Tripadvisor
Complaint signal is 10.2%.
Praise signal is 13.0%.
Baseline signal is 11.0%.
Delta vs baseline is -0.8 points.
Product
Appearance
System
Topic
Wait Time appears in 8.1% of analyzed complaint excerpts in this market.
Google Maps is below the baseline by 0.8 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
5.9%
Praise signal
4.4%
Complaint signal
10.2%
Praise signal
13.0%
Compare this country-level view with global cross-category patterns.
Tripadvisor
Global baseline
11.0%
Google Maps
Global baseline
6.8%
Compare complaint and praise mentions by source, including the available baseline.
Tripadvisor
Complaint signal is 10.2%.
Praise signal is 13.0%.
Baseline signal is 11.0%.
Delta vs baseline is -0.8 points.
Google Maps
Complaint signal is 5.9%.
Praise signal is 4.4%.
Baseline signal is 6.8%.
Delta vs baseline is -0.9 points.
This is the largest measured difference between the current market and its available baseline.
Google Maps
0.8pp belowCurrent signal is below baseline by 0.8 points (current 5.9%, baseline 6.8%).
Tripadvisor
0.8pp belowCurrent signal is below baseline by 0.8 points (current 10.2%, baseline 11.0%).
These themes appear most often in the analyzed excerpts for this market.
Can’t wait to come back!
Can’t wait to go back!
Can't wait to come back!
100% must visit in our books, great wine, amazing atmosphere and the food is fantastic!
5 stars in my book!
Can't wait to go back.
We can’t wait to come back!
We can’t wait to return!
No reservations.
Reservations are recommended.
These excerpts show the review language behind the measured signal.
There is no wait time here as everyone is served as soon as possible, and the team gets to the orders right away.
Review rating: 5.0
They quoted a pickup charge that was 3x the cost of an Uber so you can see how I would assume they would “follow the flight” like all other airport pickup services we have booked.
Review rating: 1.0
She also helped me out on my flight home ( which I booked) and went to great effort to ensure I was on the flight and checked in.
Review rating: 5.0
Coverage
1143 insight listings mention Wait Time in this scope.
Signal strength
Complaint signal is 8.1% across available platforms.
Praise signal is 8.7% 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 Wait Time 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
94,395
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
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
RestaurantsCleanliness appears in the Google Maps review sample for New York 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 New York 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 Buffalo 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 Buffalo 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
CafesNoise appears in the Google Maps review sample for New York cafes. 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
CafesValue appears in the TripAdvisor review sample for New York cafes. 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
BarsCleanliness appears in the Google Maps review sample for New York bars. 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
BarsCleanliness appears in the TripAdvisor review sample for New York bars. 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 combines several categories in United States. Choose a category for a more precise comparison.
Compare other themes in New York, United States to see whether this finding stands alone or belongs to a wider pattern.
Compare the broader market or return to the topic library.