Customereye

Evolve

Travel & Hospitality • United Statesevolve.com

Review data last updated .

Based on public reviews and response behavior.

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241 reviews over 1,073 days (about 6.8 per month). Busiest month: 19% of reviews. Languages: en 98%, unknown 3%.

Overall Score

72/100
−10.0 vs. last month3.38 ★ average rating · 241 reviews
72/100 from 241 reviews over 13 months, moderate confidence.

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

Score

71.7

Industry average 64.2

7.5 above average

Rating

3.38

Industry average 4.08

0.70 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#282of 689 ranked in Travel & Hospitality
Top 41% · Upper Halfdown 68 from last month
#1 (best)#689 (worst)
#280Peer
#281Peer
#282This company
#283Peer
#284Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

63% of reviews positive, 36% negative

63%
positive
  • Positive63%
  • Neutral2%
  • Negative36%

Sentiment Balance

Covering August 2026 — 42 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 60% of reviews in this period, with 38% negative and 2% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Loyalty
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Customer Support
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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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