10PCS NTAG215 NFC Cards Blank NFC Tags RFID NFC Card NFC 215 Cards NFC Tag iPhone Compatible with Amiibo and TagMo for All Mobile Devices That Support NFC
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Review Analysis Results
Analysis Summary
The reviews show a mixed pattern with some legitimate characteristics but several concerning elements. Positive aspects include: detailed technical descriptions from users who clearly understand NFC technology, specific app mentions (NFC Tools, iOS Shortcuts), and genuine problem reports (wrong card type, missing instructions, short shipment). However, red flags include: extremely high 5-star concentration (12/16 reviews), several overly generic/vague 5-star reviews lacking substance, one review in Arabic that appears out of place, and multiple reviews with similar business use cases that could indicate coordinated promotion. The presence of legitimate negative reviews (wrong product type, missing items) suggests some authenticity, but the rating distribution is suspiciously skewed toward perfect scores.
Review Statistics
Price Analysis
This is a budget-oriented bulk pack of blank NFC 215 cards, suitable for hobbyists, developers, or Amiibo users. Since the current price is unknown, compare it against the typical $8-$25 range for similar 10-packs. Check recent reviews for quality consistency before purchasing, as lower-priced NFC tags can vary in reliability.
MSRP Assessment
Market Position
Buying Tips
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 (3.70 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 (4.33 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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