Customereye

Al Layth

Apparel & Fashion • United Kingdomal-layth.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,258 days (about 2.4 per month). Busiest month: 18% of reviews. Languages: en 99%, ar 1%.

Overall Score

63/100
−25.0 vs. last month4.70 ★ average rating · 100 reviews
63/100 from 100 reviews over 12 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

62.6

Industry average 64.5

1.9 below average

Rating

4.70

Industry average 4.25

0.45 above average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1281of 2361 ranked in Apparel & Fashion
Top 54% · Mid Packdown 193 from last month
#1 (best)#2361 (worst)
#1279Peer
#1280Peer
#1281This company
#1282Peer
#1283Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

89% of reviews positive, 10% negative

89%
positive
  • Positive89%
  • Neutral1%
  • Negative10%

Sentiment Balance

Covering March 2025 — 8 reviews, 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

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Customer Support
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Delivery Shipping
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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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