The data for this presentation on Amazon's Coffee, Tea & Cocoa category was drawn from an automated, daily analysis of top keywords in the Amazon L3 coffee, tea & cocoa category over a one-year period.
Our method focused on 1P brands and their associated SKUs. Marketing performance was determined by analyzing Share of Voice which essentially divides how many times a brand appears in search results, by the total available slots in the search results. Our system looked at both organic and paid ads for the top keywords discovered for the coffee, tea & cocoa category on Amazon. Our system focused on page 1 search results and the product page for each SKU. Each appearance of the brand in organic search and paid ad slots was given equal weighting. Revenue Leakage was determined by an algorithm that analyzes inventory availability of the SKUs on the product page and translates that into estimated revenue missed for each brand due to things like a SKU being Currently Unavailable, Inventory Encumbrance, Item Under Review, a 3P seller taking the buy box, etc.