Customereye

K-Way

Apparel & Fashion • United Kingdomwww.k%C2%ADway.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,164 days (about 1.4 per month). Busiest month: 12% of reviews. Languages: fr 60%, en 20%, it 18%.

Overall Score

27/100
−21.3 vs. last month1.62 ★ average rating · 100 reviews
27/100 from 100 reviews over 12 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

26.6

Industry average 61.9

35.3 below average

Rating

1.62

Industry average 4.06

2.44 below average

Reply rate

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Industry average 36.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2714of 2808 ranked in Apparel & Fashion
Top 97% · Bottom Tierdown 62 from last month
#1 (best)#2808 (worst)
#2712Peer
#2713Peer
#2714This company
#2715Peer
#2716Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

22% of reviews positive, 74% negative

22%
positive
  • Positive22%
  • Neutral4%
  • Negative74%

Sentiment Balance

Covering February 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 80% negative and 20% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Reviews are mostly in French

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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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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