Genuine OEM 27301-2B110 Ignition Coil / 273012B110 for Hyundai Veloster 13-15 Kia Forte 14-16 Forte5 14-16
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Review Analysis Results
Analysis Summary
The reviews show a mix of legitimate and suspicious patterns. On the positive side, there's good product-specific detail (OEM part numbers 27301-2B110, specific vehicle models like Veloster Turbo, Forte 5 SX), consistent technical language, and realistic price comparisons. However, concerns include: review #1 appears duplicated (same reviewer ID RSNZ35PWKESQ0 with nearly identical text), all reviews are 5-star with no critical feedback, and several reviews follow similar structural patterns (price comparison + OEM verification + performance improvement). The verification rate appears normal with 'V' tags. The duplication and perfect rating pattern suggest some artificial boosting, but the technical specificity and varied writing styles indicate many genuine customer experiences.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (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 (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.
