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 method, a system, and an article are provided for developing and using a predictive model for analyzing and creating items of content. An example method includes: providing a plurality of items of content in which each item of content includes an image, a video, and/or a sound; extracting a plurality of features from each item of content; determining a performance indicator for each item of content, wherein the performance indicator provides an indication of user responses to presentations of the item of content; developing a model to predict the performance indicator for each item of content based on the plurality of features; based on the model, determining a sensitivity between the performance indicator and each feature; and developing a new item of content based on the determined sensitivities.

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.