Customereye

Modesmethod

Apparel & Fashionwww.modesmethod.com

Review data last updated .

Based on public reviews and response behavior.

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85 reviews over 137 days (about 19 per month). Busiest month: 31% of reviews. Languages: en 95%, de 4%, es 1%.

Overall Score

58/100
Short observation window (137 days)
+17.7 vs. last month3.48 ★ average rating · 85 reviews
58/100 from 85 reviews over 5 months, limited confidence. trend not shown: window under six months.

Apparel & Fashion average: score 64.0, rating 4.25 stars, reply rate 36.5%, over 3,049 ranked companies · benchmark 18 Oct 2026

Score

57.7

Industry average 64.0

6.3 below average

Rating

3.48

Industry average 4.25

0.77 below average

Reply rate

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Industry average 36.5%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2063of 3049 ranked in Apparel & Fashion
Top 68% · Mid Packup 1027 from last month
#1 (best)#3049 (worst)
#2061Peer
#2062Peer
#2063This company
#2064Peer
#2065Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

53% of reviews positive, 46% negative

53%
positive
  • Positive53%
  • Neutral1%
  • Negative46%

Sentiment Balance

Covering October 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 60% of reviews in this period, with 40% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 5 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Pricing
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Response Speed
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Customer Support
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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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