Customereye

Omertà London

Cosmetics & Fragranceomertalondon.co.uk

Review data last updated .

Based on public reviews and response behavior.

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93 reviews over 372 days (about 7.6 per month). Busiest month: 17% of reviews. Languages: en 100%.

Overall Score

57/100
−50.0 vs. last month4.54 ★ average rating · 93 reviews
57/100 from 93 reviews over 10 months, limited confidence.

Cosmetics & Fragrance average: score 64.6, rating 4.33 stars, reply rate 36.7%, over 449 ranked companies · benchmark 23 Oct 2026

Score

56.7

Industry average 64.6

7.9 below average

Rating

4.54

Industry average 4.33

0.21 above average

Reply rate

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Industry average 36.7%

not measured

Competitive Performance Rank

Among ranked Cosmetics & Fragrance companies

#325of 449 ranked in Cosmetics & Fragrance
Top 72% · Mid Packdown 152 from last month
#1 (best)#449 (worst)
#323Peer
#324Peer
#325This company
#326Peer
#327Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

87% of reviews positive, 12% negative

87%
positive
  • Positive87%
  • Neutral1%
  • Negative12%

Sentiment Balance

Covering December 2025 — 4 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 50% of reviews in this period, with 50% 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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Loyalty
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Delivery Shipping
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Communication
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Onboarding
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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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