Customereye

Overflow Cafe

Professional Servicesoverflowcafe.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,770 days (about 1.1 per month). Busiest month: 10% of reviews. Languages: en 97%, de 2%, sk 1%.

Overall Score

65/100
4.49 ★ average rating · 100 reviews
65/100 from 100 reviews over 15 months, moderate confidence.

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

Score

65.1

Industry average 66.2

1.1 below average

Rating

4.49

Industry average 4.38

0.11 above average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#774of 1436 ranked in Professional Services
Top 54% · Mid Pack
#1 (best)#1436 (worst)
#772Peer
#773Peer
#774This company
#775Peer
#776Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering April 2022 — 8 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 88% of reviews in this period, with 13% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

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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