Customereye

MagicBreaks

Flight & Hotel Booking • United Kingdommagicbreaks.co.uk

Review data last updated .

Based on public reviews and response behavior.

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277 days of reviews, with a steady monthly review flow. Busiest month: 17% of reviews. Languages: en 100%.

Overall Score

72/100
+5.2 vs. last month4.41 ★ average rating
72/100 from public reviews over 10 months, moderate confidence.

Flight & Hotel Booking average: score 69.9, rating 4.45 stars, reply rate 46.6%, over 1,253 ranked companies · benchmark 5 Nov 2026

Score

72.2

Industry average 69.9

2.3 above average

Rating

4.41

Industry average 4.45

0.04 below average

Reply rate

—

Industry average 46.6%

not measured

Competitive Performance Rank

Among ranked Flight & Hotel Booking companies

#621of 1253 ranked in Flight & Hotel Booking
Top 50% · Upper Halfup 125 from last month
#1 (best)#1253 (worst)
#619Peer
#620Peer
#621This company
#622Peer
#623Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

85% of reviews positive, 15% negative

85%
positive
  • Positive85%
  • Neutral1%
  • Negative15%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 77% of reviews in this period, with 23% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Loyalty
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Communication
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Pricing
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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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