Customereye

TASCHEN

Media & Content • United Kingdomtaschen.com

Review data last updated .

Based on public reviews and response behavior.

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187 days of reviews, with a steady monthly review flow. Busiest month: 50% of reviews. Languages: en 74%, es 6%, fr 6%.

Overall Score

61/100
+12.5 vs. last month3.69 ★ average rating
61/100 from public reviews over 7 months, limited confidence. one month holds 50% of the reviews.

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

Score

60.6

Industry average 59.4

1.2 above average

Rating

3.69

Industry average 3.93

0.24 below average

Reply rate

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Industry average 29.9%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#396of 809 ranked in Media & Content
Top 49% · Upper Halfup 161 from last month
#1 (best)#809 (worst)
#394Peer
#395Peer
#396This company
#397Peer
#398Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

60% of reviews positive, 37% negative

60%
positive
  • Positive60%
  • Neutral2%
  • Negative37%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 66% of reviews in this period, with 31% negative and 3% neutral.

Sentiment Trend Over Time

Review activity
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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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Loyalty
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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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