Crocs Women's Classic Platform Clog

Crocs Women's Classic Platform Clog

ASIN: B08914G83P
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.73
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific usage details (Disneyland, barber work), sizing discussions, and one legitimate 2-star review. However, concerning patterns include: duplicate reviews (R2PLPGP6SSCIEH and RU83F2BAA67N0 appear twice), one review that appears to be video metadata rather than actual review content (R1592XOLN5G7XJ), and several reviews with generic, repetitive praise about comfort and style. The high concentration of 5-star reviews (11 out of 13 unique reviews) with similar enthusiastic language raises moderate suspicion, though many contain enough specific details to appear genuine. The duplicates and one clearly non-review entry suggest some manipulation, but overall the majority appear to be from real customers.

Review Statistics

20,931
Total Reviews on Amazon
-0.63
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 (4.73 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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