Customereye

Eu Billabong

Apparel & Fashion • United Statesbillabong.fr

Review data last updated .

Based on public reviews and response behavior.

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1,515 days of reviews, with a sparse monthly review flow. Busiest month: 16% of reviews. Languages: de 48%, en 20%, nl 19%.

Overall Score

21/100
1.32 ★ average rating
21/100 from public reviews over 12 months, moderate confidence.

Apparel & Fashion average: score 61.5, rating 4.02 stars, reply rate 35.3%, over 3,006 ranked companies · benchmark 5 Nov 2026

Score

21.2

Industry average 61.5

40.3 below average

Rating

1.32

Industry average 4.02

2.70 below average

Reply rate

—

Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2965of 3006 ranked in Apparel & Fashion
Top 99% · Bottom Tier
#1 (best)#3006 (worst)
#2963Peer
#2964Peer
#2965This company
#2966Peer
#2967Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

7% of reviews positive, 93% negative

7%
positive
  • Positive7%
  • Neutral0%
  • Negative93%

Sentiment Balance

Covering February 2025, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Reviews are mostly in German

Theme Distribution

Share of theme mentions

Delivery Shipping
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Communication
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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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