Customereye

Aliveanddirty

Apparel & Fashion • United Kingdomaliveanddirty.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,346 days (about 2.3 per month). Busiest month: 8% of reviews. Languages: en 100%.

Overall Score

73/100
+50.0 vs. last month4.62 ★ average rating · 100 reviews
73/100 from 100 reviews over 19 months, moderate confidence.

Apparel & Fashion average: score 64.5, rating 4.25 stars, reply rate 38.3%, over 2,361 ranked companies · benchmark 30 Oct 2026

Score

72.5

Industry average 64.5

8.0 above average

Rating

4.62

Industry average 4.25

0.37 above average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#747of 2361 ranked in Apparel & Fashion
Top 32% · Upper Halfup 913 from last month
#1 (best)#2361 (worst)
#745Peer
#746Peer
#747This company
#748Peer
#749Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

84% of reviews positive, 16% negative

84%
positive
  • Positive84%
  • Neutral0%
  • Negative16%

Sentiment Balance

Covering June 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Delivery Shipping
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Response Speed
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Product Quality
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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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