Customereye

Universe

Entertainment & Events • Canadauniverse.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,218 days (about 1.4 per month). Busiest month: 7% of reviews. Languages: en 95%, nl 3%, pl 2%.

Overall Score

20/100
1.84 ★ average rating · 100 reviews
20/100 from 100 reviews over 14 months, moderate confidence.

Entertainment & Events average: score 62.8, rating 4.11 stars, reply rate 34.0%, over 1,109 ranked companies · benchmark 30 Oct 2026

Score

20.3

Industry average 62.8

42.5 below average

Rating

1.84

Industry average 4.11

2.27 below average

Reply rate

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Industry average 34.0%

not measured

Competitive Performance Rank

Among ranked Entertainment & Events companies

#1083of 1109 ranked in Entertainment & Events
Top 98% · Bottom Tier
#1 (best)#1109 (worst)
#1081Peer
#1082Peer
#1083This company
#1084Peer
#1085Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

22% of reviews positive, 77% negative

22%
positive
  • Positive22%
  • Neutral1%
  • Negative77%

Sentiment Balance

Covering September 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Communication
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Pricing
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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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