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)
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Review Analysis Results
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
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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.
