Customereye

Live Unlimited

Apparel & Fashionliveunlimitedlondon.com

Review data last updated .

Based on public reviews and response behavior.

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1,014 days of reviews, with a sparse monthly review flow. Busiest month: 9% of reviews. Languages: en 99%, de 1%.

Overall Score

52/100
−10.7 vs. last month4.15 ★ average rating
52/100 from public reviews over 18 months, moderate confidence.

Apparel & Fashion average: score 61.3, rating 4.02 stars, reply rate 35.3%, over 3,009 ranked companies · benchmark 4 Nov 2026

Score

51.9

Industry average 61.3

9.4 below average

Rating

4.15

Industry average 4.02

0.13 above average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2243of 3009 ranked in Apparel & Fashion
Top 75% · Mid Packdown 319 from last month
#1 (best)#3009 (worst)
#2241Peer
#2242Peer
#2243This company
#2244Peer
#2245Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

80% of reviews positive, 18% negative

80%
positive
  • Positive80%
  • Neutral2%
  • Negative18%

Sentiment Balance

Covering August 2026, 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

Review activity
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Loyalty
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Customer Support
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Pricing
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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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