Customereye

ChapmanBlack

Jobs & Recruitment • United Kingdomwww.chapmanblack.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 434 days (about 7 per month). Busiest month: 71% of reviews — one month dominates this sample. Languages: en 100%.

Overall Score

82/100
4.81 ★ average rating · 100 reviews
82/100 from 100 reviews over 3 months, limited confidence. no reviews in the last 12 months. one month holds 71% of the reviews.

These figures describe an earlier period, not the last 12 months.

Jobs & Recruitment average: score 69.7, rating 4.42 stars, reply rate 43.1%, over 416 ranked companies · benchmark 30 Oct 2026

Score

81.7

Industry average 69.7

12.0 above average

Rating

4.81

Industry average 4.42

0.39 above average

Reply rate

—

Industry average 43.1%

not measured

Competitive Performance Rank

Not ranked

no reviews in the last 12 months

Overall Customer Sentiment

Below Average

98% of reviews positive, 2% negative

98%
positive
  • Positive98%
  • Neutral0%
  • Negative2%

Sentiment Balance

Covering August 2018 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Customer Support
Hidden
Product Quality
Hidden
Hidden

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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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