Method and artificial intelligence system for developing enhanced plans related to messaging across cross-screen media platforms

An apparatus, comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processor configured to:
• receive a set of criteria for deploying an advertisement campaign to a set of audience members associated with a region, the set of audience members identified based on at least one first criterion from the set of criteria, and the at least one first criterion including an indication of the region;
• receive an audience propensity dataset associated with a plurality of media platforms, the audience propensity dataset indicating a set of media consumption propensities associated with the set of audience members across the plurality of media platforms, and the plurality of media platforms including an over-the-air broadcast TV media platform and a trackable TV media platform;
• receive a pricing dataset indicating pricing information associated with the over-the-air broadcast TV media platform at the region;
• receive a trackable TV viewing dataset indicating viewing information for the set of audience members using the trackable TV media platform;
• generate, based on the audience propensity dataset and the pricing dataset, an audience dataset indicating a set of attributes associated with the set of audience members;
• generate a set of weights (1) based on the audience propensity dataset and the trackable TV viewing dataset and (2) to counter sample bias associated with the trackable TV viewing dataset;
• generate, based on the audience dataset and the set of weights, a predicted viewership dataset indicating predicted media viewership information of the advertisement campaign for the set of audience members;
• generate a tier dataset based on at least one of (1) the audience propensity dataset, (2) the predicted viewership dataset, (3) the trackable TV viewing dataset, or (4) a first digital campaign dataset previously collected from a first plurality of devices associated with at least one first media platform from the plurality of media platforms, and
• for each media platform from the plurality of media platforms, the tier dataset indicating a tier of media consumption for that media platform for each audience member from the set of audience members;
• generate, based on a second digital campaign dataset previously collected from a second plurality of devices associated with at least one second media platform from the plurality of media platforms, a cost dataset indicating a set of costs associated with deploying the advertisement campaign in accordance with at least one second criterion from the set of criteria;
• generate a media plan for deploying the advertisement campaign to the set of audience members based on the predicted viewership dataset, the tier dataset for each media platform from the plurality of media platforms categories, and the cost dataset.

A non-transitory processor-readable medium storing code representing instructions to be executed by one or more processors, the instructions comprising code to cause the one or more processors to:

• receive a set of criteria for deploying an advertisement campaign to a set of audience members associated with a region, the set of audience members identified based on at least one first criterion from the set of criteria, and the at least one first criterion including an indication of the region;
• receive an audience propensity dataset associated with a plurality of media platforms, the plurality of media platforms including a trackable TV media platform;
• receive a trackable TV viewing dataset indicating viewing information for the set of audience members using the trackable TV media platform;
• generate, based on the audience propensity dataset, an audience dataset indicating a set of attributes associated with the set of audience members;
• generate a set of weights (1) based on the audience propensity dataset and the trackable TV viewing dataset and (2) to counter sample bias associated with the trackable TV viewing dataset;
• generate, based on at least one of the audience dataset and the set of weights, a predicted viewership dataset indicating predicted media viewership information of the advertisement campaign for the set of audience members;
• generate a tier dataset based on at least one of (1) the audience propensity dataset, (2) the predicted viewership dataset, (3) the trackable TV viewing dataset, or (4) a first digital campaign dataset previously collected from a first plurality of devices associated with at least one first media platform from the plurality of media platforms, and
• for each media platform from the plurality of media platforms, the tier dataset indicating a tier of media consumption for that media platform for each audience member from the set of audience members;
• generate, based on a second digital campaign dataset previously collected from a second plurality of devices associated with at least one second media platform from the plurality of media platforms, a cost dataset indicating a set of costs associated with deploying the advertisement campaign in accordance with at least one second criterion from the set of criteria;
• generate a media plan for deploying the advertisement campaign to the set of audience members based on the predicted viewership dataset, the tier dataset for each media platform from the plurality of media platforms categories, and the cost dataset, the media plan including a set of budget recommendations for the plurality of media platforms;
• and
• cause display of a representation of the media plan.