Abstract: The present disclosure is directed toward systems and methods that allow users to efficiently and effectively create and identify segments of usage patterns. For example, systems and methods described herein allow marketers to query and return sequential segments including sequence conditions based on user-defined dimension item values. Furthermore, systems and methods described allow marketers to query and return sequential segments including sequential events based on user-defined dimension variables. In addition to the foregoing, systems and methods described herein allow marketers to query and return sequential segments defined by repeated events performed at given regularity or frequency.

Abstract: The present disclosure covers systems and methods for collecting and analyzing analytics data for a plurality of online user interactions and aggregating the analytics data to determine sentiment scores and generate a presentation of a path of interactions. For example, the systems and methods analyze the analytics data to identify attributes of the online user interactions and determine, based on the identified attributes, a sentiment score for each of the plurality of online user interactions. In addition, the systems and methods aggregate the plurality of online user online user interactions to identify an interaction path commonly experienced by the users of the interactions. Further, the systems and methods generate and provide an interactive presentation including a visualization of the interaction path and associated ranges of sentiment scores associated with types of online user interactions that make up the interaction path.

Abstract: Systems and methods are disclosed for generating a curated digital analytics workspace. In particular, in one or more embodiments, the disclosed systems and methods curate a digital analytics workspace based on a variety of factors to generate a curated digital analytics workspace capable of dynamically analyzing digital data elements. More specifically, one or more embodiments of the disclosed systems and methods limit data elements and/or analytics visualizations available in a digital analytics workspace based on user characteristics, data element features, or other factors to generate a curated digital analytics workspace. In this manner, the disclosed systems and methods can generate a curated digital analytics workspace that provides access to data elements and/or analytics visualizations targeted to the needs and capabilities of an individual or group while reducing confusion that often results from traditional analytics systems.

Abstract: The present disclosure covers systems and methods for collecting and analyzing analytics data for a plurality of online user interactions and aggregating the analytics data to determine sentiment scores and generate a presentation of a path of interactions. For example, the systems and methods analyze the analytics data to identify attributes of the online user interactions and determine, based on the identified attributes, a sentiment score for each of the plurality of online user interactions. In addition, the systems and methods aggregate the plurality of online user online user interactions to identify an interaction path commonly experienced by the users of the interactions. Further, the systems and methods generate and provide an interactive presentation including a visualization of the interaction path and associated ranges of sentiment scores associated with types of online user interactions that make up the interaction path.

Abstract: Systems and methods are disclosed for generating a curated digital analytics workspace. In particular, in one or more embodiments, the disclosed systems and methods curate a digital analytics workspace based on a variety of factors to generate a curated digital analytics workspace capable of dynamically analyzing digital data elements. More specifically, one or more embodiments of the disclosed systems and methods limit data elements and/or analytics visualizations available in a digital analytics workspace based on user characteristics, data element features, or other factors to generate a curated digital analytics workspace. In this manner, the disclosed systems and methods can generate a curated digital analytics workspace that provides access to data elements and/or analytics visualizations targeted to the needs and capabilities of an individual or group while reducing confusion that often results from traditional analytics systems.

Abstract: The present disclosure is directed toward systems and methods that allow users to efficiently and effectively create and identify segments of usage patterns. For example, systems and methods described herein allow marketers to query and return sequential segments including sequence conditions based on user-defined dimension item values. Furthermore, systems and methods described allow marketers to query and return sequential segments including sequential events based on user-defined dimension variables. In addition to the foregoing, systems and methods described herein allow marketers to query and return sequential segments defined by repeated events performed at given regularity or frequency.