Customereye

White Stuff

Apparel & Fashionwww.whitestuff.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 21 days (about 290 per month). Busiest month: 86% of reviews — one month dominates this sample. Languages: en 100%, de 1%.

Overall Score

73/100
Short observation window (21 days)
−9.5 vs. last month4.66 ★ average rating · 200 reviews
73/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 86% of the reviews.

Apparel & Fashion average: score 56.7, rating 4.08 stars, reply rate 38.6%, over 594 ranked companies · benchmark 21 Sept 2026

Score

73.0

Industry average 56.7

16.3 above average

Rating

4.66

Industry average 4.08

0.58 above average

Reply rate

Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#62of 594 ranked in Apparel & Fashion
Top 10% · Top Tier
#1 (best)#594 (worst)
#60Peer
#61Peer
#62This company
#63Peer
#64Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

88% of reviews positive, 12% negative

88%
positive
  • Positive88%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering September 2026 — 172 reviews, not the company's full review history.

positive
  • Positive
  • Neutral
  • Negative

Takeaway: Positive sentiment accounts for 87% of reviews in this period, with 13% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

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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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