How SiftScore Works in Practice
Oct 25, 2026 · 2 min read · methodology · scoring
How SiftScore Works in Practice
Every score on TrustSift is produced by a published formula — not by an editor's opinion. This article walks through the exact calculation with a concrete example so you can verify any score yourself.
The five components
A product starts with five component scores, each clamped between 0 and 100:
- Value (25%) — price compared to the category median, plus the refund window.
- Trust & legitimacy (25%) — documented refund policy, minus red flags.
- Evidence (20%) — published ingredient lists and cited study evidence.
- Market reception (15%) — marketplace gravity and the latest known rating.
- Transparency (15%) — price, refund and description clearly published, minus red flags.
The unknown-data rule
The most important rule: unknown data sits at a neutral 50 — it never boosts and never penalizes. A product with zero verified data scores exactly 50.0, and the page says "unknown" instead of guessing.
A worked example
Take a product priced at $49 in a category with a median of $50, offering a 60-day refund, with one published ingredient:
- Value: base 50. Price is within ±30% of the median (+20). Refund of 60 days (+10). Value = 80.
- Trust: base 50. Refund documented (+20). No red flags. Trust = 70.
- Evidence: list published (+20) + one named ingredient (+5) = 25.
- Market: no gravity or rating data → neutral 50.
- Transparency: price (+20), refund (+20), description (+10) = 100.
Total = 0.25×80 + 0.25×70 + 0.20×25 + 0.15×50 + 0.15×100 = 65.0.
How red flags change the math
Each red flag (fake countdowns, auto-ship clauses, hidden subscriptions…) removes 15 points from Trust and 10 from Transparency. One flag turns a 65.0 into a 59.8; two flags flip a legitimacy verdict to avoid.
Try it yourself
Open the methodology page — it renders the same constants the scoring engine uses, with a live worked example computed from real current data.
Reviewed by TrustSift Research Team
Data verification, affiliate marketplace research, product comparison methodology
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