Self Adhesive Eyelashes 10-14mm Natural Self Adhesive Lash Clusters Wispy Press on Lashes No Glue Needed 120Pcs Pre Glued Lashes Clusters Reusable DIY Eyelash Extensions Kit with Tweezers, by Kmilro

Self Adhesive Eyelashes 10-14mm Natural Self Adhesive Lash Clusters Wispy Press on Lashes No Glue Needed 120Pcs Pre Glued Lashes Clusters Reusable DIY Eyelash Extensions Kit with Tweezers, by Kmilro

ASIN: B0F1LCM318
Analysis Date: Sep 24, 2025 (re-analyzed Sep 24, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
5.00
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show moderate signs of inauthenticity with several concerning patterns. While there is one genuine-sounding negative review (R38DD0FONW7JV1) that appears authentic due to its specific shipping damage complaint and imperfect grammar, the overwhelming majority of reviews are suspiciously similar 5-star ratings with nearly identical phrasing. Key concerns include: repetitive use of marketing terms like 'game-changer,' 'mess-free,' and 'beginner-friendly'; identical product feature descriptions across multiple reviews; and unnatural promotional language that reads like product descriptions rather than personal experiences. The duplicate reviews (R38DD0FONW7JV1 and R3GDHQOW7CKOFU appear twice) further undermine credibility. However, the presence of at least one authentic negative review prevents a higher fake percentage score.

Review Statistics

198
Total Reviews on Amazon
-1.00
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise 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 (5.00 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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