MiLocks TKK-02P Digital Door Knob Handle Lock with Electronic Keypad - Keyless Entry Smart Door Lock with Adjustable Latch Locks, Audible Tones for Interior Front Doors & More, Polished Brass

MiLocks TKK-02P Digital Door Knob Handle Lock with Electronic Keypad - Keyless Entry Smart Door Lock with Adjustable Latch Locks, Audible Tones for Interior Front Doors & More, Polished Brass

ASIN: B01HVAUZF6
Analysis Date: Oct 14, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.73
Original Rating
3.20
Adjusted Rating

Analysis Summary

The review set shows a mixed but mostly legitimate pattern. Positive aspects include: multiple verified purchase indicators ('V'), detailed long-term usage experiences spanning years, specific use cases (Airbnb management, daycare access), and balanced critical reviews discussing both pros and cons. However, some concerns include: repetitive 5-star reviews with similar Airbnb management themes, one review appearing twice (RYU47HNLXMJCU), and a few overly enthusiastic reviews that lack specific details. The rating distribution is realistic with 5-star (7), 4-star (4), 3-star (1), and 1-star (3) reviews, showing genuine product variation. The presence of critical reviews discussing quality decline and specific failures adds credibility to the overall review ecosystem.

Review Statistics

9,397
Total Reviews on Amazon
-0.53
Rating Difference

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 (3.20 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 (3.73 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.

Share This Analysis

Analyze Another Product

Check any Amazon product for fake reviews.

Start New Analysis

Learn More About Fake Reviews

Analyze new product