Customereye

LFM PLUMBING & HEATING LTD

Home Serviceslfmbasingstoke.co.uk

Review data last updated .

Based on public reviews and response behavior.

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52 reviews over 1,877 days (about 0.8 per month). Busiest month: 17% of reviews. Languages: en 100%.

Overall Score

57/100
−45.8 vs. last month5.00 ★ average rating · 52 reviews
57/100 from 52 reviews over 6 months, limited confidence.

Home Services average: score 71.4, rating 4.67 stars, reply rate 44.7%, over 2,040 ranked companies · benchmark 23 Oct 2026

Score

57.1

Industry average 71.4

14.3 below average

Rating

5.00

Industry average 4.67

0.33 above average

Reply rate

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Industry average 44.7%

not measured

Competitive Performance Rank

Among ranked Home Services companies

#1792of 2040 ranked in Home Services
Top 88% · Bottom Tierdown 105 from last month
#1 (best)#2040 (worst)
#1790Peer
#1791Peer
#1792This company
#1793Peer
#1794Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

56% of reviews positive, 37% negative

56%
positive
  • Positive56%
  • Neutral8%
  • Negative37%

Sentiment Balance

Covering April 2025 — 8 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 38% of reviews in this period, with 63% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
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Product Quality
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Customer Support
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Problem Resolution
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Delivery Shipping
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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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