Customereye

Getbritwear

Apparel & Fashiongetbritwear.com

Review data last updated .

Based on public reviews and response behavior.

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159 reviews over 81 days (about 60 per month). Busiest month: 39% of reviews. Languages: en 79%, de 8%, fr 6%.

Overall Score

47/100
Short observation window (81 days)
+13.5 vs. last month3.77 ★ average rating · 159 reviews
47/100 from 159 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Apparel & Fashion average: score 63.4, rating 4.26 stars, reply rate 38.2%, over 2,170 ranked companies · benchmark 11 Oct 2026

Score

46.8

Industry average 63.4

16.6 below average

Rating

3.77

Industry average 4.26

0.49 below average

Reply rate

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Industry average 38.2%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1923of 2170 ranked in Apparel & Fashion
Top 89% · Bottom Tierup 836 from last month
#1 (best)#2170 (worst)
#1921Peer
#1922Peer
#1923This company
#1924Peer
#1925Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

61% of reviews positive, 38% negative

61%
positive
  • Positive61%
  • Neutral2%
  • Negative38%

Sentiment Balance

Covering October 2026 — 12 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)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Response Speed
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Pricing
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Loyalty
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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