Executive verdict
Operator question: Does this cleanliness pattern appear in recent local reviews?
Market reviews identify a comparison question; local evidence determines whether action is warranted.
Scope and recency
The broader coverage contains 210 hotels and 511,302 reviews in Florida, United States. The topic comparison uses 18,115 distinct reviews from August 24, 2013 through July 30, 2026: 5,967 from Google Maps and 12,148 from Tripadvisor.
Evidence
Evidence snapshot
The article uses this Aggregate dataset scope before interpreting review themes.
- 5-star
- 57.27%
- 3,621 reviews
- 4-star
- 10.47%
- 662 reviews
- 3-star
- 6.78%
- 429 reviews
- 2-star
- 6.53%
- 413 reviews
- 1-star
- 18.95%
- 1,198 reviews
- 5-star
- 61.2%
- 7,613 reviews
- 4-star
- 11.29%
- 1,404 reviews
- 3-star
- 8.36%
- 1,040 reviews
- 2-star
- 6.39%
- 795 reviews
- 1-star
- 12.76%
- 1,587 reviews
- Locations
- 207
- Published reviews
- 523,299
- Reviews analyzed
- 18,762
- Reviews with ratings
- 18,762
- Average rating
- 4.14
- Review period
- November 15, 2011 to August 30, 2026
The quantified finding
In separate platform samples, Google Maps measured 7.57 percent, while Tripadvisor measured 7.19 percent. The descriptive gap was 0.38 percentage points. Describes a difference between these review samples; it does not establish a platform effect.
Cleanliness complaints: Google Maps: 7.57 percent vs. Tripadvisor: 7.19 percent. Basis: Same market, category, metric, and analysis period; provider samples are not matched by business..
Evidence
Cleanliness complaint share by platform
This describes a difference between the analyzed provider samples; it does not establish a platform effect.
- Google Maps
- 7.39%
- 6,323 reviews across 77 locations · 95% interval 6.8–8.1%
- Tripadvisor
- 7.12%
- 12,439 reviews across 119 locations · 95% interval 6.7–7.6%
- Difference
- 0.27 pp
Why this matters operationally
The platform gap is a lead for local investigation, not a like-for-like market estimate. Begin with this diagnostic: filter recent reviews for cleanliness references. Use local evidence before changing operations.
What to inspect
- Filter recent reviews for cleanliness references.
- Compare positive and negative examples by business and period.
- Use local operating records before changing operations.
Evidence for and against the finding
- Supporting metric: Cleanliness complaints: 7.57 percent across 5,967 reviews and 79 businesses.
- Supporting metric: Cleanliness complaints: 7.19 percent across 12,148 reviews and 118 businesses.
- Supporting comparison: Same market, category, metric, and analysis period; provider samples are not matched by business. The absolute difference is 0.38 percentage points.
- Supporting cluster: Cleanliness complaints: 452 reviews across 69 businesses.
- Supporting cluster: Cleanliness complaints: 873 reviews across 107 businesses.
- Contradictory cluster: Cleanliness praise: 1,028 reviews across 77 businesses.
- Contradictory cluster: Cleanliness praise: 2,713 reviews across 117 businesses.
- Supporting example: “We had paid for early check in at noon but still had to wait till about 2pm to get a room because of over booking on their end, once we got our room the bathtub was filthy and the bathroom reaked of piss.”
- Supporting example: “The rooms were dirty and very outdated—stains in the toilet, mold in the AC vent, hair on the bed and bath mat, dust on the side drawers, cracked flooring, and even a broken dryer.”
- Supporting example: “Mold in the vent, which I’m allergic to so I woke up with hives, sheets not clean, bathroom had clumps of hair, floor and counters were dusty and dirty.”
- Supporting example: “Unfortunately, the situation was just as problematic: the room was damp, the sheets were wet with yellow color and again stained in several places, and the floor was very dirty.”
- Supporting example: “Between the lack of concern shown by the staff, the excessive wait for our rooms, the broken elevator situation, and the filthy condition of the rooms, this was one of the worst hotel experiences I’ve ever had.”
- Contradictory example: “The hotel is incredible, rooms are clean, the atmosphere is great, the best part is the roof top bar, what a View, and the bartender Jose David was amazing,friendly and the drinks were made to perfection 👌, I will definitely come back”.
- Contradictory example: “Nicole had amazing customer service 👏🏾 she was very patient with me which I greatly appreciate, also the valet driver older man was very helpful i love the all around feel of the hotel it was clean, nice, & smelled good 👍🏾 I will definitely be back”.
- Contradictory example: “We had a great time here at the pool very clean and close to everything gave us really good recommendations to eat Rodrigo was our server and he was awesome !!!!”
- Contradictory example: “The hotel and the rooms were impeccably clean, with excellent Wi-Fi throughout the property and a staff that was always friendly and helpful, 5 stars also for the breakfast with a rich buffet.”
- Contradictory example: “The welcome was excellent, the property is clean, smells great, and offers stunning views from the 49th floor.”
Confidence and limitations
Low confidence. The comparison is valid and the finding is supported across 176 businesses and 1325 clustered reviews.
- Platform audiences and review prompts may differ.
- The platform samples use different review or business denominators.
- Market evidence cannot establish the cause of the difference.
- The comparison does not describe every business in the market.
- Contradictory evidence is present and should be checked locally.
- The two comparison sides cover different numbers of businesses.
Methodology
How Reviato Insights measures market signals.
Compare this with your own reviews
Filter recent reviews for cleanliness. Compare the same periods or platforms before changing operations.