Lifeboost 3 Pack Medium Roast Whole Bean Coffee - Non-GMO Low Acid Single Origin USDA Organic Coffee - Third Party Tested For Mycotoxins & Pesticides - 12 Ounces

Lifeboost 3 Pack Medium Roast Whole Bean Coffee - Non-GMO Low Acid Single Origin USDA Organic Coffee - Third Party Tested For Mycotoxins & Pesticides - 12 Ounces

ASIN: B09X67QJ9D
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.63
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: one 2-star negative review providing balance, varied review lengths with some detailed experiences, and specific product mentions (Lifeboost coffee, low acidity, mold testing). Concerning patterns include: extremely high 5-star concentration (7/8 reviews), several overly enthusiastic reviews with repetitive praise language, and some reviews with generic marketing-style phrasing. The verification badge presence is positive but doesn't guarantee authenticity. The moderate fake percentage reflects that while some reviews appear genuine, the overwhelming positivity and repetitive language patterns suggest potential incentivized or artificial reviews mixed with legitimate feedback.

Review Statistics

105
Total Reviews on Amazon
-0.63
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (4.00 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 (4.63 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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