AJISH Luxurious Mattress Topper Double Bed 75X72 | 1200 GSM Super Soft Bed Topper Double Bed |3' Inch Hight | Sleep Comfort | Back & Nack Pain Relief | 4 Side Elastic Corner (Sky Blue, 6 X 6.25 Feet)

AJISH Luxurious Mattress Topper Double Bed 75X72 | 1200 GSM Super Soft Bed Topper Double Bed |3' Inch Hight | Sleep Comfort | Back & Nack Pain Relief | 4 Side Elastic Corner (Sky Blue, 6 X 6.25 Feet)

ASIN: B0B8VHLMSD
Analysis Date: Nov 2, 2025 (re-analyzed Nov 2, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.14
Original Rating
2.70
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include natural rating distribution (5 five-star, 3 four-star, 2 three-star, 6 one-star), varied review lengths, and specific complaints about product issues. However, concerning patterns include: 1) Several extremely brief 5-star reviews lacking detail ('This is peak', 'Good', 'Best in this price range') that appear formulaic, 2) Multiple 1-star reviews with similar complaints about thickness and quality issues, though these could be legitimate, 3) One review in Hindi mixed with English suggesting potential regional manipulation. The high proportion of verified purchases (14/15) lends credibility, but the polarized rating pattern (clustering at 5-star and 1-star extremes) and generic positive reviews indicate some artificial boosting may be occurring.

Review Statistics

232
Total Reviews on Amazon
-0.44
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 (2.70 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 (3.14 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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