SeabuckWonders Organic Sea Buckthorn Oil, Omega-7 Complete Softgels, 120 Count, with Omega 3, 6 & 9, Supports Hair, Skin & Nail Health, 1000mg per Serving

SeabuckWonders Organic Sea Buckthorn Oil, Omega-7 Complete Softgels, 120 Count, with Omega 3, 6 & 9, Supports Hair, Skin & Nail Health, 1000mg per Serving

ASIN: B004BKR31E
Analysis Date: Oct 11, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.07
Original Rating
3.20
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily polarized with 11 five-star reviews (69%) and 3 one-star reviews (19%), creating a suspicious U-shaped pattern. Multiple five-star reviews contain exaggerated marketing language, unsupported health claims, and generic praise that reads like promotional copy. Several reviews mention dramatic results across multiple unrelated health benefits (skin, digestion, weight loss, eye health) which is medically improbable for a single supplement. The presence of verified purchase badges provides some legitimacy, but the content quality and pattern suggest potential review manipulation through incentivized reviews or fake positive reviews to counter legitimate negative feedback about product quality issues (capsules sticking together, leakage).

Review Statistics

4,599
Total Reviews on Amazon
-0.87
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.20 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.07 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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