Customereye

t-shirtwholesaler.com

Apparel & Fashiont-shirtwholesaler.com

Review data last updated .

Based on public reviews and response behavior.

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3,029 days of reviews, with a sparse monthly review flow. Busiest month: 61% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

66/100
−25.0 vs. last month4.54 ★ average rating
66/100 from public reviews over 6 months, limited confidence. one month holds 61% of the reviews.

Apparel & Fashion average: score 61.3, rating 4.02 stars, reply rate 35.3%, over 3,009 ranked companies · benchmark 4 Nov 2026

Score

66.2

Industry average 61.3

4.9 above average

Rating

4.54

Industry average 4.02

0.52 above average

Reply rate

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Industry average 35.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#1214of 3009 ranked in Apparel & Fashion
Top 40% · Upper Halfdown 55 from last month
#1 (best)#3009 (worst)
#1212Peer
#1213Peer
#1214This company
#1215Peer
#1216Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

78% of reviews positive, 21% negative

78%
positive
  • Positive78%
  • Neutral1%
  • Negative21%

Sentiment Balance

Covering November 2020, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Review activity
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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Delivery Shipping
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Response Speed
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Product Quality
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Customer Support
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Onboarding
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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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