Customereye

RatePunk

Travel & Hospitality • United Statesratepunk.com

Review data last updated .

Based on public reviews and response behavior.

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626 reviews over 434 days (about 44 per month). Busiest month: 36% of reviews. Languages: en 98%, unknown 1%, es 0%.

Overall Score

61/100
−23.7 vs. last month3.51 ★ average rating · 626 reviews
61/100 from 626 reviews over 16 months, high confidence.

Travel & Hospitality average: score 64.2, rating 4.08 stars, reply rate 42.8%, over 689 ranked companies · benchmark 30 Oct 2026

Score

60.8

Industry average 64.2

3.4 below average

Rating

3.51

Industry average 4.08

0.57 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#428of 689 ranked in Travel & Hospitality
Top 62% · Mid Packup 17 from last month
#1 (best)#689 (worst)
#426Peer
#427Peer
#428This company
#429Peer
#430Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

58% of reviews positive, 40% negative

58%
positive
  • Positive58%
  • Neutral1%
  • Negative40%

Sentiment Balance

Covering September 2026 — 11 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 46% of reviews in this period, with 55% 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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Product Quality
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Onboarding
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Customer Support
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Loyalty
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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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