Dynamic marketing asset generation based on user attributes and asset features

摘要

Marketing assets are automatically generated from asset components having asset features relevant to target users. Asset delivery event data regarding the delivery of marketing assets is initially collected to identify asset features of delivered marketing assets and user attributes of users receiving the marketing assets. The asset delivery event data is processed using machine-learning techniques to generate a model capable of selecting asset features given a set of user attributes. When a request for a new marketing asset is received for a particular user, user attributes of that user are identified and provided to the model to select a set of asset features. The asset features are used to select asset components, which are combined to form the new marketing asset.