Customereye

GiftExpress

Cosmetics & Fragrance • United Statesgiftexpress.com

Review data last updated .

Based on public reviews and response behavior.

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997 reviews over 147 days (about 206 per month). Busiest month: 23% of reviews. Languages: en 85%, unknown 10%, es 4%.

Overall Score

59/100
Short observation window (147 days)
−6.6 vs. last month3.82 ★ average rating · 997 reviews
59/100 from 997 reviews over 6 months, high confidence. trend not shown: window under six months.

Cosmetics & Fragrance average: score 60.6, rating 4.30 stars, reply rate 37.0%, over 380 ranked companies · benchmark 6 Oct 2026

Score

59.0

Industry average 60.6

1.6 below average

Rating

3.82

Industry average 4.30

0.48 below average

Reply rate

—

Industry average 37.0%

not measured

Competitive Performance Rank

Among ranked Cosmetics & Fragrance companies

#187of 380 ranked in Cosmetics & Fragrance
Top 49% · Upper Half
#1 (best)#380 (worst)
#185Peer
#186Peer
#187This company
#188Peer
#189Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

53% of reviews positive, 45% negative

53%
positive
  • Positive53%
  • Neutral2%
  • Negative45%

Sentiment Balance

Covering July 2026 — 96 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 53% of reviews in this period, with 45% negative and 2% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 6 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Delivery Shipping
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Product Quality
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Pricing
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Response Speed
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Loyalty
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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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