NEW'C Pack of 3, Full Coverage Screen Protector for iPhone 17, iPhone 17 Pro, iPhone 16 Pro 6.3 inches [Auto-Installation], Black Edge Tempered Glass Film - Ultra Resistant
Review Analysis Results
Analysis Summary
This product shows strong indicators of review manipulation with a high percentage of suspicious 5-star reviews. The analysis reveals: (1) Extreme rating polarization with 83% 5-star reviews and 17% 2-star reviews, creating a classic 'J-curve' pattern common in manipulated review sets; (2) Multiple reviews reference non-existent iPhone models (iPhone 17 pro, iPhone 16 Pro) which is a known tactic in fake reviews; (3) Several reviews use nearly identical positive language about 'perfect fit' and 'easy installation' across different languages; (4) The 2-star reviews appear genuine but are dramatically outnumbered by highly positive reviews, suggesting potential review suppression; (5) Multiple reviews use excessive emojis and marketing-style language that reads like product descriptions rather than authentic user experiences.
Review Statistics
Price Analysis
This appears to be a budget-friendly screen protector option with the convenience of a 3-pack and auto-installation features. Given the unknown current price, UK consumers should compare against similar products in the £8-£25 range and look for prices around £12-£15 for good value. Check seller ratings carefully as pricing can vary significantly between third-party sellers on Amazon.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade D mean?
This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.
Adjusted Rating Explained
The adjusted rating (2.80 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 (4.14 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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