SCINIC Enjoy Super Mild Sun Essence 2 Set SPF50+ PA++++ 1.69 fl oz(50ml) | A Lightweight Hydrating Sun Essence That leaves No Sticky Feeling | Korean Skincare

SCINIC Enjoy Super Mild Sun Essence 2 Set SPF50+ PA++++ 1.69 fl oz(50ml) | A Lightweight Hydrating Sun Essence That leaves No Sticky Feeling | Korean Skincare

ASIN: B0BZCDC1ZG
Analysis Date: Sep 17, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.88
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show generally authentic characteristics with some minor concerns. Most reviews demonstrate specific, detailed experiences with the product (texture, skin type compatibility, long-term usage), appropriate verification badges, and natural variation in writing styles. The one 4-star review adds credibility to the rating distribution. However, there are some minor red flags including repetitive praise phrases ('no white cast' appears multiple times), one review mentioning price comparisons with competitors which could indicate subtle promotional intent, and the overall extremely positive sentiment (six 5-star reviews out of seven). The product appears to be legitimate with a small percentage of potentially incentivized or overly enthusiastic reviews.

Review Statistics

380
Total Reviews on Amazon
-0.48
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 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 (4.88 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product