Customereye

E-Z UP

Professional Services • United Statesezup.com

Review data last updated .

Based on public reviews and response behavior.

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997 reviews over 1,196 days (about 25 per month). Busiest month: 13% of reviews. Languages: en 96%, unknown 3%, ro 1%.

Overall Score

66/100
+1.8 vs. last month4.16 ★ average rating · 997 reviews
66/100 from 997 reviews over 17 months, high confidence.

Professional Services average: score 66.2, rating 4.38 stars, reply rate 42.8%, over 1,436 ranked companies · benchmark 23 Oct 2026

Score

65.7

Industry average 66.2

0.5 below average

Rating

4.16

Industry average 4.38

0.22 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#754of 1436 ranked in Professional Services
Top 53% · Mid Packup 12 from last month
#1 (best)#1436 (worst)
#752Peer
#753Peer
#754This company
#755Peer
#756Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

71% of reviews positive, 28% negative

71%
positive
  • Positive71%
  • Neutral1%
  • Negative28%

Sentiment Balance

Covering July 2024 — 43 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 74% of reviews in this period, with 16% negative and 9% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Delivery Shipping
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Customer Support
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Communication
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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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