Customereye

SugarCRM

Software & Web Servicessugarcrm.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,521 days (about 1.2 per month). Busiest month: 53% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

70/100
−16.6 vs. last month4.55 ★ average rating · 100 reviews
70/100 from 100 reviews over 4 months, limited confidence. one month holds 53% of the reviews.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,145 ranked companies · benchmark 24 Oct 2026

Score

70.1

Industry average 61.8

8.3 above average

Rating

4.55

Industry average 4.15

0.40 above average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#1025of 3145 ranked in Software & Web Services
Top 33% · Upper Halfdown 28 from last month
#1 (best)#3145 (worst)
#1023Peer
#1024Peer
#1025This company
#1026Peer
#1027Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

83% of reviews positive, 16% negative

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

Sentiment Balance

Covering March 2020 — 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)
HiddenHidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
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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