What percentage of reviews are fake for this product?

28.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of C based on review authenticity analysis.

How many reviews were analyzed?

15 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 4.00 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

Is this product priced fairly on Amazon?

Based on AI price analysis, this product is Unable to compare.

How is this product positioned in the market?

This product is positioned as a Mid-range option in its category.

INFITTY Women's Off Shoulder Tops Casual Loose Batwing Sleeve Shirts Tunic Knit Oversized Pullover Sweater

Name: INFITTY Women's Off Shoulder Tops Casual Loose Batwing Sleeve Shirts Tunic Knit Oversized Pullover Sweater
Brand: Amazon
SKU: B0CSN6JJR2
Availability: InStock
Rating: 4.0 (15 reviews)

ASIN: B0CSN6JJR2

Analysis Date: Nov 18, 2025

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Review Analysis Results

Authenticity Grade

28.00%

Fake Reviews

4.60

Original Rating

4.00

Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a mix of genuine and potentially inauthentic reviews. Analysis reveals: 1) High verification rate (all reviews marked 'V') which is positive but can be manipulated; 2) Extreme rating skew with 12/15 reviews at 5-stars (80%) and only 2 negative reviews, creating an unnatural distribution; 3) Several reviews use overly enthusiastic, repetitive language and generic praise without specific details; 4) Multiple reviews mention 'soft material' and 'true to size' in similar phrasing patterns. However, the presence of authentic-sounding critical reviews (including sizing complaints and color discrepancies) and detailed personal experiences provides balance. The moderate fake percentage reflects that while some reviews appear promotional, there's enough genuine feedback to suggest legitimate product satisfaction.

Review Statistics

6,069

Total Reviews on Amazon

-0.60

Rating Difference

Price Analysis

This appears to be a well-reviewed mid-range women's knit top. Without the current Amazon price, focus on finding it below $35 for good value. Given the high rating volume, it's likely a reliable product in its category—wait for seasonal sales or use price tracking tools to secure the best deal.

MSRP Assessment

Estimated MSRP: $45-$65

Source: Product category average

Amazon Price: Unable to compare

Market Position

Positioning: Mid-range

Alternatives Range: $25-$80

Value: With strong ratings (4.6/5 from 6,069 reviews), this product likely offers good quality relative to its mid-range price point in the women's casual knitwear category.

Buying Tips

Best Time to Buy: Best prices typically in late winter/early spring (Feb-Apr) as retailers clear winter inventory, or during major sales events like Prime Day or Black Friday.

Deal Indicators: Look for prices below $35, coupon offers, lightning deals, or subscribe & save discounts; monitor price history for drops.

Watch For: Watch for inflated 'list prices' that make discounts appear larger than they are; verify sizing consistency across reviews.

Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Dec 1, 2025

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 (4.00 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 (4.60 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.