Customereye

BuyBoosting

Gaming & Esportsbuyboosting.com

Review data last updated .

Based on public reviews and response behavior.

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150 reviews over 586 days (about 7.8 per month). Busiest month: 11% of reviews. Languages: en 93%, de 3%, es 2%.

Overall Score

57/100
+35.0 vs. last month4.89 ★ average rating · 150 reviews
57/100 from 150 reviews over 15 months, moderate 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

56.6

Industry average 57.8

1.2 below average

Rating

4.89

Industry average 4.00

0.89 above average

Reply rate

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Industry average 26.4%

not measured

Competitive Performance Rank

Among ranked Gaming & Esports companies

#682of 1210 ranked in Gaming & Esports
Top 56% · Mid Packup 262 from last month
#1 (best)#1210 (worst)
#680Peer
#681Peer
#682This company
#683Peer
#684Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

87% of reviews positive, 11% negative

87%
positive
  • Positive87%
  • Neutral3%
  • Negative11%

Sentiment Balance

Covering September 2026 — 10 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 10% negative and 10% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Response Speed
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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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