Customereye

Current

Media & Content • United Statescurrent.us

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 1,998 days (about 9.1 per month). Busiest month: 29% of reviews. Languages: en 100%, de 0%, es 0%.

Overall Score

47/100
−6.2 vs. last month3.75 ★ average rating · 600 reviews
47/100 from 600 reviews over 12 months, high confidence.

Media & Content average: score 59.1, rating 3.91 stars, reply rate 29.8%, over 828 ranked companies · benchmark 2 Nov 2026

Score

47.2

Industry average 59.1

11.9 below average

Rating

3.75

Industry average 3.91

0.16 below average

Reply rate

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Industry average 29.8%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#632of 828 ranked in Media & Content
Top 76% · Bottom Tierdown 14 from last month
#1 (best)#828 (worst)
#630Peer
#631Peer
#632This company
#633Peer
#634Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

63% of reviews positive, 35% negative

63%
positive
  • Positive63%
  • Neutral3%
  • Negative35%

Sentiment Balance

Covering August 2026 — 131 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 55% of reviews in this period, with 43% negative and 2% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Pricing
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Product Quality
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Customer Support
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Loyalty
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Onboarding
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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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