Customereye

Eight Asset Management

Real Estate & Property • United Kingdomwww.eightam.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 913 days (about 3.3 per month). Busiest month: 10% of reviews. Languages: en 100%.

Overall Score

68/100
3.52 ★ average rating · 100 reviews
68/100 from 100 reviews over 15 months, moderate confidence.

Real Estate & Property average: score 68.2, rating 4.27 stars, reply rate 48.8%, over 1,132 ranked companies · benchmark 3 Nov 2026

Score

67.9

Industry average 68.2

0.3 below average

Rating

3.52

Industry average 4.27

0.75 below average

Reply rate

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Industry average 48.8%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#648of 1132 ranked in Real Estate & Property
Top 57% · Mid Pack
#1 (best)#1132 (worst)
#646Peer
#647Peer
#648This company
#649Peer
#650Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

61% of reviews positive, 39% negative

61%
positive
  • Positive61%
  • Neutral0%
  • Negative39%

Sentiment Balance

Covering July 2025 — 3 reviews, not the company's full review history.

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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)
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Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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Problem Resolution
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Response Speed
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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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