Customereye

Hollywood Mirrors

Home & Living • United Stateswww.hollywoodmirrors.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 1,373 days (about 4.4 per month). Busiest month: 12% of reviews. Languages: en 97%, unknown 2%, es 1%.

Overall Score

69/100
4.25 ★ average rating · 200 reviews
69/100 from 200 reviews over 29 months, moderate confidence.

Home & Living average: score 67.9, rating 4.44 stars, reply rate 45.4%, over 5,448 ranked companies · benchmark 30 Oct 2026

Score

69.2

Industry average 67.9

1.3 above average

Rating

4.25

Industry average 4.44

0.19 below average

Reply rate

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Industry average 45.4%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#2718of 5448 ranked in Home & Living
Top 50% · Upper Half
#1 (best)#5448 (worst)
#2716Peer
#2717Peer
#2718This company
#2719Peer
#2720Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

79% of reviews positive, 21% negative

79%
positive
  • Positive79%
  • Neutral1%
  • Negative21%

Sentiment Balance

Covering August 2026 — 4 reviews, not the company's full review history.

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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

Product Quality
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Delivery Shipping
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Loyalty
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Communication
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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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