No7 Retinol Favorite Gift Set - Skincare Set Includes Retinol Night Repair Cream & Retinol Eye Cream - Visibly Smoothes, Plumps & Firms Complexion with Collagen Peptides + Shea Butter (2 Count)

No7 Retinol Favorite Gift Set - Skincare Set Includes Retinol Night Repair Cream & Retinol Eye Cream - Visibly Smoothes, Plumps & Firms Complexion with Collagen Peptides + Shea Butter (2 Count)

ASIN: B0DB6YMT2J
Analysis Date: Nov 9, 2025

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Review Analysis Results

D
Authenticity Grade
65.00%
Fake Reviews
5.00
Original Rating
3.40
Adjusted Rating

Analysis Summary

The analysis reveals significant indicators of inauthentic reviewing patterns across this product. Both reviews exhibit identical 5-star ratings with extremely brief, generic content lacking specific product details or usage context. The reviews show no variation in sentiment or depth, suggesting potential coordinated posting. While the sample size is small (2 reviews), the uniformity in rating (100% 5-star), similar vague phrasing ('great sample', 'seeing a difference'), and absence of any critical feedback create a pattern consistent with artificial boosting. The lack of verified purchase indicators in the provided data further reduces credibility.

Review Statistics

13
Total Reviews on Amazon
-1.60
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 (3.40 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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