Value model for sending notifications

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• send, through a communications network, sets of first notifications corresponding to a first notification type, wherein each of the sets of first notifications has a corresponding volume and is sent to a plurality of users, and the volumes corresponding to the sets of first notifications are different;
• send, through the communications network, sets of second notifications corresponding to a second notification type, wherein each of the sets of second notifications has a corresponding volume and is sent to a plurality of users, and the volumes corresponding to the sets of second notifications are different;
• determine visitation impacts of the sets of first and second notifications of the first and second notification types, respectively, wherein each of the visitation impacts is associated with one of the sets of first and second notifications and the volume corresponding to that set;
• train, based on the visitation impacts and the associated volumes, a machine-learning model to output assessments of the first and second notification types;
• determine, based on the assessments, a desired volume of a set of third notifications and a desired notification type for the set of third notifications, wherein the desired notification type is selected from the first notification type or the second notification type;
• and
• send, through the communications network, the set of third notifications.

A computer-implemented method comprising, by one or more computing devices:

• sending, through a communications network, sets of first notifications corresponding to a first notification type, wherein each of the sets of first notifications has a corresponding volume and is sent to a plurality of users, and the volumes corresponding to the sets of first notifications are different;
• sending, through the communications network, sets of second notifications corresponding to a second notification type, wherein each of the sets of second notifications has a corresponding volume and is sent to a plurality of users, and the volumes corresponding to the sets of second notifications are different;
• determining visitation impacts of the sets of first and second notifications of the first and second notification types, respectively, wherein each of the visitation impacts is associated with one of the sets of first and second notifications and the volume corresponding to that set;
• training, based on the visitation impacts and the associated volumes, a machine-learning model to output assessments of the first and second notification types;
• determining, based on the assessments, a desired volume of a set of third notifications and a desired notification type for the set of third notifications, wherein the desired notification type is selected from the first notification type or the second notification type;
• and
• sending, through the communications network, the set of third notifications.