MARKETING INTEGRATION AND ANALYSIS PLATFORM

Abstract

A method includes receiving historical marketing data including historical creative assets and historical performance data associated with the historical creative assets. The method further includes processing the historical marketing data to identify input features associated with the historical creative assets. The method further includes using the identified input features and the historical performance data to train a machine learning model, thereby generating a trained marketing model conditioned to the input features and the historical performance data. The method further includes providing as an input to the trained marketing model, marketing data that includes at least one creative asset, a selection of a marketing channel for placement of the creative asset therein, and performance indicators for evaluating performance of the creative asset. The method further includes receiving, as an output from the trained marketing model, predicted values for the performance indicators upon placement of the creative asset on the marketing channel.

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