The Reasons filter allows users to refine results by specific reasons that align with a brand’s infringement criteria. These reasons are fully customizable and can be set up by each brand to match their enforcement strategy.
The filter is divided into two categories:
• Post Reasons – Applied to text-based and listing-level signals
• Image Reasons – Applied to visual/image-based signals
This enables users to isolate the exact type of risk or detection trigger associated with a listing.
Post Reasons apply to textual, metadata, and listing-level elements such as descriptions, bios, account names, brand fields, and pricing. They help identify suspicious wording, misleading claims, or structured listing-level risk signals.
• Description – Trademark Alteration → Post description shows altered or misspelled brand name.
• Bio – Obvious Counterfeit Keyword → Seller bio contains clear counterfeit-related terms.
• Description – No Suspicious/Counterfeit Elements → Nothing suspicious detected in the description.
• Poster Name – Obvious Counterfeit Keyword → Account name includes counterfeit-related keywords.
• Description – Non-Collaboration → Claims collaboration that does not exist.
• All – No Brand/Incorrect Brand → Either no brand listed or a mismatched brand.
• Price – Suspiciously Low → Listing price is unusually low for the product category.
Use case:
Allows investigators to quickly isolate listings based on the exact textual or pricing trigger, whether they are investigating counterfeit language, impersonation, or pricing anomalies.
Image Reasons apply to visual signals detected in product images associated with a listing. They help identify physical counterfeit indicators or suspicious presentation patterns.
• Obvious Counterfeit → Visual indicators strongly suggest the product is counterfeit.
• Fake Packaging → Packaging appears inconsistent with authentic branding.
• Absent Logo → Expected brand logo is missing from the product.
• Loose Goods → Product shown without official packaging or retail presentation.
Use case:
Allows investigators to focus specifically on visual counterfeit signals, independent of textual description signals.
