Customereye

Fitandfurnish

Home & Livingwww.fitandfurnish.co.uk

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,215 days (about 2.5 per month). Busiest month: 13% of reviews. Languages: en 100%.

Overall Score

60/100
−50.1 vs. last month4.93 ★ average rating · 100 reviews
60/100 from 100 reviews over 17 months, moderate confidence.

Home & Living average: score 68.6, rating 4.49 stars, reply rate 44.2%, over 6,704 ranked companies · benchmark 25 Oct 2026

Score

60.0

Industry average 68.6

8.6 below average

Rating

4.93

Industry average 4.49

0.44 above average

Reply rate

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Industry average 44.2%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#4822of 6704 ranked in Home & Living
Top 72% · Mid Packdown 2637 from last month
#1 (best)#6704 (worst)
#4820Peer
#4821Peer
#4822This company
#4823Peer
#4824Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

93% of reviews positive, 6% negative

93%
positive
  • Positive93%
  • Neutral1%
  • Negative6%

Sentiment Balance

Covering June 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 33% negative and 33% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Customer Support
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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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