In this episode of Seller Sessions, Danny McMillan and Oana Padurariu delve into Amazon's Cosmo, clarifying it as a common-sense knowledge graph rather than a traditional algorithm. They discuss Cosmo's role in connecting products with shoppers by analyzing vast data points to understand product usage and audience behavior. The discussion covers 15 key relationships Cosmo uses for optimization, distinguishing between product-specific and customer-specific relations, and provides examples of how to apply these to product listings. They differentiate between product types that benefit most from Cosmo optimization (problem-solving, versatile, and complementary products) versus those that see minimal impact (commodity products, highly technical B2B items), emphasizing that effective optimization requires a good product and continuous revision based on data.
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