Customereye

Francislouis

Real Estate & Propertywww.francislouis.co.uk

Review data last updated .

Based on public reviews and response behavior.

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87 reviews over 2,490 days (about 1.1 per month). Busiest month: 20% of reviews. Languages: en 100%.

Overall Score

60/100
3.97 ★ average rating · 87 reviews
60/100 from 87 reviews over 8 months, limited confidence.

Real Estate & Property average: score 69.2, rating 4.36 stars, reply rate 47.3%, over 1,428 ranked companies · benchmark 22 Oct 2026

Score

60.4

Industry average 69.2

8.8 below average

Rating

3.97

Industry average 4.36

0.39 below average

Reply rate

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Industry average 47.3%

not measured

Competitive Performance Rank

Among ranked Real Estate & Property companies

#1095of 1428 ranked in Real Estate & Property
Top 77% · Bottom Tier
#1 (best)#1428 (worst)
#1093Peer
#1094Peer
#1095This company
#1096Peer
#1097Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

70% of reviews positive, 30% negative

70%
positive
  • Positive70%
  • Neutral0%
  • Negative30%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 85% of reviews in this period, with 15% 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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Problem Resolution
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Communication
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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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