Customereye

MARAME

Apparel & Fashion • United Kingdommarame.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 372 days (about 16 per month). Busiest month: 18% of reviews. Languages: en 100%, de 1%.

Overall Score

77/100
−14.3 vs. last month4.88 ★ average rating · 200 reviews
77/100 from 200 reviews over 13 months, moderate confidence.

Apparel & Fashion average: score 64.5, rating 4.25 stars, reply rate 38.3%, over 2,361 ranked companies · benchmark 30 Oct 2026

Score

76.9

Industry average 64.5

12.4 above average

Rating

4.88

Industry average 4.25

0.63 above average

Reply rate

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Industry average 38.3%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#448of 2361 ranked in Apparel & Fashion
Top 19% · Top Tierdown 277 from last month
#1 (best)#2361 (worst)
#446Peer
#447Peer
#448This company
#449Peer
#450Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

97% of reviews positive, 4% negative

97%
positive
  • Positive97%
  • Neutral0%
  • Negative4%

Sentiment Balance

Covering September 2026 — 7 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 86% of reviews in this period, with 14% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Loyalty
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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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