Customereye

GamsGo

Professional Services • United Statesgamsgo.com

Review data last updated .

Based on public reviews and response behavior.

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986 reviews over 79 days (about 380 per month). Busiest month: 37% of reviews. Languages: en 35%, es 15%, unknown 14%.

Overall Score

64/100
Short observation window (79 days)
3.91 ★ average rating · 986 reviews
64/100 from 986 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Professional Services average: score 66.2, rating 4.38 stars, reply rate 42.8%, over 1,436 ranked companies · benchmark 23 Oct 2026

Score

64.3

Industry average 66.2

1.9 below average

Rating

3.91

Industry average 4.38

0.47 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#806of 1436 ranked in Professional Services
Top 56% · Mid Packdown 15 from last month
#1 (best)#1436 (worst)
#804Peer
#805Peer
#806This company
#807Peer
#808Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

36% of reviews positive, 63% negative

36%
positive
  • Positive36%
  • Neutral0%
  • Negative63%

Sentiment Balance

Covering July 2026 — 151 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 38% of reviews in this period, with 62% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Problem Resolution
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Response Speed
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Pricing
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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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