Topic

Cleanliness review insights for New York, US, Hotels

Detailed Cleanliness analysis for New York, US, Hotels.

This view focuses on Cleanliness signals in New York, US, Hotels to help you understand what guests mention most.

Use the linked insight articles to check examples, then prioritize one fix your team can execute this week.

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Scope navigation

This topic view focuses on Hotels in New York, US. Compare with country-level data to decide if this is regional variation or a wider trend.

US topics Hotels topics in US New York, US topics Performance overview

Key takeaway

Start with the largest deviation, confirm confidence, then move through the guided journey to execute quickly.

Current scope

New York, US, Hotels

Largest gap

N/A

Confidence

1,288 reviews analyzed across 2 platforms.

Context

Coverage

2 insight pages mention Cleanliness in this scope.

Signal strength

Signal data is not available for this topic in the current scope.

Next step

Use these topic signals to prioritize one operational change, then check fresh reviews to confirm impact.

Compare New York, US against national Hotels patterns to identify where local execution diverges.

Cleanliness patterns usually point to operational choices that directly affect conversion and repeat visits for Hotels.

Top recurring drivers

These are the strongest recurring drivers behind this topic in the current scope.

Google Maps

Top complaints

  • dirty rooms, bed bugs, or pests (hair in bathrooms, cockroaches, stained sheets) (18.0%)

Top praises

  • clean, comfortable rooms and good value for the area (22.0%)

Tripadvisor

Top complaints

  • Poor cleanliness or pests (stains, mildew smells, roaches/bedbugs) (10.0%)

Top praises

  • Clean, comfortable rooms with good beds and views (25.0%)

Representative review quotes

Representative review excerpts add operational context to the topic signals.

Google Maps · Complaint quote

"Having just returned from a 6 night stay...everyone's worst fear bed bugs!"

Review rating: 1

Google Maps · Praise quote

"The staff is AWESOME!! Matina / Kesh/ Rush are so nice!...I LOVE NEW YORK and DEFINITELY LOVE AC HOTEL DOWNTOWN!"

Review rating: 5

Tripadvisor · Complaint quote

"The air conditioner didn’t work in our room. They sent someone to “fix” it. It didn’t fix the problem. They said they would give us a new room, but all the rooms were like this."

Review rating: 1

Tripadvisor · Praise quote

"The staff were very friendly and helpful. We had an issue with the room type upon check in and the front desk agent, Destiny, helped us with obtaining a room with a sofa bed for the remainder of our stay."

Review rating: 5

Evidence from source analysis

These snippets come from aggregated analysis text and highlight recurring language tied to this topic.

Google Maps Complaint signal
"dirty rooms, bed bugs, or pests (hair in bathrooms, cockroaches, stained sheets)"

Signal: 18.0%

Google Maps Praise signal
"clean, comfortable rooms and good value for the area"

Signal: 22.0%

Tripadvisor Complaint signal
"Poor cleanliness or pests (stains, mildew smells, roaches/bedbugs)"

Signal: 10.0%

Tripadvisor Praise signal
"Clean, comfortable rooms with good beds and views"

Signal: 25.0%

Quality and confidence

Check coverage and freshness before treating differences as operational priorities.

Reviews analyzed

1,288

Platforms covered

2

Last update

December 10, 2025

Interpretation

This interpretation highlights the largest deviations from the selected baseline so teams can prioritize faster.

Not enough comparison data is available for interpretation in this scope.

Guided journey

Move through these pages in order to validate findings and choose the next operational action.

Back to topic library Open overview US topics

Role-based actions

Assign one owner per role so this topic moves from insight to action without ambiguity.

Business owner

Set one measurable target for this topic and review progress at fixed monthly checkpoints.

Operations manager

Define one process fix tied to this topic and review frontline adherence weekly.

Marketing lead

Align guest communication with your strongest signals, and address weak themes before promotional pushes.

Why this differs from generic dashboards

Reviato emphasizes actionable comparisons over vanity averages so teams can execute with confidence.

Cross-platform discipline

We preserve platform context and compare like-with-like to avoid mixing structurally different review behaviors.

Validation workflow

Every insight should be validated in linked articles and source pages before operational rollout.

FAQ

Related insights

Review source articles behind this topic before choosing the next action.