Crocs Men's and Women's Ralen Clog | Comfortable Slip on Casual Water Shoes

Crocs Men's and Women's Ralen Clog | Comfortable Slip on Casual Water Shoes

ASIN: B081K33R5P
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.47
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include natural language variation across reviews, specific product details (colors like 'ballerina pink', 'blue'), and realistic complaints about odor and fit issues. However, several concerning patterns emerge: multiple reviews use generic, repetitive praise ('comfortable', 'true to size', 'love crocs') with minimal detail, and there's one exact duplicate review (R1FWXT961ZVXH0 appears twice with identical text). The 5-star rating distribution is heavily skewed (12 of 16 reviews are 5-star), though this is common for established brands like Crocs. The presence of multiple languages (English, Spanish, French, German) could indicate international sales but also raises questions about coordinated reviewing. Overall, while many reviews appear genuine, the duplicate content and generic nature of some 5-star reviews suggest some artificial boosting.

Review Statistics

5,797
Total Reviews on Amazon
-0.67
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 (3.80 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 (4.47 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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