Customereye

Watson PM

Real Estate & Propertywatsonpm.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,986 days (about 1.5 per month). Busiest month: 11% of reviews. Languages: en 100%.

Overall Score

62/100
−28.6 vs. last month2.72 ★ average rating · 100 reviews
62/100 from 100 reviews over 10 months, moderate confidence.

Real Estate & Property average: score 69.2, rating 4.36 stars, reply rate 47.3%, over 1,428 ranked companies · benchmark 21 Oct 2026

Score

62.3

Industry average 69.2

6.9 below average

Rating

2.72

Industry average 4.36

1.64 below average

Reply rate

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Industry average 47.3%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#998of 1428 ranked in Real Estate & Property
Top 70% · Mid Packdown 453 from last month
#1 (best)#1428 (worst)
#996Peer
#997Peer
#998This company
#999Peer
#1000Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

50% of reviews positive, 49% negative

50%
positive
  • Positive50%
  • Neutral1%
  • Negative49%

Sentiment Balance

Covering September 2026 — 7 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 71% of reviews in this period, with 29% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
Hidden
Problem Resolution
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Loyalty
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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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