HotelEYE Ratings (September 2025)
This page breaks down HotelEYE ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand HotelEYE’s overall reputation. This data-driven overview will show you exactly how HotelEYE is rated - including how it compares to competitors.
HotelEYE's Overall Rating Summary
- Average Rating:4.6/5
- Total Reviews:5 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
G2
CapterraWhat is HotelEYE?
HotelEYE is a real-time hotel monitoring platform designed to improve guest satisfaction and achieve operational excellence through apps for both guests and staff. Key features include concierge services, maintenance, housekeeping, room service, hotel information, and the ability to explore nearby places for guests, while staff can manage open and closed issues, housekeeping checklists, hotel offers, and room status. The platform offers a cloud solution with free online staff training, software updates for life, and 24-hour support, with pricing starting at €350 for installation and 1€/room/month with a 2-year contract.
🤔 HotelEYE vs Competitors: How Do Ratings Compare?
Check out HotelEYE AlternativesFrequently Asked Questions
How trustworthy is HotelEYE?
According to Capterra and G2 review sites HotelEYE holds ratings of 4.5/5 and 5/5 respectively from 5 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is HotelEYE rated?
HotelEYE has an average star rating of 4.6 out of 5 stars based on average of 5 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from HotelEYE public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for HotelEYE is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.