Customereye

Mercury Fiber

Software & Web Servicesmercuryfiber.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 565 days (about 5.4 per month). Busiest month: 13% of reviews. Languages: en 100%.

Overall Score

60/100
+46.7 vs. last month4.08 ★ average rating · 100 reviews
60/100 from 100 reviews over 15 months, moderate confidence.

Software & Web Services average: score 61.3, rating 4.11 stars, reply rate 34.4%, over 3,244 ranked companies · benchmark 23 Oct 2026

Score

60.0

Industry average 61.3

1.3 below average

Rating

4.08

Industry average 4.11

0.03 below average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1725of 3244 ranked in Software & Web Services
Top 53% · Mid Packup 315 from last month
#1 (best)#3244 (worst)
#1723Peer
#1724Peer
#1725This company
#1726Peer
#1727Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

70% of reviews positive, 30% negative

70%
positive
  • Positive70%
  • Neutral0%
  • Negative30%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% 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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Product Quality
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Response Speed
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Loyalty
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Pricing
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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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