Amazon Listing Traffic Structure Analyzer
Analyzes Amazon listing variations to break down organic and paid traffic shares across SP, SB, and SBV ad channels.
The Amazon Listing Traffic Structure Analyzer connects Claude to the Wenmai SIF standard API to dissect the traffic distribution across product variations within an Amazon listing. It queries and reports each variation's precise traffic score and percentage breakdown across organic search, Sponsored Products (SP), Sponsored Brands (SB), and Sponsored Brands Video (SBV). Ideal for cross-border e-commerce sellers, media buyers, and catalog managers, this skill provides traceable, raw gateway metrics to optimize Amazon PPC allocation and evaluate variation performance without manual data compilation.
Key Features
01Calculates traffic scores and proportions across Organic, SP, SB, and SBV channels
023 GitHub stars
03Returns traceable, unmanipulated gateway data with strict schema validation
04Deconstructs Amazon listing traffic across individual child variations
05Executes standardized API queries against the Wenmai SIF cross-border gateway
06Validates environment credentials, rate limits, and market-specific query parameters
Use Cases
01Identifying top-performing child ASINs driving Sponsored Products and Sponsored Brands video traffic
02Auditing variation-level ad spend efficiency against organic search contribution on multi-variation listings
03Conducting competitor ASIN traffic breakdowns to uncover category PPC strategies