Spot the largest gap
Review the platform cards, then identify where ratings or review pace are lagging.
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.
Platform performance snapshot
Track platform-level signals for Hotels in United States, then drill into city hubs to confirm what is driving the trend.
Aggregate
4.1★
Avg reviews per location: 2,437
Locations sampled: 66
Businesses analyzed: 2,771
Google Maps
4.0★
Avg reviews per location: 2,448
Locations sampled: 50
Businesses analyzed: 1,310
Tripadvisor
4.1★
Avg reviews per location: 2,401
Locations sampled: 16
Businesses analyzed: 1,461
Top Cities
Performance breakdown by major cities.
Action playbook
Use this sequence to move from country-level patterns to the local evidence your teams should review.
Check recurring evidence
Open the relevant city hub and topic pages to isolate recurring themes.
Review movement
Recheck the same market view after 30 to 90 days to see whether the signal changed.
Market signal summary
This summary keeps platform-level averages visible so teams can anchor decisions before drilling into topic pages.
Tripadvisor
Average rating: 4.12★
Average reviews per location: 2,401
Country sample size: 1,461
Aggregate
Average rating: 4.08★
Average reviews per location: 2,437
Country sample size: 2,771
Google Maps
Average rating: 4.04★
Average reviews per location: 2,448
Country sample size: 1,310
Topic priorities in this scope
These are the strongest complaint themes in this scope based on platform analysis payloads.
-
Room
19.3% -
Service
14.5% -
Maintenance
9.6% -
Value
9.1% -
Location
8.5% -
Cleanliness
8.4%
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
July 08, 2026
Guided next steps
Follow this path to move from high-level signal to concrete local execution.
Role-based playbook
Assign ownership early so review points are measurable and operationally accountable.
Business owner
Choose one signal to monitor this month, then track ratings and review volume before moving to the next priority.
Operations manager
Pick one recurring weak pattern, name an owner, and review movement weekly with frontline teams.
Marketing lead
Align messaging with the strongest strengths, and avoid overpromising in weak areas until local evidence improves.
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.
- Author
- Reviato
- Role
- Review intelligence publishing
- Publishing standards
- Read the publishing standards
- Last updated
- July 08, 2026
- Market scope
- United States, Hotels
- Platforms included
- 3
- Localities in scope
- 3
Market context
Use these links to move from the current overview into supporting topic pages and the documents that define scope and method.
Reviato
Reviato
Review intelligence publishing
Reviato publishes review intelligence built from public platform data, market-level aggregation, and documented analysis standards.