Customereye

Dior US

Cosmetics & Fragrance • United Statesdior-us.com

Review data last updated .

Based on public reviews and response behavior.

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1,000 reviews over 2,033 days (about 15 per month). Busiest month: 54% of reviews — one month dominates this sample. Languages: en 90%, unknown 7%, fr 1%.

Overall Score

52/100
−12.5 vs. last month4.33 ★ average rating · 1,000 reviews
52/100 from 1,000 reviews over 16 months, high confidence. one month holds 54% of the reviews.

Cosmetics & Fragrance average: score 61.0, rating 4.31 stars, reply rate 37.2%, over 406 ranked companies · benchmark 7 Oct 2026

Score

51.9

Industry average 61.0

9.1 below average

Rating

4.33

Industry average 4.31

0.02 above average

Reply rate

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Industry average 37.2%

not measured

Competitive Performance Rank

Among ranked Cosmetics & Fragrance companies

#313of 406 ranked in Cosmetics & Fragrance
Top 77% · Bottom Tierdown 45 from last month
#1 (best)#406 (worst)
#311Peer
#312Peer
#313This company
#314Peer
#315Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

80% of reviews positive, 19% negative

80%
positive
  • Positive80%
  • Neutral1%
  • Negative19%

Sentiment Balance

Covering January 2026 — 4 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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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Response Speed
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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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