Tripadvisor
Complaint signal is 3.3%.
Praise signal is 14.1%.
Product
Appearance
System
Topic
Cleanliness appears in 3.0% 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
3.3%
Praise signal
14.1%
Complaint signal
2.8%
Praise signal
9.3%
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 3.3%.
Praise signal is 14.1%.
Google Maps
Complaint signal is 2.8%.
Praise signal is 9.3%.
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.
Dirty
Dirty.
$12.95 for dirty bagel and lox.
Clean.
Very clean.
The room was clean.
Dirty.
$15 for a glass of wine, and it was dirty, there was something in it.
$40 for dirty dishes
Clean.
Very clean.
Clean rooms.
These excerpts show the review language behind the measured signal.
The bathrooms dirty and smelled and toilet clogged.
Review rating: 1.0
It felt safe and clean.
Review rating: 5.0
It was very dirty on the inside of the restaurant and our booth was sticky.
Review rating: 1.0
The food was delicious, the restaurant clean, but the best part was the service.
Review rating: 5.0
Coverage
6902 insight listings mention Cleanliness in this scope.
Signal strength
Complaint signal is 3.0% across available platforms.
Praise signal is 11.7% 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 Cleanliness 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
701,914
Platforms covered
2
Last update
August 25, 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
RestaurantsCleanliness appears in the Google Maps review sample for Seattle restaurants. 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
RestaurantsLocation appears in the TripAdvisor review sample for Seattle restaurants. 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
RestaurantsCleanliness appears in the Google Maps review sample for Vancouver restaurants. 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
RestaurantsNoise appears in the TripAdvisor review sample for Vancouver restaurants. 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 Cleanliness 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.