Customereye

Accelerate Labs

Professional Servicesaccelerate-labs.us

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 679 days (about 4.5 per month). Busiest month: 9% of reviews. Languages: en 90%, unknown 10%.

Overall Score

56/100
−3.6 vs. last month4.43 ★ average rating · 100 reviews
56/100 from 100 reviews over 17 months, moderate confidence.

Professional Services average: score 66.0, rating 4.35 stars, reply rate 45.1%, over 1,150 ranked companies · benchmark 30 Oct 2026

Score

55.6

Industry average 66.0

10.4 below average

Rating

4.43

Industry average 4.35

0.08 above average

Reply rate

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Industry average 45.1%

not measured

Competitive Performance Rank

Among ranked Professional Services companies

#879of 1150 ranked in Professional Services
Top 76% · Bottom Tierdown 33 from last month
#1 (best)#1150 (worst)
#877Peer
#878Peer
#879This company
#880Peer
#881Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

64% of reviews positive, 35% negative

64%
positive
  • Positive64%
  • Neutral1%
  • Negative35%

Sentiment Balance

Covering December 2025 — 7 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 71% of reviews in this period, with 29% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Response Speed
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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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