Customereye

JoeBrowns.co.uk

Apparel & Fashion • United Kingdomwww.joebrowns.co.uk

Review data last updated .

Based on public reviews and response behavior.

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107 reviews over 348 days (about 9.4 per month). Busiest month: 14% of reviews. Languages: en 100%.

Overall Score

50/100
+2.5 vs. last month2.74 ★ average rating · 107 reviews
50/100 from 107 reviews over 11 months, moderate confidence.

Apparel & Fashion average: score 61.9, rating 4.06 stars, reply rate 36.3%, over 2,808 ranked companies · benchmark 2 Nov 2026

Score

50.2

Industry average 61.9

11.7 below average

Rating

2.74

Industry average 4.06

1.32 below average

Reply rate

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Industry average 36.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2213of 2808 ranked in Apparel & Fashion
Top 79% · Bottom Tierup 860 from last month
#1 (best)#2808 (worst)
#2211Peer
#2212Peer
#2213This company
#2214Peer
#2215Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

47% of reviews positive, 51% negative

47%
positive
  • Positive47%
  • Neutral3%
  • Negative51%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Loyalty
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Product Quality
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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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