US 11,856,156 B2
Method and artificial intelligence system for developing enhanced plans related to messaging across cross-screen media platforms
Michael Beach, Alexandria, VA (US); Peter Sheridan, Alexandria, VA (US); and Zhuoqi Du, Bellevue, WA (US)
Assigned to Cross Screen Media, LLC, Alexandria, VA (US)
Filed by Cross Screen Media, LLC, Alexandria, VA (US)
Filed on Apr. 18, 2022, as Appl. No. 17/723,113.
Claims priority of provisional application 63/175,682, filed on Apr. 16, 2021.
Prior Publication US 2022/0337896 A1, Oct. 20, 2022
Int. Cl. H04N 21/234 (2011.01); H04N 21/24 (2011.01); H04N 21/25 (2011.01); H04N 21/2543 (2011.01); H04N 21/262 (2011.01); H04N 21/44 (2011.01); H04N 21/442 (2011.01); H04N 21/258 (2011.01); H04N 21/81 (2011.01)
CPC H04N 21/25883 (2013.01) [H04N 21/23424 (2013.01); H04N 21/44224 (2020.08); H04N 21/812 (2013.01)] 12 Claims
OG exemplary drawing
 
1. 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 audience propensity dataset indicating a set of media consumption propensities associated with the set of audience members across the plurality of media platforms, the media platforms including a first set of media platforms and a second set of media platforms different than the first set of media platforms, content output by the first set of media platforms being monitorable by an organization, and content output by the second set of media platforms not being monitorable by the organization;
receive a pricing dataset indicating pricing information associated with the first set of media platforms at the region;
receive a viewing dataset indicating viewing information for the set of audience members using the first set of 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, based on the audience propensity dataset and the viewing dataset, and to counter sample bias associated with the viewing dataset, a set of weights;
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 media plan for deploying the advertisement campaign to the set of audience members based on the predicted viewership dataset, a tier dataset indicating a tier of media consumption for each media platform from the set of media platforms for each audience member from the set of audience members, and 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, 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.