Customereye

Clear Minds

Beauty & Wellnessclearminds.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 350 days (about 17 per month). Busiest month: 20% of reviews. Languages: en 100%.

Overall Score

85/100
+7.3 vs. last month4.13 ★ average rating · 200 reviews
85/100 from 200 reviews over 12 months, moderate confidence.

Beauty & Wellness average: score 66.1, rating 4.34 stars, reply rate 39.5%, over 2,430 ranked companies · benchmark 25 Oct 2026

Score

84.9

Industry average 66.1

18.8 above average

Rating

4.13

Industry average 4.34

0.21 below average

Reply rate

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Industry average 39.5%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#213of 2430 ranked in Beauty & Wellness
Top 9% · Top Tierup 181 from last month
#1 (best)#2430 (worst)
#211Peer
#212Peer
#213This company
#214Peer
#215Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

76% of reviews positive, 25% negative

76%
positive
  • Positive76%
  • Neutral0%
  • Negative25%

Sentiment Balance

Covering September 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Loyalty
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Product Quality
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Delivery Shipping
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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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