Customereye

Database Mart

Software & Web Services • United Statesdatabasemart.com

Review data last updated .

Based on public reviews and response behavior.

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275 days of reviews, with a steady monthly review flow. Busiest month: 41% of reviews. Languages: en 86%, es 7%, pt 4%.

Overall Score

74/100
+21.4 vs. last month4.43 ★ average rating
74/100 from public reviews over 9 months, moderate confidence.

Software & Web Services average: score 60.0, rating 4.01 stars, reply rate 35.4%, over 2,439 ranked companies · benchmark 5 Nov 2026

Score

74.4

Industry average 60.0

14.5 above average

Rating

4.43

Industry average 4.01

0.42 above average

Reply rate

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Industry average 35.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#467of 2439 ranked in Software & Web Services
Top 19% · Top Tierup 285 from last month
#1 (best)#2439 (worst)
#465Peer
#466Peer
#467This company
#468Peer
#469Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

84% of reviews positive, 16% negative

84%
positive
  • Positive84%
  • Neutral1%
  • Negative16%

Sentiment Balance

Covering August 2026, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 71% of reviews in this period, with 29% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
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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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