Customereye

Welcome Furniture

Home & Living • United Kingdomwww.welcomefurniture.co.uk

Review data last updated .

Based on public reviews and response behavior.

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163 reviews over 350 days (about 14 per month). Busiest month: 11% of reviews. Languages: en 100%.

Overall Score

66/100
4.56 ★ average rating · 163 reviews
66/100 from 163 reviews over 12 months, moderate confidence.

Home & Living average: score 67.9, rating 4.44 stars, reply rate 45.4%, over 5,448 ranked companies · benchmark 30 Oct 2026

Score

66.4

Industry average 67.9

1.5 below average

Rating

4.56

Industry average 4.44

0.12 above average

Reply rate

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Industry average 45.4%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#3052of 5448 ranked in Home & Living
Top 56% · Mid Packup 123 from last month
#1 (best)#5448 (worst)
#3050Peer
#3051Peer
#3052This company
#3053Peer
#3054Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

90% of reviews positive, 10% negative

90%
positive
  • Positive90%
  • Neutral0%
  • Negative10%

Sentiment Balance

Covering September 2026 — 15 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 87% of reviews in this period, with 13% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Customer Support
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Product Quality
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Problem Resolution
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Response Speed
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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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