Determining targeting information based on a predictive targeting model

A system comprising:

• memory;
• at least one processor in communication with the memory and configured to execute a plurality of instructions stored in the memory to:
• receive targeting criteria, including a targeted behavior and a geographic region;
• segment the geographic region using a grid into cells, each cell having a cell identifier;
• receive behavioral information associated with a plurality of users, the behavioral information including time stamped place visit data corresponding to visits to places by the plurality of users;
• calculate a behavior match metric for each cell based on the behavioral information;
• receive feature data for each cell;
• label the feature data for each cell using the behavior match metric for the corresponding cell to obtain labeled feature data;
• train a model for predicting a conversion rate of each cell based on a set of the labeled feature data, the conversion rate providing a probability of a user in a cell performing the targeted behavior;
• apply the model to the feature data to predict the conversion rate of each cell;
• and
• identify targeting information based on the conversion rates of the cells.