Customereye

Wellness Nest

Beauty & Wellness • United Stateswellnessnest.co

Review data last updated .

Based on public reviews and response behavior.

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509 reviews over 350 days (about 44 per month). Busiest month: 21% of reviews. Languages: en 31%, fr 24%, de 21%.

Overall Score

70/100
−16.7 vs. last month4.51 ★ average rating · 509 reviews
70/100 from 509 reviews over 11 months, high confidence.

Beauty & Wellness average: score 65.4, rating 4.28 stars, reply rate 40.6%, over 1,840 ranked companies · benchmark 30 Oct 2026

Score

70.3

Industry average 65.4

4.9 above average

Rating

4.51

Industry average 4.28

0.23 above average

Reply rate

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Industry average 40.6%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#720of 1840 ranked in Beauty & Wellness
Top 39% · Upper Halfdown 73 from last month
#1 (best)#1840 (worst)
#718Peer
#719Peer
#720This company
#721Peer
#722Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

77% of reviews positive, 23% negative

77%
positive
  • Positive77%
  • Neutral1%
  • Negative23%

Sentiment Balance

Covering May 2026 — 3 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 33% of reviews in this period, with 67% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Delivery Shipping
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Product Quality
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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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