Customereye

OnlineBookClub

Media & Content • United Stateswww.onlinebookclub.org

Review data last updated .

Based on public reviews and response behavior.

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103 reviews over 1,318 days (about 2.4 per month). Busiest month: 21% of reviews. Languages: en 92%, unknown 6%, fr 1%.

Overall Score

54/100
+22.2 vs. last month4.39 ★ average rating · 103 reviews
54/100 from 103 reviews over 7 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

54.0

Industry average 60.7

6.7 below average

Rating

4.39

Industry average 4.00

0.39 above average

Reply rate

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Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#782of 1114 ranked in Media & Content
Top 70% · Mid Packup 159 from last month
#1 (best)#1114 (worst)
#780Peer
#781Peer
#782This company
#783Peer
#784Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

81% of reviews positive, 19% negative

81%
positive
  • Positive81%
  • Neutral0%
  • Negative19%

Sentiment Balance

Covering August 2026 — 9 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 89% of reviews in this period, with 11% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Problem Resolution
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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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