Philips Norelco OneBlade 360 Blades, Genuine Replacement Blades for OneBlade Electric Shaver and Trimmer, Durable Stainless Steel, Trim, Edge and Shave, 3 Pack, QP430/80

Philips Norelco OneBlade 360 Blades, Genuine Replacement Blades for OneBlade Electric Shaver and Trimmer, Durable Stainless Steel, Trim, Edge and Shave, 3 Pack, QP430/80

ASIN: B0CDQFVY1J
Analysis Date: Oct 20, 2025 (re-analyzed Oct 20, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.92
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (mostly 5-star with one 4-star), varied review lengths, and some detailed usage experiences. However, concerning patterns include: 11 of 12 reviews are verified purchases (91.7%), which is unusually high; multiple reviews use nearly identical marketing language ('360-degree rotation is a game-changer', 'precision, versatility, and performance'); several reviews contain overly promotional phrasing that mimics advertising copy; and there are multiple very brief reviews (2-3 words) that lack substance. The combination of high verification rate with repetitive marketing language suggests some coordinated reviewing activity, though many reviews appear genuine with specific usage details.

Review Statistics

6,488
Total Reviews on Amazon
-0.72
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 (4.20 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 (4.92 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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