Customereye

Jonathan Lee Recruitment

Jobs & Recruitment • United Kingdomwww.jonlee.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 217 days (about 14 per month). Busiest month: 23% of reviews. Languages: en 100%.

Overall Score

81/100
+18.2 vs. last month5.00 ★ average rating · 100 reviews
81/100 from 100 reviews over 8 months, moderate confidence.

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

Score

80.9

Industry average 69.7

11.2 above average

Rating

5.00

Industry average 4.42

0.58 above average

Reply rate

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Industry average 43.1%

not measured

Competitive Performance Rank

Among ranked Jobs & Recruitment companies

#93of 416 ranked in Jobs & Recruitment
Top 22% · Top Tierup 76 from last month
#1 (best)#416 (worst)
#91Peer
#92Peer
#93This company
#94Peer
#95Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

98% of reviews positive, 2% negative

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

Sentiment Balance

Covering October 2026 — 5 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)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Onboarding
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Loyalty
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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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