Customereye

USC

Apparel & Fashionwww.usc.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 342 days (about 18 per month). Busiest month: 22% of reviews. Languages: en 98%, fr 2%.

Overall Score

50/100
−20.8 vs. last month3.08 ★ average rating · 200 reviews
50/100 from 200 reviews over 11 months, moderate confidence.

Apparel & Fashion average: score 64.9, rating 4.29 stars, reply rate 36.9%, over 3,001 ranked companies · benchmark 29 Oct 2026

Score

49.9

Industry average 64.9

15.0 below average

Rating

3.08

Industry average 4.29

1.21 below average

Reply rate

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Industry average 36.9%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2612of 3001 ranked in Apparel & Fashion
Top 87% · Bottom Tierup 478 from last month
#1 (best)#3001 (worst)
#2610Peer
#2611Peer
#2612This company
#2613Peer
#2614Peer

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 — 8 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 63% of reviews in this period, with 38% 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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Product Quality
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Pricing
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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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