Plackers Premium Sonic Anti-Plaque Replacement Brush Heads, Fits Philips Sonicare Click-On Electric Toothbrushes, 1 Year Supply, Blue, 4 Count

Plackers Premium Sonic Anti-Plaque Replacement Brush Heads, Fits Philips Sonicare Click-On Electric Toothbrushes, 1 Year Supply, Blue, 4 Count

ASIN: B085YKWZP8
Analysis Date: Nov 3, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.33
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: multiple verified purchases (7/12), reasonable rating distribution (8 five-star, 3 four-star, 1 three-star), and detailed descriptions of product fit issues and comparisons to original brands. However, concerning patterns include: several reviews mentioning 'cheaper alternative' and cost savings in similar phrasing, one review with social media handle 'IG & TT-Type2badd' which is unusual for Amazon reviews, and some overly generic positive statements without specific details. The moderate fake percentage reflects that while most reviews appear genuine, there are likely some incentivized or biased reviews in the mix, particularly among the 5-star ratings that focus primarily on price rather than performance.

Review Statistics

302
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 (3.70 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 (4.33 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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