Systems and methods for updating creatives generation models

A system comprising:

• at least one memory containing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• receiving a request to generate a first email message, the request including an identifier of a first target;
• retrieving, from at least one database, information for the first target, using the identifier of the first target;
• applying at least a portion of the information to a machine learning model to generate a template recommendation;
• constructing the first email message using the template recommendation;
• and
• providing the constructed first email message.

A non-transitory computer readable medium containing instructions that, when executed by at least one processor of a system, cause the system to perform operations comprising:

• receiving a feedback indication concerning a first email message sent to a first target, the first email message constructed using a first template and associated with a first context, the feedback indication including an identifier of the first target;
• updating, in response to receiving the feedback indication, a feedback value for the first email message;
• updating, using the updated feedback data and the identifier, a machine learning model configured to recommend templates based on contexts;
• and
• constructing and providing a second email message using a second template recommended by the updated machine learning model for a second context.