Methodology

How SKU research records are built

How the SKU research tool scores product risk, document burden, creator fit, source freshness, and manual-review states.

The methodology favors conservative, source-backed SKU research with explicit uncertainty when platform rules, supplier files, or claims need manual review.

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Policy and category sources
Document burden scoring
Creator fit signals
Freshness and confidence states

Review Notes

  • Inputs: Records combine category rules, official policy sources, supplier-file expectations, claim-sensitive phrases, fulfillment warnings, creator-demo fit, and basic margin assumptions.
  • Manual-review states: A SKU stays in manual-review mode when it is restricted, document-heavy, claim-sensitive, low confidence, stale, or dependent on policy interpretation. A cleaner score is not treated as a listing guarantee.
  • Maintenance approach: High-maintenance categories are assigned shorter review cadence. Source records include publisher, URL, retrieved date, reviewed date, and update cadence so stale assumptions are easier to find.

Research Links

Source directoryReview current source records. High-risk queueInspect sensitive SKU patterns. Privacy policyUnderstand data handling.
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Source Trail

Related Paths

Source directoryReview current source records. High-risk queueInspect sensitive SKU patterns. Privacy policyUnderstand data handling. SKU checkerReturn to the main research workflow.