Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner by calculating brand scores for a set of competitive brand names over time and in different geographical territories through disparate mass media and digital media channels. The methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the exposure (spending) that use the brand in the media channels and the geographical territories over time. In embodiments, the brand score for a given brand can be calculated by transforming or filtering data representing positive and negative sentiment towards the given brand. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner by calculating brand scores for a brand name over time and in different geographical territories through disparate mass media and digital media channels. The methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the exposure (spending) that use the brand in the media channels and the geographical territories over time. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner summarize in a single score for a set of competitive brand names over time and in different geographical through different mass media and digital media channels (e.g., paid, earned, and owned media channels). In embodiments, the methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the expenditures (spending) made by the brand owner or agent with respect to advertisements and marketing materials or promotional material that use the brand in the different media channels over time and/or in the different geographical territories. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner summarize in a single score for a set of competitive brand names over time and in different geographical through different mass media and digital media channels (e.g., paid, earned, and owned media channels). In embodiments, the methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the expenditures (spending) made by the brand owner or agent with respect to advertisements and marketing materials or promotional material that use the brand in the different media channels over time and/or in the different geographical territories. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner by calculating brand scores for a set of competitive brand names over time and in different geographical territories through disparate mass media and digital media channels. The methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the exposure (spending) that use the brand in the media channels and the geographical territories over time. In embodiments, the brand score for a given brand can be calculated by combining influence factor scores and an exposure factor score using a set of weights derived from statistical modeling of brand performance in a brand category and relevant geographical territory. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner summarize in a single score for a set of competitive brand names over time and in different geographical territories through different media channels (e.g., paid, earned and owned media channels). In embodiments, the methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the expenditures (spending) made by the brand owner or agent with respect to advertisements and marketing materials or promotional material that use the brand in the different media channels over time and/or in the different geographical territories. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

Abstract: 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.

Abstract: 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.