Customereye

Sunlighten, Inc.

Beauty & Wellness • United Statessunlighten.com

Review data last updated .

Based on public reviews and response behavior.

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1,163 reviews over 1,241 days (about 29 per month). Busiest month: 17% of reviews. Languages: en 98%, unknown 2%, fr 0%.

Overall Score

87/100
−18.7 vs. last month4.34 ★ average rating · 1,163 reviews
87/100 from 1,163 reviews over 29 months, high confidence.

Beauty & Wellness average: score 66.1, rating 4.34 stars, reply rate 39.5%, over 2,432 ranked companies · benchmark 23 Oct 2026

Score

86.5

Industry average 66.1

20.4 above average

Rating

4.34

Industry average 4.34

in line with average

Reply rate

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Industry average 39.5%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#177of 2432 ranked in Beauty & Wellness
Top 7% · Top Tierdown 144 from last month
#1 (best)#2432 (worst)
#175Peer
#176Peer
#177This company
#178Peer
#179Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Category Leader

83% of reviews positive, 17% negative

83%
positive
  • Positive83%
  • Neutral1%
  • Negative17%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

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

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Customer Support
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Product Quality
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Onboarding
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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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