Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.

Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.

Abstract: A computer system for providing attribution based on advertisement conversion data comprising a processing circuit configured to receive user interaction data, to determine that a conversion event has occurred based on the user interaction data and conversion criteria, to store conversion path data based on the user interaction data, wherein the conversion path data comprises user interaction data prior to and including the conversion event. The system attributes the conversion event to a channel in a conversion path using a plurality of different attribution models. At least one of the attribution models is a model other than a model based solely on a last click in the conversion path. The system receives cost data representing a relative or actual cost of a plurality of channels in the conversion path and generates report data comprising the first attribution data, the second attribution data and the cost data.

Abstract: A computer system for providing attribution based on advertisement conversion data comprising a processing circuit configured to receive user interaction data, to determine that a conversion event has occurred based on the user interaction data and conversion criteria, to store conversion path data based on the user interaction data, wherein the conversion path data comprises user interaction data prior to and including the conversion event. The system attributes the conversion event to a channel in a conversion path using a plurality of different attribution models. At least one of the attribution models is a model other than a model based solely on a last click in the conversion path. The system receives cost data representing a relative or actual cost of a plurality of channels in the conversion path and generates report data comprising the first attribution data, the second attribution data and the cost data.