Crocs Unisex Adult Work On The Clock Literide Slip-On Clogs

Crocs Unisex Adult Work On The Clock Literide Slip-On Clogs

ASIN: B088RPMWJV
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.31
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While most reviews appear genuine with specific details about fit, comfort, and work usage, there are notable red flags: 3 reviews contain non-English text (Polish and Japanese) which could indicate international review manipulation, 2 reviews are extremely brief ('Good!' and 'Hi dear') lacking substantive content, and there's a suspicious perfect 5-star pattern with 8/12 reviews being 5-star despite some mentioning fit issues. However, the presence of balanced negative reviews (1-star and 3-star), detailed descriptions of actual usage scenarios, and specific product feedback about squeakiness, sizing issues, and work environment performance suggest many reviews are legitimate. The verification badge 'V' appears on all reviews, but the language diversity and brief reviews raise moderate concerns.

Review Statistics

2,105
Total Reviews on Amazon
-0.61
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 (4.31 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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