Why are Booking.com reviews especially good for aspect analysis?

They focus on practical stay issues, cleanliness, comfort, staff, value, location, so patterns show up clearly.

What does Reviato do with Booking.com reviews?

It aggregates reviews and surfaces aspect drift, sentiment shifts, and recurring themes over time.

Do you reply to Booking.com reviews from Reviato?

No. Reviato does not publish responses or reply to reviews.

What aspects can I track?

Cleanliness, location, value, comfort, staff/service, and amenities.

What's the difference between sentiment and aspects?

Sentiment is the tone (positive/negative). Aspects are the topics (cleanliness, comfort, staff).

Can I filter Booking.com reviews by property and date?

Yes. Filter by date range, rating, and location or property.

How do I investigate a suspected issue?

Filter to recent low ratings, search for keywords, then skim highlights to confirm repetition.

Do you improve Booking.com's score algorithm or ranking?

No. It helps you fix issues guests complain about, which is the only sustainable lever you control.

Can I see unit-level insights?

If you structure by properties/units in Reviato, you can compare patterns across them.

Do you integrate with channel managers or do competitor-rate shopping?

No. Reviato focuses on review analytics, not distribution or pricing tools.

Does Reviato include platform links back to Booking.com?

When you store platform references per property, you can keep a direct link for quick cross-checking.

Platforms

Booking.com review analytics for hotels and rentals

Track Booking.com aspect trends across stays, cleanliness, comfort, value, staff, and more, so you can spot what changed and fix it before it spreads.

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 analysis: Track cleanliness, comfort, value, location, staff/service, and amenities. Perfect for aspect analysis.
Sentiment highlights: Skim the phrases doing the damage (or earning the praise) without reading every line.
Trend tracking: Watch rating movement, which topics show up more often, and whether sentiment is improving.
Search & filter: Filter to last 14 days, only low scores, one property vs the rest, before vs after a change.

Common patterns

Cleanliness and comfort

Repeat mentions of rooms, linens, and fixtures.

Staff and check-in

Comments about front desk speed and clarity.

Value drift

Price concerns after changes or season shifts.

What we extract from Booking.com reviews

Review text

The full review content for analysis.

Rating and date

The score and timestamp to track trends.

Location or unit

The property or unit when available.

Aspect signals

Cleanliness, comfort, staff, value, location, and amenities.

Booking.com reviews are blunt and practical

Guests talk about the stay: cleanliness, comfort, staff, value, location, and whether basic things worked.

That structure makes Booking.com feedback perfect for aspect analysis, you can see patterns fast, without reading every line.

Example investigations

Cleanliness complaints in one unit

Filter last 30 days, low ratings. Search "dirty", "smell", "bathroom". Compare units to find the outlier.

Value sentiment down after price change

Set date split: before vs after. Search "expensive", "overpriced", "not worth". Compare sentiment in highlights.

What it is not

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

See what changed before it becomes your reputation

Track Booking.com aspect trends across stays.

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