CLOCOR Track Suits for Women Set - Casual 2 Piece Outfits Sweatsuit Pocket Hoodies Long Sleeve with Patchwork Pants Set

CLOCOR Track Suits for Women Set - Casual 2 Piece Outfits Sweatsuit Pocket Hoodies Long Sleeve with Patchwork Pants Set

ASIN: B09BJVFXHG
Analysis Date: Oct 4, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.60
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: detailed sizing discussions with specific measurements (5'1 160lbs, 5'7 160 lbs), balanced rating distribution (mostly 5-star but with 3-4 star reviews present), and specific product feedback about material quality, fit, and washing instructions. However, concerning patterns include: multiple repetitive 5-star reviews with generic praise ('Great look and comfortable', 'So soft and comfortable'), some overly enthusiastic language that reads like marketing copy ('I'm amazed at the vibrant color', 'I will be buying more for family members as gifts'), and one review appears duplicated (R1GQJO2Z0URATI appears twice with identical content). The presence of verification tags and specific fit details suggests many reviews are legitimate, but the generic positive reviews and marketing-style language indicate some artificial boosting.

Review Statistics

3,085
Total Reviews on Amazon
-0.60
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 (4.00 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 (4.60 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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