Customereye

Kumu Clothing

Apparel & Fashionwww.kumuclothing.co.uk

Review data last updated .

Based on public reviews and response behavior.

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106 reviews over 85 days (about 38 per month). Busiest month: 49% of reviews. Languages: en 100%.

Overall Score

75/100
Short observation window (85 days)
+8.6 vs. last month4.87 ★ average rating · 106 reviews
75/100 from 106 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Apparel & Fashion average: score 63.5, rating 4.26 stars, reply rate 38.3%, over 2,186 ranked companies · benchmark 12 Oct 2026

Score

74.6

Industry average 63.5

11.1 above average

Rating

4.87

Industry average 4.26

0.61 above average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#486of 2186 ranked in Apparel & Fashion
Top 22% · Top Tierup 320 from last month
#1 (best)#2186 (worst)
#484Peer
#485Peer
#486This company
#487Peer
#488Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

89% of reviews positive, 10% negative

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

Sentiment Balance

Covering October 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)
Hidden

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

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Delivery Shipping
Hidden
Response Speed
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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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