What is hotel review analytics?

It's turning reviews into operational signals, recurring themes, aspect sentiment, and trend shifts, so you can diagnose what's happening on property.

Which platforms can Reviato aggregate for hotels?

Google Maps, TripAdvisor, Booking.com, Airbnb, and Facebook, analyze them together instead of checking each site separately.

We already read reviews. Why do we need analytics?

Reading reviews surfaces anecdotes. Analytics surfaces patterns, what is repeating, when it started, and whether it is getting better or worse.

What hotel aspects can we track?

Common aspects include cleanliness, room condition, staff/service, sleep/noise, location, amenities, and value.

How does aspect analysis help with recurring issues like cleanliness or noise?

It groups feedback into operational categories and highlights the phrases that carry the sentiment.

Can Reviato show whether a fix worked?

Yes. Trend tracking shows how ratings, topics, and sentiment move over time.

Does Reviato handle messaging or replies?

No. Reviato is for analytics, trends, and investigation, not messaging or review response management.

Can we compare performance across properties?

Yes. Filter by location and compare trends to see whether the issue is property-specific or portfolio-wide.

What does "entity extraction" mean for hotels?

It identifies specific things guests mention, room types, amenities, staff names, nearby landmarks, so you can track what is getting attention.

Is this useful for small hotels?

Yes. Even a single property benefits from pattern visibility, seeing drift early instead of after the season.

Solutions

Hotel Review Analytics Software

Hotel reviews are operational diagnostics. Reviato aggregates reviews across major platforms, then tracks aspect sentiment and trends so GMs can verify issues.

How to use this page

Use this page as a practical reference, then apply the ideas to your own operation and constraints.

Focus on one actionable change at a time and measure outcomes before moving to the next change.

Key Highlights

Aspect sentiment analysis: Track cleanliness, room condition, staff, sleep/noise, location, amenities, and value across all platforms.
Multi-platform aggregation: Aggregate reviews from Google Maps, TripAdvisor, Booking.com, Airbnb, and Facebook in one view.
Trend tracking: See rating movement, topic shifts, and sentiment changes over time. Prove what changed and if fixes worked.
Entity extraction: Identify amenities, places, and patterns guests mention most to surface operational insights.
Search and filtering: Isolate timeframes, platforms, and rating ranges to investigate specific issues quickly.
Review highlights: See the exact phrases driving sentiment so you can skip the noise and focus on what matters.

Hotel aspect model

Cleanliness

Bathrooms, linens, odors, public areas. Common words: "spotless", "dirty", "smelled".

Noise and sleep

Hallways, street noise, HVAC, neighbors. Common words: "quiet", "loud", "couldn't sleep".

Breakfast

Quality, variety, timing. Common words: "stale", "fresh", "crowded".

Maintenance

Fixtures, HVAC, plumbing. Common words: "broken", "dated", "working".

Check-in

Front desk, wait time, clarity. Common words: "slow", "easy", "confusing".

Value

Price vs experience, fees, upgrades. Common words: "overpriced", "worth it".

Examples

Breakfast complaints rising

Check if one shift or property drives the change.

Noise issues by unit

Compare floors or unit types when noise mentions spike.

Property A vs Property B

Unit A shows rising cleanliness mentions while Unit B shows check-in confusion.

Hotel reviews are operational diagnostics

GMs don't need a dashboard. They need a way to answer: what's repeating, what changed, and did the fix work?

Reviato turns scattered guest feedback into a pattern you can see and track, cleanliness, service, noise, value, across every platform guests use.

What it is not

Reviato is not a shared inbox for replying to reviews, a messaging platform, or a listings manager.

What you will see

Review inbox

A single stream of hotel reviews across platforms.

Aspect breakdown

Cleanliness, noise, breakfast, maintenance, check-in, and value.

Trend chart

Rating and sentiment movement over time.

Turn reviews into operational diagnostics

See what's repeating, what changed, and whether fixes worked.

See Pricing See Sample Insights

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