Customereye

Peaceful Hooligan

Apparel & Fashion • United Kingdompeacefulhooligan.co.uk

Review data last updated .

Based on public reviews and response behavior.

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4,900 days of reviews, with a sparse monthly review flow. Busiest month: 17% of reviews. Languages: en 98%, fr 1%, ru 1%.

Overall Score

62/100
−12.5 vs. last month4.19 ★ average rating
62/100 from public reviews over 8 months, moderate confidence.

Apparel & Fashion average: score 61.3, rating 4.02 stars, reply rate 35.3%, over 3,009 ranked companies · benchmark 4 Nov 2026

Score

62.1

Industry average 61.3

0.8 above average

Rating

4.19

Industry average 4.02

0.17 above average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1431of 3009 ranked in Apparel & Fashion
Top 48% · Upper Halfdown 294 from last month
#1 (best)#3009 (worst)
#1429Peer
#1430Peer
#1431This company
#1432Peer
#1433Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

71% of reviews positive, 29% negative

71%
positive
  • Positive71%
  • Neutral0%
  • Negative29%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Customer Support
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Loyalty
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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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