Customereye

Kings Road Merch

Apparel & Fashionkingsroadmerch.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 856 days (about 3.6 per month). Busiest month: 15% of reviews. Languages: en 86%, de 12%, es 1%.

Overall Score

33/100
−11.1 vs. last month2.77 ★ average rating · 100 reviews
33/100 from 100 reviews over 13 months, moderate confidence.

Apparel & Fashion average: score 62.7, rating 4.12 stars, reply rate 37.2%, over 2,645 ranked companies · benchmark 1 Nov 2026

Score

32.9

Industry average 62.7

29.8 below average

Rating

2.77

Industry average 4.12

1.35 below average

Reply rate

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Industry average 37.2%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2521of 2645 ranked in Apparel & Fashion
Top 95% · Bottom Tierup 972 from last month
#1 (best)#2645 (worst)
#2519Peer
#2520Peer
#2521This company
#2522Peer
#2523Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

44% of reviews positive, 56% negative

44%
positive
  • Positive44%
  • Neutral0%
  • Negative56%

Sentiment Balance

Covering October 2026 — 6 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Customer Support
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Communication
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Product Quality
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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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