Customereye

Ample Store

Home & Living • United Kingdomample-store.co.uk

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 108 days (about 56 per month). Busiest month: 33% of reviews. Languages: en 90%, unknown 7%, da 1%.

Overall Score

67/100
Short observation window (108 days)
−4.8 vs. last month4.86 ★ average rating · 200 reviews
67/100 from 200 reviews over 5 months, moderate confidence. trend not shown: window under six months.

Home & Living average: score 66.9, rating 4.46 stars, reply rate 45.9%, over 5,066 ranked companies · benchmark 14 Oct 2026

Score

67.3

Industry average 66.9

0.4 above average

Rating

4.86

Industry average 4.46

0.40 above average

Reply rate

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Industry average 45.9%

not measured

Competitive Performance Rank

Among ranked Home & Living companies

#2605of 5066 ranked in Home & Living
Top 51% · Mid Packdown 49 from last month
#1 (best)#5066 (worst)
#2603Peer
#2604Peer
#2605This company
#2606Peer
#2607Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

79% of reviews positive, 19% negative

79%
positive
  • Positive79%
  • Neutral2%
  • Negative19%

Sentiment Balance

Covering September 2026 — 12 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 75% of reviews in this period, with 25% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Based on 5 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Delivery Shipping
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Response Speed
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Pricing
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Communication
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Problem Resolution
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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