SONGMICS Shoe Boxes, Pack of 12 Shoe Storage Organizers, Stackable Clear Plastic Boxes for Closet, Sneakers, 13.7 x 9.9 x 7.4 Inches, Transparent and White ULSP12MWT

SONGMICS Shoe Boxes, Pack of 12 Shoe Storage Organizers, Stackable Clear Plastic Boxes for Closet, Sneakers, 13.7 x 9.9 x 7.4 Inches, Transparent and White ULSP12MWT

ASIN: B084VGX9ZZ
Analysis Date: Sep 25, 2025 (re-analyzed Sep 25, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.40
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with mostly balanced feedback. Positive aspects include: natural variation in ratings (5-star to 1-star), specific product details about sizing and assembly, genuine user experiences with both praise and complaints, and consistent themes across reviews. However, some minor concerns include: slightly repetitive positive phrasing in some 5-star reviews, one review mentioning TikTok which could indicate incentivized reviewing, and duplicate reviews (R23Y1TMVL78YE3 and R3TZ5EX8S7C7WE appear twice). The 1-star and 2-star reviews appear authentic with detailed complaints about sizing and quality issues. Overall, the review set appears predominantly genuine with only minor suspicious elements.

Review Statistics

6,931
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.00 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 (4.40 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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