Customereye

Land Estates

Real Estate & Property • United Kingdomlandestate.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 2,160 days (about 1.4 per month). Busiest month: 14% of reviews. Languages: en 100%.

Overall Score

72/100
4.57 ★ average rating · 100 reviews
72/100 from 100 reviews over 12 months, moderate confidence.

Real Estate & Property average: score 68.2, rating 4.27 stars, reply rate 48.7%, over 1,138 ranked companies · benchmark 3 Nov 2026

Score

72.0

Industry average 68.2

3.8 above average

Rating

4.57

Industry average 4.27

0.30 above average

Reply rate

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Industry average 48.7%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#519of 1138 ranked in Real Estate & Property
Top 46% · Upper Half
#1 (best)#1138 (worst)
#517Peer
#518Peer
#519This company
#520Peer
#521Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

88% of reviews positive, 10% negative

88%
positive
  • Positive88%
  • Neutral2%
  • Negative10%

Sentiment Balance

Covering January 2023 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 0% negative and 33% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
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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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