Customereye

Cycling Diet

Beauty & Wellness • United Statescycling.diet

Review data last updated .

Based on public reviews and response behavior.

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200 reviews over 1,556 days (about 3.9 per month). Busiest month: 60% of reviews — one month dominates this sample. Languages: en 96%, unknown 4%, da 1%.

Overall Score

68/100
+30.0 vs. last month2.31 ★ average rating · 200 reviews
68/100 from 200 reviews over 8 months, limited confidence. one month holds 60% of the reviews.

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

Score

68.0

Industry average 65.4

2.6 above average

Rating

2.31

Industry average 4.28

1.97 below average

Reply rate

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Industry average 40.6%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#847of 1840 ranked in Beauty & Wellness
Top 46% · Upper Halfup 104 from last month
#1 (best)#1840 (worst)
#845Peer
#846Peer
#847This company
#848Peer
#849Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Above Average

42% of reviews positive, 56% negative

42%
positive
  • Positive42%
  • Neutral2%
  • Negative56%

Sentiment Balance

Covering May 2022 — 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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Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Customer Support
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Pricing
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Product Quality
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Loyalty
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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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