Plantar Fasciitis Heel Cups for Heel Pain 【Updated Version】 Protectors Sleeves Pads, Support for Spur, Women and Men (Black, M 8.5-12 / W 10-13)

Plantar Fasciitis Heel Cups for Heel Pain 【Updated Version】 Protectors Sleeves Pads, Support for Spur, Women and Men (Black, M 8.5-12 / W 10-13)

ASIN: B09171XJNS
Analysis Date: Oct 6, 2025 (re-analyzed Oct 6, 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 moderate authenticity concerns with several suspicious patterns. While most reviews appear genuine with specific medical conditions and detailed usage scenarios, there are notable red flags: 1) High 5-star concentration (8/14 reviews) with repetitive positive phrasing, 2) Duplicate review (R20MI96KPD4CUD appears twice with identical text), 3) Several reviews contain generic praise without specific product details, and 4) Some reviews show unnatural language patterns. However, the presence of mixed ratings (including 1-3 star reviews), detailed medical condition descriptions, and varied writing styles suggests a substantial portion are legitimate. The duplicate review and formulaic 5-star patterns elevate suspicion but not to extreme levels.

Review Statistics

5,534
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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