Customereye

Rsorder

Gaming & Esports • United Statesrsorder.com

Review data last updated .

Based on public reviews and response behavior.

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1,000 reviews over 319 days (about 95 per month). Busiest month: 22% of reviews. Languages: en 89%, unknown 9%, ca 0%.

Overall Score

55/100
−7.8 vs. last month4.93 ★ average rating · 1,000 reviews
55/100 from 1,000 reviews over 12 months, high confidence.

Gaming & Esports average: score 57.8, rating 4.00 stars, reply rate 26.4%, over 1,210 ranked companies · benchmark 22 Oct 2026

Score

54.9

Industry average 57.8

2.9 below average

Rating

4.93

Industry average 4.00

0.93 above average

Reply rate

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Industry average 26.4%

not measured

Competitive Performance Rank

Among ranked Gaming & Esports companies

#738of 1210 ranked in Gaming & Esports
Top 61% · Mid Packdown 45 from last month
#1 (best)#1210 (worst)
#736Peer
#737Peer
#738This company
#739Peer
#740Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

88% of reviews positive, 11% negative

88%
positive
  • Positive88%
  • Neutral2%
  • Negative11%

Sentiment Balance

Covering July 2026 — 11 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 82% of reviews in this period, with 18% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Response Speed
Hidden
Customer Support
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Product Quality
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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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