Customereye

Fehaute

Apparel & Fashion • United Statesfehaute.com

Review data last updated .

Based on public reviews and response behavior.

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199 reviews over 229 days (about 26 per month). Busiest month: 16% of reviews. Languages: en 93%, it 2%, fr 2%.

Overall Score

68/100
+22.9 vs. last month3.37 ★ average rating · 199 reviews
68/100 from 199 reviews over 8 months, moderate confidence.

Apparel & Fashion average: score 61.9, rating 4.06 stars, reply rate 36.3%, over 2,806 ranked companies · benchmark 3 Nov 2026

Score

68.2

Industry average 61.9

6.3 above average

Rating

3.37

Industry average 4.06

0.69 below average

Reply rate

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Industry average 36.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1079of 2806 ranked in Apparel & Fashion
Top 38% · Upper Halfup 971 from last month
#1 (best)#2806 (worst)
#1077Peer
#1078Peer
#1079This company
#1080Peer
#1081Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

64% of reviews positive, 34% negative

64%
positive
  • Positive64%
  • Neutral2%
  • Negative34%

Sentiment Balance

Covering October 2026 — 17 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 82% of reviews in this period, with 12% negative and 6% neutral.

Sentiment Trend Over Time

Reviews (Count)
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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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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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