Customereye

Borealluxe

Apparel & Fashion • Canadaborealluxe.com

Review data last updated .

Based on public reviews and response behavior.

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145 reviews over 262 days (about 17 per month). Busiest month: 46% of reviews. Languages: en 97%, nl 2%, fr 1%.

Overall Score

48/100
−41.7 vs. last month3.87 ★ average rating · 145 reviews
48/100 from 145 reviews over 8 months, moderate confidence.

Apparel & Fashion average: score 64.5, rating 4.25 stars, reply rate 38.3%, over 2,361 ranked companies · benchmark 30 Oct 2026

Score

48.4

Industry average 64.5

16.1 below average

Rating

3.87

Industry average 4.25

0.38 below average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2081of 2361 ranked in Apparel & Fashion
Top 88% · Bottom Tierup 723 from last month
#1 (best)#2361 (worst)
#2079Peer
#2080Peer
#2081This company
#2082Peer
#2083Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

73% of reviews positive, 26% negative

73%
positive
  • Positive73%
  • Neutral1%
  • Negative26%

Sentiment Balance

Covering October 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 25% of reviews in this period, with 75% negative and 0% 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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Pricing
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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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