Patent ID: 11900407
Assignee: CAPITAL ONE SERVICES, LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 10:
11. The method of claim 1, wherein the NLG machine learning model comprises a cross opportunity machine learning model that generates cross opportunity intelligence information derived based on results of a plurality of machine learning models that provide channel intelligence information, time intelligence information, audience intelligence information, and content intelligence information; and
wherein the method further comprises:
performing, by the at least one computer, an audience personalization process including:
a first test stage comprising:
sending a test version of the initial digital message to a subset of the audience; and
collecting feedback data regarding reactions of subset of the audience-including how many members of the subset opened the message and how many members of the subset clicked through to conversion;

a second machine learning stage comprising:
training the NLG machine learning model the feedback data and user profile data;
generating a propensity prediction engine as a function of the training based on the feedback data;
predicting, by the propensity prediction engine, a likelihood of a member of the audience being engaged with a message; and
identifying additional members of the audience who are similar to the members of the subset of the audience who have engaged with the test version of the initial digital message sent in the first test;

a third audience recommendation stage comprising:
selecting, based on the additional members identified in stage two, an additional audience comprising a subset of users who have a higher propensity to engage with the initial digital message; and
sending the initial digital message to the recommended audience.