Systems and methods to identify taxonomical classifications of target content for prospective audience

A method to identify target taxonomical classifications of content based on a prospective audience and a taxonomy for pieces of content, the method comprising:

• obtaining, from electronic storage, classification information, profile information, and interaction information, wherein:
• the classification information defines individual taxonomical classifications of individual pieces of content, wherein the individual pieces of content are characterized by individual sets of content parameter values;
• the profile information defines psychological profiles for users of digital environments;
• and
• the interaction information characterizes interactions between the users and the individual pieces of content via the digital environments, wherein the interaction information includes movement information, the movement information defining individual changes in the individual pieces of content in the digital environments caused by individual user-controlled pieces of content and individual actions of the individual user-controlled pieces of content that caused the individual changes, wherein the individual user-controlled pieces of content include individual digital characters, wherein the individual changes include orientation change and/or displacement change;
• receiving, by one or more processors from individual client computing platforms associated with individual ones of the digital environments, individual audience definitions for individual prospective audiences of the individual ones of the digital environments, wherein the individual audience definitions include individual sets of psychological parameter values, such that an individual audience definition includes an individual set of psychological parameter values;
• identifying, by the one or more processors, sets of the users based on the psychological profiles and the individual audience definitions, such that an individual set of the users includes the users having one or more psychological parameter values indicated by an individual audience definition in common;
• correlating, by the one or more processors, individual combinations of content parameter values with the individual prospective audiences based on the interaction information associated with identified ones of the sets of the users;
• identifying, by the one or more processors, individual sets of prospective content for the individual prospective audiences based on the individual combinations of content parameter values, wherein individual pieces of prospective content correspond to the individual pieces of content having the individual taxonomical classifications stored in the electronic storage;
• and
• effectuating, by the one or more processors and via the individual client computing platforms, presentation of the individual sets of prospective content having the individual combinations of content parameter values.