Cpl Assets, LLC

Steven Ostrover

Jonathan Frederick Ripper

Henry H Varbedian

A computing system is configured to analyze historic data generated by an optimization system to provide recommended weightings for placement of creatives on publisher's pages. The weightings may be generated by providing forecasting the likelihood that a particular creative will lead to greater conversion or revenue compared to other creatives. The creatives may be grouped into one or more phases based on the amount of statistical data available for analyzing the particular creatives such that new creatives are given sufficient weighting to receive impressions despite the lack of historical data for a creative. Performance of placed creatives may be tracked by the passing of URLs with information attached to identify the particular creative and placement.

Systems, methods, and devices for optimizing advertisement placement

In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries. The computing devices are further configured to: using the model, determine a predicted enrollment rate for respective inquiry of the plurality of inquiries; determine an imputed revenue of the respective inquiry based at least in part on the predicted enrollment rate for the respective inquiry, the imputed revenue indicative of a potential revenue that can be generated from the respective inquiry; and adjust an allocation of presentation of the one or more programs among the plurality of online channels, the adjusting based at least in part on the determined imputed revenue of the respective inquiry.

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Los Angeles, CA, United States of America

Steven Ostrover