Hestiasko 17 oz Coffee Mug, Double Walled Vacuum Travel Mug, Leakproof Travel Coffee Mug with Lid, 304 Stainless Steel Insulated Coffee Mug for Hot Ice Coffee Cola Milk Tea(510ml, Black

Hestiasko 17 oz Coffee Mug, Double Walled Vacuum Travel Mug, Leakproof Travel Coffee Mug with Lid, 304 Stainless Steel Insulated Coffee Mug for Hot Ice Coffee Cola Milk Tea(510ml, Black

ASIN: B0BPG4DNRL
Analysis Date: Oct 10, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.47
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a mix of genuine and potentially inauthentic reviews. Analysis reveals: 1) Strong verification rate with 100% verified purchases, 2) Suspicious rating distribution with 69% 5-star reviews and only 23% 3-star reviews, creating an unnatural positivity bias, 3) Several reviews show formulaic language and excessive enthusiasm typical of incentivized reviews, 4) Multiple duplicate/similar reviews from the same user (R2KTPW58VP2CLF appears twice with identical text), 5) However, the presence of legitimate critical reviews about leaking issues and product defects provides balance. The moderate fake percentage reflects that while some reviews appear promotional, there's enough authentic feedback to suggest real product experiences.

Review Statistics

845
Total Reviews on Amazon
-0.67
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 (3.80 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 (4.47 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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