No7 Pure Retinol Eye Cream - Under Eye Cream for Wrinkles, Fine Lines & Puffiness with 0.5% Retinol - Infused with Shea Butter to Smooth and Hydrate Skin (0.5 Oz)

No7 Pure Retinol Eye Cream - Under Eye Cream for Wrinkles, Fine Lines & Puffiness with 0.5% Retinol - Infused with Shea Butter to Smooth and Hydrate Skin (0.5 Oz)

ASIN: B09HW2FZNG
Analysis Date: Nov 9, 2025 (re-analyzed Nov 9, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.20
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While many reviews appear genuine, there's a suspicious concentration of 5-star ratings (12 out of 16 reviews) with repetitive, generic language. Multiple reviews use identical phrasing about 'dark circles' and 'lines' improvement, suggesting potential coordination. The presence of several extremely brief reviews ('Good', 'Excellent, I recommend buying it') without substantive details is typical of fake review patterns. However, the mix includes legitimate-sounding reviews with specific usage details and some negative/neutral feedback, which balances the assessment. The 'V' verification status provides some credibility, but the repetitive language and rating distribution suggest potential manipulation.

Review Statistics

1,165
Total Reviews on Amazon
-0.90
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 (3.30 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 (4.20 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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