Quick Audience Search and Recommendation Apparatus and Method

A computer-implemented method for recommending an audience for a marketing message, the method steps comprising:

• a. constructing an index table comprising a plurality of consumer behaviors and a matched set of consumer counts for each of a set of consumer segment values across each of the plurality of consumer behaviors;
• b. constructing an audience recommendation table comprising the plurality of consumer behaviors, for each of the plurality of consumer behaviors a subset of the set of consumer counts that have the highest propensity index for each such consumer behavior;
• c. storing the index table and audience recommendation table at a digital storage medium in communication with a server comprising a processor, wherein the process is configured to send and receive communications over a network from a client computing device;
• d. receiving at the processor a consumer behavior search term from the remote computing device;
• e. searching the audience recommendation table for consumer behaviors that match the consumer behavior search term, and identifying all matched consumer behaviors together with the subset of the set of consumer counts that have the highest propensity index for each such matched consumer behavior;
• and
• f. sending from the processor to the client computing device, in response to the consumer behavior search term, a plurality of matching consumer behaviors.

A computer system for recommending an audience for a product marketing communication, comprising:

• a. an audience recommendation table stored on a digital storage medium, wherein the audience recommendation table comprises a plurality of consumer behaviors, for each of the plurality of consumer behaviors a subset of a set of consumer counts, wherein the subset of the set of consumer counts comprise those counts that have the highest propensity index for each such consumer behavior;
• b. a media channel table stored on the digital storage medium that for each consumer segment value in the set of consumer segment values comprises a consumer record count for each of a plurality of media channels;
• c. an audience search routine stored on the digital storage medium and executable on a computer processor in communication with the digital storage medium, wherein the search routine is configured to receive as input an audience search term, search the audience recommendation table for consumer behaviors that match the audience search term, and return all matched consumer behaviors together with the subset of the set of consumer counts that have the highest propensity index for each such matched consumer behavior;
• d. a channel match routine stored on the digital storage medium and executable on the computer processor, wherein the channel match routine is configured to search the media channel table for each consumer segment value in the subset of the set of consumer counts for each matched consumer behavior returned by the audience search routine, and return the consumer record count for each of the plurality of media channels associated with that consumer segment value;
• and
• e. a display routine stored on the digital storage medium and executable on the computer processor, wherein the display routine is configured to receive from the audience search routine and send to a client device the matched consumer behaviors, the subset of the consumer counts that have the highest propensity index for each such matched consumer behavior, and further configured to receive from the channel match routine and send to the client device, for each of the consumer counts that have the highest propensity index for each such matched consumer behavior, the consumer record count for each of the plurality of media channels associated with the consumer segment value.