Customereye

Havealookshop

General Retail & Marketplaceshavealookshop.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 572 days (about 5.3 per month). Busiest month: 9% of reviews. Languages: en 82%, unknown 11%, fi 2%.

Overall Score

51/100
4.44 ★ average rating · 100 reviews
51/100 from 100 reviews over 17 months, moderate confidence.

General Retail & Marketplaces average: score 64.6, rating 4.29 stars, reply rate 36.9%, over 2,402 ranked companies · benchmark 30 Oct 2026

Score

50.8

Industry average 64.6

13.8 below average

Rating

4.44

Industry average 4.29

0.15 above average

Reply rate

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Industry average 36.9%

not measured

Competitive Performance Rank

Among ranked General Retail & Marketplaces companies

#2007of 2402 ranked in General Retail & Marketplaces
Top 84% · Bottom Tier
#1 (best)#2402 (worst)
#2005Peer
#2006Peer
#2007This company
#2008Peer
#2009Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

73% of reviews positive, 26% negative

73%
positive
  • Positive73%
  • Neutral1%
  • Negative26%

Sentiment Balance

Covering July 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% 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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Product Quality
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Response Speed
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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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