Lakanto Sugar Free Drinking Chocolate - Cold or Hot Cocoa Powder Mix, Shelf Stable Probiotics, Monk Fruit Sweetener, Keto Diet Friendly, Vegan, Dutch Cocoa, Gourmet Taste (Original - 10 oz)

Lakanto Sugar Free Drinking Chocolate - Cold or Hot Cocoa Powder Mix, Shelf Stable Probiotics, Monk Fruit Sweetener, Keto Diet Friendly, Vegan, Dutch Cocoa, Gourmet Taste (Original - 10 oz)

ASIN: B01G4I8VGQ
Analysis Date: Oct 25, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.87
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows a mixed authenticity profile with several legitimate characteristics but some concerning patterns. Positive aspects include: natural rating distribution (5★=58%, 4★=17%, 3★=25%, 1★=17%), detailed negative reviews with specific complaints, and varied review lengths/styles. Concerning patterns include: one duplicate review (R2GHWV9CY6PKPU appears twice with identical content), some overly enthusiastic 5-star reviews that read like marketing copy, and a few reviews that focus heavily on health benefits in promotional language. The product appears to be legitimate overall with mostly genuine customer feedback, but likely has some incentivized or overly enthusiastic reviews mixed in.

Review Statistics

5,303
Total Reviews on Amazon
-0.57
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 (3.30 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 (3.87 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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