Customereye

ProLon FMD

Beauty & Wellness • United Statesprolonfast.com

Review data last updated .

Based on public reviews and response behavior.

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600 reviews over 367 days (about 50 per month). Busiest month: 32% of reviews.

Overall Score

60/100
+33.3 vs. last month3.87 ★ average rating · 600 reviews
60/100 from 600 reviews over 10 months, high confidence.

Beauty & Wellness average: score 66.1, rating 4.34 stars, reply rate 39.5%, over 2,432 ranked companies · benchmark 24 Oct 2026

Score

59.9

Industry average 66.1

6.2 below average

Rating

3.87

Industry average 4.34

0.47 below average

Reply rate

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Industry average 39.5%

not measured

Competitive Performance Rank

Among ranked Beauty & Wellness companies

#1643of 2432 ranked in Beauty & Wellness
Top 68% · Mid Packup 296 from last month
#1 (best)#2432 (worst)
#1641Peer
#1642Peer
#1643This company
#1644Peer
#1645Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

66% of reviews positive, 32% negative

66%
positive
  • Positive66%
  • Neutral2%
  • Negative32%

Sentiment Balance

Covering March 2024 — 4 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

Response Speed
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Product Quality
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Loyalty
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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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