Cilrofelr Peel Off Lip Liner Stain, Long Wear Tattoo Lip Liner with Tweezer, Peel Off Lip Stain with Matte Finish, Long Lasting, Waterproof, Transfer-proof, Highly Pigmented Color (Rose)

Cilrofelr Peel Off Lip Liner Stain, Long Wear Tattoo Lip Liner with Tweezer, Peel Off Lip Stain with Matte Finish, Long Lasting, Waterproof, Transfer-proof, Highly Pigmented Color (Rose)

ASIN: B0CHJ8N324
Analysis Date: Oct 12, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.60
Original Rating
3.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity with some concerning patterns but overall appears to have legitimate user experiences. Key findings: 1) Rating distribution is polarized (40% 5-star, 20% 1-star, 30% 3-4 star) which is common for beauty products with variable results. 2) Several reviews contain specific usage details, personal circumstances (hospital worker, lip condition), and balanced critiques that suggest genuine experiences. 3) Concerning elements include one review explicitly denying paid status (often a red flag), some generic praise, and the TikTok reference which can indicate influencer-driven campaigns. 4) The detailed complaints about product drying out and performance issues across multiple reviews lend credibility to the negative feedback. Overall, while there are some suspicious elements, the majority of reviews appear to reflect real user experiences with a product that has inconsistent performance.

Review Statistics

2,859
Total Reviews on Amazon
-0.50
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 (3.10 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 (3.60 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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