Customereye

Rivn Peptides

Supplements & Nutritionrivnresearch.com

Review data last updated .

Based on public reviews and response behavior.

Tip: Tap or click the ⓘ icons to learn how to read each section. Expand cards for evidence.

200 reviews over 27 days (about 225 per month). Busiest month: 78% of reviews — one month dominates this sample. Languages: en 100%, es 1%.

Overall Score

58/100
Short observation window (27 days)
+6.2 vs. last month4.97 ★ average rating · 200 reviews
58/100 from 200 reviews over 2 months, moderate confidence. trend not shown: window under six months. one month holds 78% of the reviews.

Supplements & Nutrition average: score 63.1, rating 4.42 stars, reply rate 44.5%, over 776 ranked companies · benchmark 8 Oct 2026

Score

58.2

Industry average 63.1

4.9 below average

Rating

4.97

Industry average 4.42

0.55 above average

Reply rate

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Industry average 44.5%

not measured

Competitive Performance Rank

Among ranked Supplements & Nutrition companies

#471of 776 ranked in Supplements & Nutrition
Top 61% · Mid Packup 40 from last month
#1 (best)#776 (worst)
#469Peer
#470Peer
#471This company
#472Peer
#473Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Mid Pack

91% of reviews positive, 9% negative

91%
positive
  • Positive91%
  • Neutral1%
  • Negative9%

Sentiment Balance

Covering September 2026 — 156 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 92% of reviews in this period, with 7% negative and 1% neutral.

Sentiment Trend Over Time

Reviews (Count)
Hidden

Based on 2 months of reviews, too short to read a trend

Half or more of these reviews arrived in a single month

Theme Distribution

Share of theme mentions

Delivery Shipping
Hidden
Response Speed
Hidden
Product Quality
Hidden
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How this analysis was produced

The figures on this page are calculated from a balanced sample of this company's reviews, spread across the period they were written rather than taken only from the most recent. 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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