Customereye

Dealmachine

Software & Web Servicesdealmachine.com

Review data last updated .

Based on public reviews and response behavior.

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67 reviews over 3,883 days (about 0.5 per month). Busiest month: 43% of reviews. Languages: en 100%.

Overall Score

55/100
−7.4 vs. last month4.46 ★ average rating · 67 reviews
55/100 from 67 reviews over 4 months, limited confidence.

Software & Web Services average: score 60.7, rating 4.06 stars, reply rate 34.1%, over 3,306 ranked companies · benchmark 22 Oct 2026

Score

54.9

Industry average 60.7

5.8 below average

Rating

4.46

Industry average 4.06

0.40 above average

Reply rate

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Industry average 34.1%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2212of 3306 ranked in Software & Web Services
Top 67% · Mid Packdown 70 from last month
#1 (best)#3306 (worst)
#2210Peer
#2211Peer
#2212This company
#2213Peer
#2214Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

87% of reviews positive, 13% negative

87%
positive
  • Positive87%
  • Neutral0%
  • Negative13%

Sentiment Balance

Covering February 2025 — 7 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 86% of reviews in this period, with 14% 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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Loyalty
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Pricing
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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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