Customereye

BLS International

Travel & Hospitality • United Statesblsspainvisa.com

Review data last updated .

Based on public reviews and response behavior.

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145 reviews over 358 days (about 12 per month). Busiest month: 15% of reviews. Languages: en 93%, es 3%, unknown 3%.

Overall Score

34/100
−8.3 vs. last month1.72 ★ average rating · 145 reviews
34/100 from 145 reviews over 13 months, moderate confidence.

Travel & Hospitality average: score 64.1, rating 4.08 stars, reply rate 42.7%, over 693 ranked companies · benchmark 31 Oct 2026

Score

33.8

Industry average 64.1

30.3 below average

Rating

1.72

Industry average 4.08

2.36 below average

Reply rate

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Industry average 42.7%

not measured

Competitive Performance Rank

Among ranked Travel & Hospitality companies

#640of 693 ranked in Travel & Hospitality
Top 92% · Bottom Tierdown 40 from last month
#1 (best)#693 (worst)
#638Peer
#639Peer
#640This company
#641Peer
#642Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

22% of reviews positive, 79% negative

22%
positive
  • Positive22%
  • Neutral0%
  • Negative79%

Sentiment Balance

Covering August 2026 — 6 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 17% of reviews in this period, with 83% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Pricing
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Product Quality
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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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