7% across available platforms.
Praise signal is 6.5% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
Use the global view as a baseline, then narrow the analysis to a country, region, or city.
Use the Maintenance signal to decide where to look, then check it against recent feedback from your own local businesses.
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
292,615
Platforms covered
2
Last update
August 24, 2026
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
Google Maps
HotelsBreakfast appears in the Google Maps review sample for Vancouver 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.
TripAdvisor
HotelsAmenities appears in the TripAdvisor review sample for Vancouver 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.
Google Maps
HotelsNoise 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.
TripAdvisor
HotelsAmenities 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.
Google Maps
HotelsLocation 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.
TripAdvisor
HotelsService 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.
Google Maps
HotelsBreakfast 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.
TripAdvisor
HotelsBreakfast 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.
Compare this finding with another topic or a broader market.
Start with the full dataset, then narrow the view by country, region, and category.
See how Maintenance differs from one country to another.
Compare other themes in Global scope to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.