Customereye

McCarthy Stone

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

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 37 days (about 165 per month). Busiest month: 75% of reviews — one month dominates this sample. Languages: en 99%, fr 1%, unknown 1%.

Overall Score

80/100
Short observation window (37 days)
+4.7 vs. last month4.62 ★ average rating · 200 reviews
80/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 75% of the reviews.

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

Score

79.5

Industry average 66.8

12.7 above average

Rating

4.62

Industry average 4.21

0.41 above average

Reply rate

—

Industry average 55.5%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#130of 637 ranked in Real Estate & Property
Top 20% · Top Tier
#1 (best)#637 (worst)
#128Peer
#129Peer
#130This company
#131Peer
#132Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

93% of reviews positive, 8% negative

93%
positive
  • Positive93%
  • Neutral0%
  • Negative8%

Sentiment Balance

Covering September 2026 — 50 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 96% of reviews in this period, with 4% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
Hidden
Loyalty
Hidden
Product Quality
Hidden
Hidden

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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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