Insights
2
City Hub
Central intelligence hub for Hotels in Las Vegas, US.
This page brings your city-level insights into one place so you can move from signal to action quickly.
Check benchmark and topics together to separate one-off noise from recurring operational issues.
Navigate to specific analyses.
This snapshot helps you evaluate platform coverage and freshness before acting.
Insights
2
Platforms
2
Last update
December 28, 2025
Tripadvisor
4.0★
Avg reviews per location: 2,313
Google Maps
4.2★
Avg reviews per location: 20,832
These platform highlights come from the current city analysis files and show where guest friction or strength appears most often.
Google Maps
Tripadvisor
Representative excerpts help validate whether the quantified signals reflect recurring frontline experiences.
Google Maps · Complaint quote
"They stole $557 from me, in addition to charging me for one night's stay. It's the worst hotel ever. The rooms were dirty, the sheets, towels, and bathrooms were filthy, and the carpet was disgusting."
Review rating: 1
Google Maps · Praise quote
"Clean facility, off the beaten path. Breakfast was good. Scrambled eggs, Canadian bacon, hash browns. Breads, muffins and waffle maker. Coffee and juice. I really appreciate that the food was hot."
Review rating: 4
Tripadvisor · Complaint quote
"Nasty place and smells terrible. The bathroom is terrible, the toilet was unstable and disgusting, the hallways smelled terrible, lack of management in every way."
Review rating: 2
Tripadvisor · Praise quote
"The room is very spacious, neat/clean, and everything you need for a comfortable stay provided. The breakfast was amazing with variety of healthy foods. I will consider this hotel during my next trip to Las Vegas"
Review rating: 5
Use this page to move from platform-level signal to a concrete city action plan.
Spot the signal
Start with platform patterns to see where guest signals are strongest, weakest, or drifting.
Validate with evidence
Use linked analyses to confirm whether differences are recurring patterns or isolated noise.
Execute in sequence
Convert one validated pattern into a single operational action with a clear owner and checkpoint.
Review linked city analyses by platform to validate patterns before execution.
Las Vegas hotel owners can use TripAdvisor reviews to protect tourist bookings, fix stay issues fast, and improve TripAdvisor ranking with simple weekly steps.
Las Vegas hotel owners can use Google Maps reviews to protect rates, fix service gaps, and get more bookings with faster replies and smart asks each week.
Las Vegas hotel owners compare Google Maps and TripAdvisor reviews and use a clear decision framework to choose which platform to prioritize for bookings.