Customereye

www.onhotels.com

Travel & Hospitality • United Kingdomwww.onhotels.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 3,813 days (about 0.8 per month). Busiest month: 44% of reviews. Languages: en 96%, de 2%, iw 1%.

Overall Score

75/100
+75.0 vs. last month4.21 ★ average rating · 100 reviews
75/100 from 100 reviews over 5 months, moderate confidence.

Travel & Hospitality average: score 64.0, rating 4.07 stars, reply rate 42.8%, over 695 ranked companies · benchmark 2 Nov 2026

Score

74.9

Industry average 64.0

10.9 above average

Rating

4.21

Industry average 4.07

0.14 above average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#217of 695 ranked in Travel & Hospitality
Top 31% · Upper Halfup 8 from last month
#1 (best)#695 (worst)
#215Peer
#216Peer
#217This company
#218Peer
#219Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

77% of reviews positive, 24% negative

77%
positive
  • Positive77%
  • Neutral0%
  • Negative24%

Sentiment Balance

Covering May 2016 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Pricing
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Loyalty
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Customer Support
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Communication
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Delivery Shipping
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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