3DLAC spray adhesive for perfect adhesion to the 3D printer print bed, 400 ml
Review Analysis Results
Analysis Summary
The reviews show a moderately suspicious pattern with several legitimate characteristics but some concerning elements. Positive aspects include: detailed technical experiences with specific printers (Flashforge 5M Pro, Anycubic Mega Zero), mentions of material types (PLA, PETG, ASA, TPU), and comparisons to alternative methods (glue sticks, hairspray, tape). However, concerning patterns include: extremely high rating concentration (15/16 reviews are 5-star), multiple reviews using nearly identical phrasing about 'struggling with other methods then finding this product,' and some reviews that read like marketing copy rather than genuine user experiences. The presence of multiple languages (English, German, Italian) suggests broader authenticity, but the overwhelmingly positive tone without significant criticism raises suspicion of potential review manipulation.
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.
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Price Analysis
3DLAC is a well-reviewed mid-range adhesive in the 3D printing category. Given its strong rating, it likely offers good value if priced competitively within the £12-£30 range. Look for deals around £15 and verify seller authenticity before purchasing.
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 (4.20 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 (4.93 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.
