Abstract: Devices, systems, and methods for consumer communication can include obtaining actual product traffic data concerning consumer products, applying a mixed model to determine an incremental product traffic value, and predicting as an output of a machine learning model, impending incremental product traffic based on the incremental product traffic values, and determining a ranking of each consumer product based on the impending incremental product traffic.

Abstract: Devices, systems, and methods for allocating consumer communications can include obtaining consumer activity data, designating a number of consumer communication campaigns concerning consumer features based on the consumer activity data, entering consumer activity data as inputs to one machine learning model for each determined consumer communication campaign, each machine learning model configured determine a campaign consumer activation profile based on the entered consumer activity data, and assigning the consumer communication campaigns to consumers based on the determined campaign consumer activation profiles.