Digital advertising platform with demand path optimization

A method for digital advertising, comprising:

• storing non-transitory machine readable code in at least one processor causing the at least one processor to configured to execute a plurality of functional modules comprising:
• a machine learning module configured to generate one or more prediction models to indicate a probability of success of a bid prediction for an analytics event created by a website visitor visiting a requested website, the machine learning module having a scheduler configured for periodically scheduling generation of model data sets and updating of model data sets in advance of generating the one or more prediction models and storing the model data sets in a data warehouse associated with the machine learning module;
• an analytics module configured to define the analytics event based on client attributes associated with the website visitor and the requested website;
• a management platform comprising a configuration module for receiving the bid prediction and generating one or more candidate configs based upon the bid prediction and pre-selected features of an advertisement;
• an optimization module configured for receiving the one or more candidate configs and applying weights and additional features to select a config from the one or more candidate configs and generate a plurality of optimized scripts using the selected config;
• and
• a deployment module configured for receiving the plurality of optimized scripts and deliver a selected script of the plurality of optimized scripts to the web site visitor.