Patent ID: 11907969
Assignee: THE ROCKET SCIENCE GROUP LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A system for predicting a marketing outcome for a marketing asset, comprising:
at least one computing device to perform tasks comprising:
determining, for a marketing asset, at least one asset type of the marketing asset;
parsing the marketing asset into a plurality of segmented components, based on the at least one asset type, wherein at least one of the segmented components comprises an image segmented component;
for each segmented component of at least a subset of the plurality of segmented components:
selecting, from a plurality of machine learning models, a first predictive machine learning model corresponding to the segmented component of the plurality of segmented components to obtain a selected predicted machine learning model,
determining, for the segmented component and by the selected predictive machine learning model using the segmented component, at least one discrete marketing message conveyed by the marketing asset,
dividing the image segmented component into a plurality of sections,
providing each of the plurality of sections to an image predictive model from the plurality of machine learning models to generate a plurality of outputs,
combining the plurality of outputs into an aggregate prediction, and
determining, for the image segmented component, an additional discrete marketing message by the selected predictive machine learning model;

determining, for each of the at least one discrete marketing message and the additional discrete marketing message, at least one associated score indicating a relative emphasis of that discrete marketing message relative to other discrete marketing messages in the at least one discrete marketing message;
obtaining, by a trained predictive model using the at least one associated score as an independent variable as input, a predicted marketing outcome, wherein the trained predictive model was trained using training scores associated with a multitude of training discrete marketing messages as independent variables and corresponding training marketing outcome data as dependent variables; and
providing a recommendation associated with the predicted marketing outcome, wherein the recommendation includes at least one recommended alteration to text, image, audio, or video in the marketing asset to improve a likelihood of achieving a desired marketing outcome.