Customereye

Insight Timer

Beauty & Wellnesswww.insighttimer.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 470 days (about 6.5 per month). Busiest month: 46% of reviews. Languages: en 98%, es 1%, it 1%.

Overall Score

55/100
4.47 ★ average rating · 100 reviews
55/100 from 100 reviews over 7 months, moderate confidence.

Beauty & Wellness average: score 64.6, rating 4.22 stars, reply rate 38.6%, over 2,562 ranked companies · benchmark 22 Oct 2026

Score

55.2

Industry average 64.6

9.4 below average

Rating

4.47

Industry average 4.22

0.25 above average

Reply rate

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Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#1951of 2562 ranked in Beauty & Wellness
Top 76% · Bottom Tier
#1 (best)#2562 (worst)
#1949Peer
#1950Peer
#1951This company
#1952Peer
#1953Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

85% of reviews positive, 15% negative

85%
positive
  • Positive85%
  • Neutral0%
  • Negative15%

Sentiment Balance

Covering September 2026 — 6 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 83% of reviews in this period, with 17% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Customer Support
Hidden
Product Quality
Hidden
Hidden

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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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