Customereye

TeamBuildr.com

Software & Web Services • United Statesteambuildr.com

Review data last updated .

Based on public reviews and response behavior.

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204 reviews over 1,648 days (about 3.8 per month). Busiest month: 10% of reviews. Languages: en 99%, unknown 2%.

Overall Score

67/100
3.34 ★ average rating · 204 reviews
67/100 from 204 reviews over 30 months, moderate confidence.

Software & Web Services average: score 60.3, rating 4.05 stars, reply rate 35.6%, over 2,326 ranked companies · benchmark 31 Oct 2026

Score

67.0

Industry average 60.3

6.7 above average

Rating

3.34

Industry average 4.05

0.71 below average

Reply rate

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Industry average 35.6%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#838of 2326 ranked in Software & Web Services
Top 36% · Upper Half
#1 (best)#2326 (worst)
#836Peer
#837Peer
#838This company
#839Peer
#840Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

63% of reviews positive, 36% negative

63%
positive
  • Positive63%
  • Neutral1%
  • Negative36%

Sentiment Balance

Covering August 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% 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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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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