Method and system for determining and monitoring brand performance based on paid expenditures

摘要

An interactive algorithm and sequential methodology dynamically that pulls numerous organic data sets from online social, search, sentiment and paid media sources against a weighted formulation to determine with statistical significance a brand's market performance and characterization defined as a “Brand Attraction Score” in real time against key competitors. Consumer and media behaviors are measured using billions of data signals from multiple API sources distributed downstream through a series of influence (I) and exposure (E) weighted formulations to a master algorithm to determine the net performance and attraction scores and ranking. These statistical sets are then conformed into a series of scores and rankings in a predetermined competitive set in an Exposure to Attraction coordinate system, thereby allowing a Brand to easily visualize their comparative Attraction among their competitor brands.