Customereye

RADIO TIMES

Media & Content • United Kingdomwww.radiotimes.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 218 days (about 28 per month). Busiest month: 27% of reviews. Languages: en 100%.

Overall Score

69/100
−6.9 vs. last month2.95 ★ average rating · 200 reviews
69/100 from 200 reviews over 8 months, moderate confidence.

Media & Content average: score 60.5, rating 4.02 stars, reply rate 31.2%, over 776 ranked companies · benchmark 30 Oct 2026

Score

68.8

Industry average 60.5

8.3 above average

Rating

2.95

Industry average 4.02

1.07 below average

Reply rate

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Industry average 31.2%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#261of 776 ranked in Media & Content
Top 34% · Upper Halfup 108 from last month
#1 (best)#776 (worst)
#259Peer
#260Peer
#261This company
#262Peer
#263Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

50% of reviews positive, 49% negative

50%
positive
  • Positive50%
  • Neutral2%
  • Negative49%

Sentiment Balance

Covering September 2026 — 54 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 56% of reviews in this period, with 44% 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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Value For Money
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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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