Customereye

Aternos

Gaming & Esports • United Statesaternos.org

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 547 days (about 5.6 per month). Busiest month: 10% of reviews. Languages: en 60%, pl 11%, de 8%.

Overall Score

34/100
+83.3 vs. last month2.55 ★ average rating · 100 reviews
34/100 from 100 reviews over 15 months, moderate confidence.

Gaming & Esports average: score 59.9, rating 4.24 stars, reply rate 26.9%, over 816 ranked companies · benchmark 30 Oct 2026

Score

34.3

Industry average 59.9

25.6 below average

Rating

2.55

Industry average 4.24

1.69 below average

Reply rate

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Industry average 26.9%

not measured

Competitive Performance Rank

Among ranked Gaming & Esports companies

#770of 816 ranked in Gaming & Esports
Top 94% · Bottom Tierup 299 from last month
#1 (best)#816 (worst)
#768Peer
#769Peer
#770This company
#771Peer
#772Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

47% of reviews positive, 52% negative

47%
positive
  • Positive47%
  • Neutral1%
  • Negative52%

Sentiment Balance

Covering July 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Loyalty
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Problem Resolution
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Customer Support
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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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