Customereye

Scent Split

Cosmetics & Fragrance • United Stateswww.scentsplit.com

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

1,000 reviews over 54 days (about 564 per month). Busiest month: 55% of reviews — one month dominates this sample. Languages: en 94%, unknown 5%, es 1%.

Overall Score

72/100
Short observation window (54 days)
−2.4 vs. last month4.72 ★ average rating · 1,000 reviews
72/100 from 1,000 reviews over 3 months, high confidence. trend not shown: window under six months. one month holds 55% of the reviews.

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

Score

71.6

Industry average 60.6

11.0 above average

Rating

4.72

Industry average 4.30

0.42 above average

Reply rate

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Industry average 37.0%

not measured

Competitive Performance Rank

Among ranked Cosmetics & Fragrance companies

#84of 380 ranked in Cosmetics & Fragrance
Top 22% · Top Tier
#1 (best)#380 (worst)
#82Peer
#83Peer
#84This company
#85Peer
#86Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

79% of reviews positive, 19% negative

79%
positive
  • Positive79%
  • Neutral1%
  • Negative19%

Sentiment Balance

Covering July 2026 — 282 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 77% of reviews in this period, with 22% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

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

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Delivery Shipping
Hidden
Product Quality
Hidden
Response Speed
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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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