Customereye

FableWood

Home & Livingfablewood.net

Review data last updated .

Based on public reviews and response behavior.

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66 reviews over 485 days (about 4.1 per month). Busiest month: 6% of reviews. Languages: da 50%, en 42%, fr 3%.

Overall Score

69/100
4.91 ★ average rating · 66 reviews
69/100 from 66 reviews over 5 months, limited confidence. sentiment from 50% of reviews.

Home & Living average: score 68.6, rating 4.49 stars, reply rate 44.3%, over 6,705 ranked companies · benchmark 23 Oct 2026

Score

69.4

Industry average 68.6

0.8 above average

Rating

4.91

Industry average 4.49

0.42 above average

Reply rate

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Industry average 44.3%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#3425of 6705 ranked in Home & Living
Top 51% · Mid Pack
#1 (best)#6705 (worst)
#3423Peer
#3424Peer
#3425This company
#3426Peer
#3427Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Based on 50% of reviews
Mid Pack

79% of reviews positive, 21% negative

79%
positive
  • Positive79%
  • Neutral0%
  • Negative21%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Reviews are mostly in da

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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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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