Abstract: A computerized method for managing an artificially-intelligent platform to generate personas automatically from digital data includes the step of obtaining an analytics data set. The method includes the step of augmenting the analytics data set with additional context information provided by augmentation data, wherein the augmentation data comprises specified a set of external data sources and data models. The method includes the step of determining, with a specified machine learning algorithm, a set of behavioral insights from the augmented analytics data set. The method includes the step of automatically grouping a set of users of a web-application or web site based on their behavior, demographics, history of transactions, and psychographics. The method includes the step of generating a persona for each of the segment associated with a user of the set of user, wherein a segment is a group based on a user behavior, a user demographic, a user transactional history, a user psychographic attribute.

Abstract: In one aspect, method includes the step of receiving a request from a third-party website for information about a brand promoter. Another step includes receiving a context-based promotion from the brand promoter. Another step includes matching the context-based promotion with the context teen based on a similarity of the context term with the context-based promotion. Another step includes obtaining the context-based promotion from a context-based promotion database. Another step includes formatting the context-based promotion for display with a search result page of the third-party website, wherein the search result page comprises one or more listings of entities associated with the search key term. Another step includes instructing the third-party website to integrate the context-based promotion into a listing of a brand entity associated with the brand promoter on the search result page of the third-party website.