Customereye

Jayman Estate Agents

Real Estate & Property • United Kingdomjayman.co.uk

Review data last updated .

Based on public reviews and response behavior.

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2,575 days of reviews, with a sparse monthly review flow. Busiest month: 11% of reviews. Languages: en 100%.

Overall Score

57/100
4.82 ★ average rating
57/100 from public reviews over 15 months, moderate confidence.

Real Estate & Property average: score 68.3, rating 4.28 stars, reply rate 48.8%, over 1,132 ranked companies · benchmark 4 Nov 2026

Score

57.1

Industry average 68.3

11.2 below average

Rating

4.82

Industry average 4.28

0.54 above average

Reply rate

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Industry average 48.8%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#916of 1132 ranked in Real Estate & Property
Top 81% · Bottom Tier
#1 (best)#1132 (worst)
#914Peer
#915Peer
#916This company
#917Peer
#918Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

88% of reviews positive, 11% negative

88%
positive
  • Positive88%
  • Neutral1%
  • Negative11%

Sentiment Balance

Covering August 2024, 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

Review activity
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
Product Quality
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Delivery Shipping
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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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