Country Overview

Hotels Insights Overview in United States

High-level insights and trends for Hotels in United States.

This overview shows national patterns for Hotels and where results differ between cities.

Start broad here, then open a city hub to inspect the platforms and articles driving each pattern.

Browse Topics

Platform performance snapshot

Track platform-level signals for Hotels in United States, then drill into city hubs to confirm what is driving the trend.

Tripadvisor
4.2★
Avg reviews per location: 5,253
Locations sampled: 5
Businesses analyzed: 353
Google Maps
3.9★
Avg reviews per location: 5,337
Locations sampled: 19
Businesses analyzed: 338

Top Cities

Performance breakdown by major cities.

Las Vegas

Nevada

View City
Google Maps Tripadvisor Aggregate

New York

New York

View City
Google Maps Tripadvisor Aggregate

San Francisco

California

View City
Google Maps Tripadvisor Aggregate

Action playbook

Use this sequence to move from country-level patterns to practical actions your local teams can execute.

Spot the largest gap

Review the platform cards, then identify where ratings or review pace are lagging.

Verify root causes

Open the relevant city hub and topic pages to isolate recurring operational themes.

Validate progress

Recheck this page after 30 to 90 days to confirm your change is improving signals.

Market signal summary

This summary keeps platform-level averages visible so teams can anchor decisions before drilling into topic pages.

Tripadvisor

Average rating: 4.17★

Average reviews per location: 5,253

Country sample size: 353

Google Maps

Average rating: 3.93★

Average reviews per location: 5,337

Country sample size: 338

Topic priorities in this scope

These are the strongest complaint themes in this scope based on platform analysis payloads.

  1. Room

    18.0%
  2. Service

    13.1%
  3. Maintenance

    6.6%

Data quality and coverage

Use these indicators to judge whether the current overview has enough coverage for confident decisions.

Insights

9

Platforms

3

Cities

3

Last update

May 25, 2026

Guided next steps

Follow this path to move from high-level signal to concrete local execution.

Role-based playbook

Assign ownership early so improvements are measurable and operationally accountable.

Business owner

Choose one KPI to improve this month, then track ratings and review volume before moving to the next priority.

Operations manager

Pick one recurring weak pattern, assign an owner, and review progress weekly with frontline teams.

Marketing lead

Align messaging with the strongest strengths, and avoid overpromising in weak areas until operations improve.

Reviato methodology

Reviato combines cross-platform review signals into a comparable view, then links each metric to source pages for validation.

How are platform metrics normalized?

We standardize platform metrics to shared fields and preserve platform labels so teams can compare consistently without losing context.

What is the best way to use this overview?

Start with the largest deviation, verify it in topic and city pages, then assign one operational owner and recheck in 30 to 90 days.

About this analysis

See who published the overview, how broad the coverage is, and when the scope was last updated.

Role
Review intelligence editorial team
Last updated
May 25, 2026
Market scope
United States, Hotels
Platforms included
3
Localities in scope
3

Continue through this market

Use these links to move from the current overview into supporting topic pages and the documents that define scope and method.

Insights team

Reviato Insights Team

Review intelligence editorial team

Reviato's insights team publishes review intelligence built from public platform data, market-level aggregation, and documented analysis standards.