What the reviews show

Wait time complaints appeared in 7.33 percent of analyzed Tripadvisor reviews and 7.34 percent of analyzed Google Maps reviews. The absolute gap is 0.01 percentage points. These are unmatched review samples, so the gap does not rank the platforms or establish a cause.

The practical question: Does this wait time pattern appear in recent local reviews?

  • Wait time complaints: 1,536 reviews across 194 businesses.
  • One review described the experience this way: “The duty manager asked to speak with us first, but after waiting over an hour where we saw multiple other guests also complaining about overcharging and poor service.”

Evidence

Wait Time evidence

Tripadvisor reviews show how this topic splits between complaints and praise.

Topic share
Complaint share
9.0%
23,240 reviews across 238 locations · 95% interval 8.6–9.4%
Praise share
9.67%
23,240 reviews across 238 locations · 95% interval 9.3–10.1%
Market context · Complaint share
Room
15.46%
Service
12.07%
Wait Time
9.0%
Value
8.94%
Noise
6.66%
Complaint share
9%
Praise share
9.7%
Reviews analyzed
23,240
Locations
238
Praise example
From the moment we arrived, the service was exceptional.

Tripadvisor

Complaint example
We can’t wait to come back!

Tripadvisor

Why this matters to an operator

The market figures are a benchmark, not a diagnosis. Compare recent wait time mentions by location and period; a local cluster is more useful than the market percentage when deciding where to investigate.

What to compare in your reviews

Start with recent wait time mentions in your own reviews. Compare positive and negative experiences by business and period before changing procedures.

  • Filter recent reviews for wait time references.
  • Compare positive and negative examples by business and period.
  • Use local operating records before changing operations.

Confidence and limits

These figures describe unmatched platform samples, not every business in the market. Use them as context, then confirm any local concern with recent reviews and operating records.

  • Google Maps and Tripadvisor may attract different reviewers and cover different sets of hotels.
  • Reviews describe guest experiences; they do not establish what caused them.
  • The pattern will not apply to every hotel in New York.

Coverage and recency

The broader coverage contains 344 hotels and 785,908 reviews in New York, United States. The topic comparison uses 30,141 distinct reviews from October 15, 2015 through July 31, 2026: 9,192 from Google Maps and 20,949 from Tripadvisor.

Evidence

Evidence snapshot

The article uses this Tripadvisor dataset scope before interpreting review themes.

Tripadvisor rating distribution
5-star
64.79%
15,057 reviews
4-star
13.93%
3,237 reviews
3-star
6.94%
1,613 reviews
2-star
5.07%
1,178 reviews
1-star
9.27%
2,155 reviews
Rating benchmark by geography
New York
4.04
New York
4.05
United States
4.12
Locations
258
Published reviews
653,113
Reviews analyzed
23,240
Reviews with ratings
23,240
Average rating
4.04
Review period
October 25, 2006 to September 01, 2026

Methodology

How Reviato Insights measures market signals.