Customereye

Linley & Simpson

Real Estate & Propertywww.linleyandsimpson.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 96 days (about 63 per month). Busiest month: 34% of reviews. Languages: en 100%.

Overall Score

72/100
Short observation window (96 days)
+6.8 vs. last month4.49 ★ average rating · 200 reviews
72/100 from 200 reviews over 4 months, moderate confidence. trend not shown: window under six months.

Real Estate & Property average: score 66.8, rating 4.21 stars, reply rate 55.5%, over 637 ranked companies · benchmark 6 Oct 2026

Score

71.8

Industry average 66.8

5.0 above average

Rating

4.49

Industry average 4.21

0.28 above average

Reply rate

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Industry average 55.5%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#266of 637 ranked in Real Estate & Property
Top 42% · Upper Half
#1 (best)#637 (worst)
#264Peer
#265Peer
#266This company
#267Peer
#268Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

83% of reviews positive, 17% negative

83%
positive
  • Positive83%
  • Neutral0%
  • Negative17%

Sentiment Balance

Covering September 2026 — 37 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 84% of reviews in this period, with 16% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 4 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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Product Quality
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Pricing
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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