Abstract: Data associated with one or more engagement events is generated for multiple users. The data associated with the one or more engagement events is aggregated for the users. Performance of one or more advertising campaigns is predicted based on the aggregated data.

Abstract: A method, a system, and an article are provided for acquiring new users of a client application. An example method includes: providing the client application to a group of users; obtaining data related to interactions between the client application and each user; providing the data to a predictive model configured to receive the data as input and provide as output a predicted value for each user; identifying a subset of users for whom the predicted value exceeds a predetermined threshold; for each user in the subset of users, providing an identification of the user to a new user finder; and providing the client application to a new group of users, wherein the new group of users was acquired through the new user finder based on the provided identification of the subset of users.

Abstract: A computer-implemented method and a system are provided for estimating values for user events associated with digital content presentations. An example method includes: providing data having a plurality of targeting features for a plurality of users of a software application; performing regression analyses to generate a first predictive model and a second predictive model, wherein the first predictive model is configured to receive targeting features as input and provide as output a prediction of an amount of revenue generated per payer, and wherein the second predictive model is configured to receive at least one targeting feature as input and provide as output a prediction of a number of payers per user event; using the first and second models to determine a value of a user event for a set of targeting parameters; and facilitating a presentation of content on a plurality of client devices based on the determined value.