Inducing actions in consumer entities

Abstract

A system is provided for providing action inducers to target consumer entities. The system accesses transactions relating to actions involving a consumer entity and a provider entity. The system generates training data based on the transactions. The training data includes a feature vector for each consumer entity that includes values for features derived from the transactions involving that consumer entity and a provider entity. Each feature vector is labeled with an outcome that indicates whether a previously provided action inducer induced the consumer entity to take an action. The system trains a classifier based on the training data, generates a target feature vector for a target consumer entity, applies the classifier to the target feature vector to generate a predicted outcome for the target action inducer, and when the predicted outcome satisfies an inducement criterion, provides the target action inducer to the target consumer entity.