Google Maps
Complaint signal is 9.9%.
Praise signal is 9.9%.
Baseline signal is 9.5%.
Delta vs baseline is 0.4 points.
Product
Appearance
System
Topic
Value appears in 9.6% of analyzed complaint excerpts in this market.
Google Maps is above the baseline by 0.4 percentage points.
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
9.9%
Praise signal
9.9%
Complaint signal
9.3%
Praise signal
13.2%
Compare Hotels in United States with peer markets in other countries.
Google Maps
Global Hotels baseline
9.5%
Tripadvisor
Global Hotels baseline
9.4%
Compare complaint and praise mentions by source, including the available baseline.
Google Maps
Complaint signal is 9.9%.
Praise signal is 9.9%.
Baseline signal is 9.5%.
Delta vs baseline is 0.4 points.
Tripadvisor
Complaint signal is 9.3%.
Praise signal is 13.2%.
Baseline signal is 9.4%.
Delta vs baseline is -0.1 points.
This is the largest measured difference between the current market and its available baseline.
Google Maps
0.4pp aboveCurrent signal is above baseline by 0.4 points (current 9.9%, baseline 9.5%).
Tripadvisor
0.1pp belowCurrent signal is below baseline by 0.1 points (current 9.3%, baseline 9.4%).
These themes appear most often in the analyzed excerpts for this market.
Not worth the price.
Good value for money.
Excellent value for money.
Great value.
Not worth the price
Great value
Good value
Good value.
These excerpts show the review language behind the measured signal.
Front desk Morena was amazing help us patience I will recommend this please affordable prices above beyond
Review rating: 5.0
Coverage
2805 insight listings mention Value in this scope.
Signal strength
Complaint signal is 9.6% across available platforms.
Praise signal is 11.5% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
This Hotels view keeps the evidence focused on one business type in United States. Compare its complaint and praise rates with the broader country topic before treating the pattern as category-specific. Check the source mix and review excerpts, then use your own recent feedback to decide whether the same issue deserves attention.
Use the Value signal to decide where to look, then check it against recent feedback from your own Hotels.
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
257,070
Collected reviews: 14,953,984 · Analysis coverage: 1.7%
Platforms covered
2
Last update
August 18, 2026
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
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.
Google Maps
HotelsAmenities 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.
TripAdvisor
HotelsAmenities 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.
Google Maps
HotelsWifi 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.
TripAdvisor
HotelsWait 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.
Google Maps
HotelsRoom 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.
TripAdvisor
HotelsRoom 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.
Google Maps
HotelsBreakfast 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.
TripAdvisor
HotelsBreakfast 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.
Google Maps
HotelsCleanliness 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.
TripAdvisor
HotelsCleanliness 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.
Google Maps
HotelsWifi 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.
TripAdvisor
HotelsBreakfast 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.
Google Maps
HotelsCleanliness 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.
TripAdvisor
HotelsBreakfast 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.
Google Maps
HotelsCleanliness 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.
TripAdvisor
HotelsNoise 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.
Google Maps
HotelsNoise 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.
TripAdvisor
HotelsBreakfast 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.
Compare this finding with another topic or a broader market.
This page covers Hotels in United States. Compare regions and cities to see where the pattern is strongest.
See how Value changes across a more specific category or region.
Compare other themes in United States, Hotels to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.