Transparency
Our principles
and methodology.
How we score products and why independence matters.
Core Principles
No sponsored placements
No affiliate links or kickbacks
No brand partnerships affecting scores
100% independent data aggregation
How Scoring Works
Sift uses natural language processing to determine sentiment. We don't simply count keywords.
Our algorithm assigns weight based on context, source credibility, and consensus. A highly upvoted, detailed analysis carries more weight than a short, generic comment.
Scores reflect a composite of sentiment, ingredient quality, value for money, and reported experiences across multiple sources.
Platform Limitations
Not every product has enough data to form a score. If a product is too new or too niche, Sift will indicate insufficient data rather than guessing. Sentiment is also a snapshot in time and can change as products are updated, reformulated, or as new information emerges.