Customereye

Racing Post

Media & Contentwww.racingpost.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 693 days (about 4.4 per month). Busiest month: 23% of reviews. Languages: en 100%.

Overall Score

47/100
−27.6 vs. last month2.25 ★ average rating · 100 reviews
47/100 from 100 reviews over 8 months, moderate confidence.

Media & Content average: score 60.7, rating 4.00 stars, reply rate 32.0%, over 1,114 ranked companies · benchmark 22 Oct 2026

Score

47.0

Industry average 60.7

13.7 below average

Rating

2.25

Industry average 4.00

1.75 below average

Reply rate

—

Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#881of 1114 ranked in Media & Content
Top 79% · Bottom Tierup 112 from last month
#1 (best)#1114 (worst)
#879Peer
#880Peer
#881This company
#882Peer
#883Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

43% of reviews positive, 57% negative

43%
positive
  • Positive43%
  • Neutral0%
  • Negative57%

Sentiment Balance

Covering September 2026 — 7 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 29% of reviews in this period, with 71% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
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Product Quality
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Customer Support
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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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