Customereye

xoldn.com

Apparel & Fashionxoldn.com

Review data last updated .

Based on public reviews and response behavior.

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1,999 days of reviews, with a sparse monthly review flow. Busiest month: 35% of reviews. Languages: en 100%.

Overall Score

47/100
−10.0 vs. last month2.68 ★ average rating
47/100 from public reviews over 5 months, moderate confidence.

Apparel & Fashion average: score 56.3, rating 3.64 stars, reply rate 31.5%, over 3,581 ranked companies · benchmark 9 Nov 2026

Score

46.7

Industry average 56.3

9.6 below average

Rating

2.68

Industry average 3.64

0.96 below average

Reply rate

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Industry average 31.5%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2582of 3581 ranked in Apparel & Fashion
Top 72% · Mid Packdown 17 from last month
#1 (best)#3581 (worst)
#2580Peer
#2581Peer
#2582This company
#2583Peer
#2584Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

52% of reviews positive, 48% negative

52%
positive
  • Positive52%
  • Neutral0%
  • Negative48%

Sentiment Balance

Covering October 2020, 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 100% 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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Customer Support
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Product Quality
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Loyalty
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Value For Money
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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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