Customereye

magazine.co.uk

Media & Content • United Kingdommagazine.co.uk

Review data last updated .

Based on public reviews and response behavior.

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351 days of reviews, with a steady monthly review flow. Busiest month: 16% of reviews. Languages: en 100%.

Overall Score

59/100
+4.1 vs. last month4.02 ★ average rating
59/100 from public reviews over 12 months, moderate confidence.

Media & Content average: score 59.4, rating 3.93 stars, reply rate 29.9%, over 809 ranked companies · benchmark 5 Nov 2026

Score

59.4

Industry average 59.4

in line with average

Rating

4.02

Industry average 3.93

0.09 above average

Reply rate

—

Industry average 29.9%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#422of 809 ranked in Media & Content
Top 52% · Mid Packup 127 from last month
#1 (best)#809 (worst)
#420Peer
#421Peer
#422This company
#423Peer
#424Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

65% of reviews positive, 34% negative

65%
positive
  • Positive65%
  • Neutral1%
  • Negative34%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Onboarding
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Delivery Shipping
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Product Quality
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Customer Support
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Pricing
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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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