Customereye

Secretlab

Professional Services • United Statessecretlab.co

Review data last updated .

Based on public reviews and response behavior.

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999 reviews over 160 days (about 190 per month). Busiest month: 22% of reviews. Languages: en 89%, fr 4%, unknown 2%.

Overall Score

65/100
Short observation window (160 days)
−2.0 vs. last month3.97 ★ average rating · 999 reviews
65/100 from 999 reviews over 6 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

64.6

Industry average 66.2

1.6 below average

Rating

3.97

Industry average 4.38

0.41 below average

Reply rate

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Industry average 42.8%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#791of 1436 ranked in Professional Services
Top 55% · Mid Packdown 9 from last month
#1 (best)#1436 (worst)
#789Peer
#790Peer
#791This company
#792Peer
#793Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

67% of reviews positive, 32% negative

67%
positive
  • Positive67%
  • Neutral1%
  • Negative32%

Sentiment Balance

Covering July 2026 — 106 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 68% of reviews in this period, with 32% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Loyalty
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Delivery Shipping
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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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