Oral-B iO3 Electric Toothbrush, 2 Toothbrush Heads, Pressure Sensor, Toothbrush for Adults with Travel Case, Gift Ideas for Him/Her, Matt Black, UK 2 pin plug
Oral-B iO3 Electric Toothbrush, 2 Toothbrush Heads, Pressure Sensor, Toothbrush for Adults with Travel Case, Gift Ideas for Him/Her, Matt Black, UK 2 pin plug : Amazon.co.uk: Health & Personal Care
Review Analysis Results
Analysis Summary
Analysis of 96 reviews across 2 chunks. Weighted fake percentage: 68%. Chunk consistency: high. Global patterns: Low verified purchase rate (0%). Most critically, 0% of reviews are verified purchases, which is highly unusual for legitimate product reviews.
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
The Oral-B iO3 sits in the competitive mid-range electric toothbrush market with strong reviews. Without the current Amazon price, I recommend monitoring for drops below £70 and checking competitor retailers like Boots or Argos for price matching opportunities. Given the high rating, this appears to be a well-regarded product in its category.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade F mean?
This product has severe review authenticity problems. A majority of reviews appear fake or manipulated. We strongly recommend finding alternatives.
Adjusted Rating Explained
The adjusted rating (3.00 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 (4.54 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.
