Customereye

Femnilondon

Apparel & Fashion • United Kingdomfemnilondon.co.uk

Review data last updated .

Based on public reviews and response behavior.

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2,114 days of reviews, with a sparse monthly review flow. Busiest month: 19% of reviews. Languages: en 95%, it 3%, de 2%.

Overall Score

42/100
+6.4 vs. last month2.66 ★ average rating
42/100 from public reviews over 13 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

41.5

Industry average 61.3

19.8 below average

Rating

2.66

Industry average 4.02

1.36 below average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2661of 3009 ranked in Apparel & Fashion
Top 88% · Bottom Tierdown 75 from last month
#1 (best)#3009 (worst)
#2659Peer
#2660Peer
#2661This company
#2662Peer
#2663Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

46% of reviews positive, 52% negative

46%
positive
  • Positive46%
  • Neutral2%
  • Negative52%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 14% of reviews in this period, with 86% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Loyalty
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Response Speed
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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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