Customereye

Duluth Trading

Apparel & Fashion • United Statesduluthtrading.com

Review data last updated .

Based on public reviews and response behavior.

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668 days of reviews, with a sparse monthly review flow. Busiest month: 11% of reviews. Languages: en 100%.

Overall Score

30/100
−46.7 vs. last month1.90 ★ average rating
30/100 from public reviews over 18 months, moderate confidence.

Apparel & Fashion average: score 61.5, rating 4.02 stars, reply rate 35.3%, over 3,006 ranked companies · benchmark 5 Nov 2026

Score

30.4

Industry average 61.5

31.1 below average

Rating

1.90

Industry average 4.02

2.12 below average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2871of 3006 ranked in Apparel & Fashion
Top 96% · Bottom Tierup 365 from last month
#1 (best)#3006 (worst)
#2869Peer
#2870Peer
#2871This company
#2872Peer
#2873Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

38% of reviews positive, 61% negative

38%
positive
  • Positive38%
  • Neutral1%
  • Negative61%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Loyalty
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Delivery Shipping
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Customer Support
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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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