System and method for user-level lifetime value prediction

A system, comprising:

• one or more computer processors programmed to perform operations comprising:
• obtaining data comprising a history of interactions between a plurality of users and a client application on a plurality of respective client devices;
• developing, using the data, a first predictive model to predict a likelihood that a new user of the client application will be a payer;
• developing, using the data, a second predictive model to predict an amount of revenue generated by the new user of the client application;
• providing the client application to a plurality of new users;
• using the first predictive model and the second predictive model to predict the likelihood and the revenue for each new user in the plurality of new users;
• and
• adjusting, based on the predicted likelihood and the predicted revenue, a method of acquiring additional users of the client application.

An article, comprising:

• a non-transitory computer-readable medium having instructions stored thereon that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:
• obtaining data comprising a history of interactions between a plurality of users and a client application on a plurality of respective client devices;
• developing, using the data, a first predictive model to predict a likelihood that a new user of the client application will be a payer;
• developing, using the data, a second predictive model to predict an amount of revenue generated by the new user of the client application;
• providing the client application to a plurality of new users;
• using the first predictive model and the second predictive model to predict the likelihood and the revenue for each new user in the plurality of new users;
• and
• adjusting, based on the predicted likelihood and the predicted revenue, a method of acquiring additional users of the client application.