Customereye

Softwarekeep

Software & Web Services • United Statessoftwarekeep.com

Review data last updated .

Based on public reviews and response behavior.

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999 reviews over 1,730 days (about 18 per month). Busiest month: 7% of reviews. Languages: en 96%, unknown 2%, af 0%.

Overall Score

56/100
4.83 ★ average rating · 999 reviews
56/100 from 999 reviews over 43 months, high confidence.

Software & Web Services average: score 60.8, rating 4.09 stars, reply rate 36.0%, over 2,242 ranked companies · benchmark 30 Oct 2026

Score

55.7

Industry average 60.8

5.1 below average

Rating

4.83

Industry average 4.09

0.74 above average

Reply rate

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Industry average 36.0%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1419of 2242 ranked in Software & Web Services
Top 63% · Mid Packdown 11 from last month
#1 (best)#2242 (worst)
#1417Peer
#1418Peer
#1419This company
#1420Peer
#1421Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

83% of reviews positive, 16% negative

83%
positive
  • Positive83%
  • Neutral1%
  • Negative16%

Sentiment Balance

Covering March 2025 — 3 reviews, not the company's full review history.

—
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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Problem Resolution
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Response Speed
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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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