Customereye

Facelove Cosmetics

Cosmetics & Fragrance • United Statesfacelove-cosmetics.com

Review data last updated .

Based on public reviews and response behavior.

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81 days of reviews, with a steady monthly review flow. Busiest month: 49% of reviews. Languages: en 100%.

Overall Score

54/100
Short observation window (81 days)
−20.3 vs. last month4.35 ★ average rating
54/100 from public reviews over 3 months, moderate confidence. trend not shown: window under six months.

Cosmetics & Fragrance average: score 63.5, rating 4.26 stars, reply rate 35.8%, over 402 ranked companies · benchmark 4 Nov 2026

Score

54.1

Industry average 63.5

9.4 below average

Rating

4.35

Industry average 4.26

0.09 above average

Reply rate

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Industry average 35.8%

not measured

Competitive Performance Rank

Among ranked Cosmetics & Fragrance companies

#306of 402 ranked in Cosmetics & Fragrance
Top 76% · Bottom Tierup 47 from last month
#1 (best)#402 (worst)
#304Peer
#305Peer
#306This company
#307Peer
#308Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

84% of reviews positive, 15% negative

84%
positive
  • Positive84%
  • Neutral1%
  • Negative15%

Sentiment Balance

Covering October 2026, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 71% of reviews in this period, with 29% negative and 0% neutral.

Sentiment Trend Over Time

Review activity
Hidden

Based on 3 months of reviews, too short to read a trend

Theme Distribution

Share of theme mentions

Customer Support
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Delivery Shipping
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Response Speed
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Pricing
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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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