Customereye

Sisu Clinic

Beauty & Wellnesssisuclinic.com

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 217 days (about 28 per month). Busiest month: 22% of reviews. Languages: en 100%.

Overall Score

72/100
+7.1 vs. last month4.75 ★ average rating · 200 reviews
72/100 from 200 reviews over 8 months, moderate confidence.

Beauty & Wellness average: score 64.6, rating 4.22 stars, reply rate 38.6%, over 2,561 ranked companies · benchmark 23 Oct 2026

Score

71.6

Industry average 64.6

7.0 above average

Rating

4.75

Industry average 4.22

0.53 above average

Reply rate

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Industry average 38.6%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#933of 2561 ranked in Beauty & Wellness
Top 36% · Upper Halfup 250 from last month
#1 (best)#2561 (worst)
#931Peer
#932Peer
#933This company
#934Peer
#935Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

92% of reviews positive, 8% negative

92%
positive
  • Positive92%
  • Neutral1%
  • Negative8%

Sentiment Balance

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

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 100% of reviews in this period, with 0% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Loyalty
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Product Quality
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Customer Support
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Delivery Shipping
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Communication
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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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