Customereye

Saint Kaizen

Apparel & Fashionsaintkaizen.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 156 days (about 39 per month). Busiest month: 32% of reviews. Languages: en 99%, de 1%, fr 1%.

Overall Score

69/100
Short observation window (156 days)
−7.5 vs. last month4.45 ★ average rating · 200 reviews
69/100 from 200 reviews over 6 months, moderate confidence. trend not shown: window under six months.

Apparel & Fashion average: score 63.4, rating 4.26 stars, reply rate 38.2%, over 2,170 ranked companies · benchmark 11 Oct 2026

Score

68.9

Industry average 63.4

5.5 above average

Rating

4.45

Industry average 4.26

0.19 above average

Reply rate

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Industry average 38.2%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#855of 2170 ranked in Apparel & Fashion
Top 39% · Upper Halfdown 168 from last month
#1 (best)#2170 (worst)
#853Peer
#854Peer
#855This company
#856Peer
#857Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

83% of reviews positive, 15% negative

83%
positive
  • Positive83%
  • Neutral3%
  • Negative15%

Sentiment Balance

Covering September 2026 — 64 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 81% of reviews in this period, with 16% negative and 3% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Response Speed
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Communication
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Problem Resolution
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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