ONBRILL Shoe Cabinet with 4 Flip Drawers, Narrow Shoe Organizer with Symmetric Groove Pattern, Freestanding Wood Hidden Shoe Storage Cabinet for Entryway, Hallway (Navy Blue)

ONBRILL Shoe Cabinet with 4 Flip Drawers, Narrow Shoe Organizer with Symmetric Groove Pattern, Freestanding Wood Hidden Shoe Storage Cabinet for Entryway, Hallway (Navy Blue)

ASIN: B0FSLH3TWB
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
5.00
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are some legitimate-sounding reviews with specific details, the overall pattern is suspicious. Key findings: 1) All reviews are 5-star with overwhelmingly positive sentiment, 2) Multiple reviews use nearly identical phrasing about 'easy to assemble' and 'great quality', 3) Review R3OS16RSBBR4X3 appears to be a duplicate with different content, suggesting manipulation, 4) The first review (R9HC0YMLW2OV2) appears twice in the dataset, which is unusual, 5) Several reviews lack specific details about the product and read like generic positive feedback. However, some reviews do mention specific issues (shoe size limitations, damaged parts) which adds credibility.

Review Statistics

5
Total Reviews on Amazon
-0.90
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 (4.10 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 (5.00 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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