Customereye

Amazon

General Retail & Marketplacesanazon.co.uk

Review data last updated .

Based on public reviews and response behavior.

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74 reviews over 2,763 days (about 0.8 per month). Busiest month: 7% of reviews. Languages: en 96%, es 1%, fr 1%.

Overall Score

41/100
1.74 ★ average rating · 74 reviews
41/100 from 74 reviews over 6 months, limited confidence.

General Retail & Marketplaces average: score 63.5, rating 4.21 stars, reply rate 35.0%, over 3,192 ranked companies · benchmark 22 Oct 2026

Score

41.0

Industry average 63.5

22.5 below average

Rating

1.74

Industry average 4.21

2.47 below average

Reply rate

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Industry average 35.0%

not measured

Competitive Performance Rank

Among ranked General Retail & Marketplaces companies

#2928of 3192 ranked in General Retail & Marketplaces
Top 92% · Bottom Tier
#1 (best)#3192 (worst)
#2926Peer
#2927Peer
#2928This company
#2929Peer
#2930Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

34% of reviews positive, 66% negative

34%
positive
  • Positive34%
  • Neutral0%
  • Negative66%

Sentiment Balance

Covering May 2024 — 3 reviews, not the company's full review history.

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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

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Customer Support
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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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