Customereye

Eurolines

Airlines & Aviation • United Kingdomflixbus.com

Review data last updated .

Based on public reviews and response behavior.

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2,664 days of reviews, with a sparse monthly review flow. Busiest month: 14% of reviews. Languages: en 54%, fr 23%, de 22%.

Overall Score

24/100
+5.0 vs. last month1.39 ★ average rating
24/100 from public reviews over 12 months, moderate confidence.

Airlines & Aviation average: score 34.2, rating 2.17 stars, reply rate 9.2%, over 77 ranked companies · benchmark 5 Nov 2026

Score

23.6

Industry average 34.2

10.6 below average

Rating

1.39

Industry average 2.17

0.78 below average

Reply rate

—

Industry average 9.2%

not measured

Competitive Performance Rank

Among ranked Airlines & Aviation companies

#61of 77 ranked in Airlines & Aviation
Top 79% · Bottom Tierup 4 from last month
#1 (best)#77 (worst)
#59Peer
#60Peer
#61This company
#62Peer
#63Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

12% of reviews positive, 88% negative

12%
positive
  • Positive12%
  • Neutral0%
  • Negative88%

Sentiment Balance

Covering February 2020, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 25% of reviews in this period, with 75% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Loyalty
Hidden
Response Speed
Hidden
Customer Support
Hidden
HiddenHidden

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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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