Customereye

Williamhbrown

Real Estate & Propertywilliamhbrown.co.uk

Review data last updated .

Based on public reviews and response behavior.

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142 reviews over 357 days (about 12 per month). Busiest month: 16% of reviews. Languages: en 100%.

Overall Score

32/100
−21.4 vs. last month2.08 ★ average rating · 142 reviews
32/100 from 142 reviews over 12 months, moderate confidence.

Real Estate & Property average: score 69.5, rating 4.35 stars, reply rate 50.3%, over 1,055 ranked companies · benchmark 30 Oct 2026

Score

31.6

Industry average 69.5

37.9 below average

Rating

2.08

Industry average 4.35

2.27 below average

Reply rate

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Industry average 50.3%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#1029of 1055 ranked in Real Estate & Property
Top 98% · Bottom Tierup 379 from last month
#1 (best)#1055 (worst)
#1027Peer
#1028Peer
#1029This company
#1030Peer
#1031Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

44% of reviews positive, 56% negative

44%
positive
  • Positive44%
  • Neutral0%
  • Negative56%

Sentiment Balance

Covering October 2026 — 13 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 31% of reviews in this period, with 69% 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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Product Quality
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Onboarding
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Value For Money
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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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