Customereye

Pocketmags

Media & Contentpocketmags.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 181 days (about 34 per month). Busiest month: 21% of reviews. Languages: en 93%, it 4%, es 1%.

Overall Score

55/100
+1.4 vs. last month4.89 ★ average rating · 200 reviews
55/100 from 200 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

55.0

Industry average 60.7

5.7 below average

Rating

4.89

Industry average 4.00

0.89 above average

Reply rate

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Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#742of 1114 ranked in Media & Content
Top 67% · Mid Packup 112 from last month
#1 (best)#1114 (worst)
#740Peer
#741Peer
#742This company
#743Peer
#744Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

85% of reviews positive, 14% negative

85%
positive
  • Positive85%
  • Neutral1%
  • Negative14%

Sentiment Balance

Covering September 2026 — 15 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Product Quality
Hidden
Onboarding
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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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