Systems, methods, and devices for determining predicted enrollment rate and imputed revenue for inquiries associated with online advertisements

A method comprising:

• accessing inquiry data indicating, for each of a plurality of online inquiries from users, wherein the inquiry data includes historical enrollment data associated with the inquiry;
• determining, based at least in part on the inquiry data, a first model for predicting enrollment rates of inquiries by testing a plurality of models of different model types;
• accessing updated historical enrollment data indicating updates to the historical enrollment data of at least one of the plurality of online inquiries;
• determining, based at least in part on the updated historical enrollment data and the first model, an updated model for predicting enrollment rates of inquiries;
• identifying one or more of the plurality of online inquiries received within a preconfigured time period;
• using the updated model to determine updated predicted enrollment rates for prior inquiries that were received within the preconfigured time period;
• accessing a new inquiry associated with a first user device;
• applying the updated model to determine a predicted enrollment rate for the new inquiry;
• initiating display updates for presenting at least one product, service, or program among a plurality of online delivery channels such that a new advertisement or a new online delivery channel is used based at least in part on the results of the updated model;
• and
• initiating delivery of the display updates to the user device associated with the accessed inquiry data.

A method comprising:

• accessing inquiry data indicating, for each of a plurality of online inquiries from users, wherein the inquiry data includes historical enrollment data associated with the inquiry;
• accessing, based at least in part on the inquiry data, a first model for predicting enrollment rates of inquiries;
• accessing updated historical enrollment data indicating updates to the historical enrollment data of at least one of the plurality of online inquiries;
• determining, based at least in part on the updated historical enrollment data and the first model, an updated model for predicting enrollment rates of inquiries;
• identifying one or more of the plurality of online inquiries received within a preconfigured time period;
• using the updated model to determine updated predicted enrollment rates for prior inquiries that were received within the preconfigured time period;
• accessing a new inquiry associated with a first user device;
• applying the updated model to determine a predicted enrollment rate for the new inquiry;
• initiating display updates for presenting at least one product, service, or program among a plurality of online delivery channels such that a new advertisement or a new online delivery channel is used based at least in part on the results of the updated model such that the new advertisement or the new online delivery channel yields an improved enrollment rate as compared to advertisements or online delivery channels used prior to application of the display updates;
• and
• initiating delivery of the display updates to the user device associated with the accessed inquiry data so that the first user device can present a user interface based at least in part on the display updates.