Customereye

Hoteltonight

Travel & Hospitality • United Stateshoteltonight.com

Review data last updated .

Based on public reviews and response behavior.

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4,715 days of reviews, with a sparse monthly review flow. Busiest month: 18% of reviews. Languages: en 93%, de 3%, fr 3%.

Overall Score

45/100
−13.7 vs. last month2.20 ★ average rating
45/100 from public reviews over 18 months, moderate confidence.

Travel & Hospitality average: score 64.8, rating 4.12 stars, reply rate 43.4%, over 663 ranked companies · benchmark 5 Nov 2026

Score

45.4

Industry average 64.8

19.4 below average

Rating

2.20

Industry average 4.12

1.92 below average

Reply rate

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Industry average 43.4%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#566of 663 ranked in Travel & Hospitality
Top 85% · Bottom Tierdown 74 from last month
#1 (best)#663 (worst)
#564Peer
#565Peer
#566This company
#567Peer
#568Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

41% of reviews positive, 58% negative

41%
positive
  • Positive41%
  • Neutral1%
  • Negative58%

Sentiment Balance

Covering August 2026, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 54% of reviews in this period, with 46% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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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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Onboarding
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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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