Customereye

Amory London

Beauty & Wellnessamorylondon.com

Review data last updated .

Based on public reviews and response behavior.

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196 reviews over 363 days (about 16 per month). Busiest month: 15% of reviews. Languages: en 95%, de 2%, nl 2%.

Overall Score

70/100
+9.1 vs. last month4.35 ★ average rating · 196 reviews
70/100 from 196 reviews over 13 months, moderate confidence.

Beauty & Wellness average: score 66.1, rating 4.34 stars, reply rate 39.5%, over 2,432 ranked companies · benchmark 23 Oct 2026

Score

69.8

Industry average 66.1

3.7 above average

Rating

4.35

Industry average 4.34

in line with average

Reply rate

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Industry average 39.5%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#1042of 2432 ranked in Beauty & Wellness
Top 43% · Upper Halfup 221 from last month
#1 (best)#2432 (worst)
#1040Peer
#1041Peer
#1042This company
#1043Peer
#1044Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

83% of reviews positive, 17% negative

83%
positive
  • Positive83%
  • Neutral0%
  • Negative17%

Sentiment Balance

Covering September 2026 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Product Quality
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Customer Support
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Loyalty
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Pricing
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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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