1. A method comprising collecting, by a store analytics system comprising a processor that executes a store analytics application, user information associated with a plurality of users located within a store premises, wherein the user information uniquely identifies each of the plurality of users as a customer of the store premises, and wherein the store premises comprises a plurality of aisles in which a plurality of items are located; collecting, by the store analytics system, user device information associated with a plurality of user devices associated with the plurality of users, wherein the user device information uniquely identifies each of the plurality of user devices; receiving, by the store analytics system, from a visual orientation system, estimated fields-of-view associated with the plurality of users, wherein each estimated field-of-view of the estimated fields-of-view is determined by the visual orientation system based upon an orientation of a user device of the plurality of user devices and a location of the user device of the plurality of user devices within the store premises, wherein the orientation of the user device is determined by the user device via an orientation sensor of the user device in response to the orientation sensor detecting that the user device has stopped within the store premises at a specific time, wherein the location of the user device is determined by the user device via a location component of the user device further in response to the orientation sensor detecting that the user device has stopped within the store premises at the specific time, and wherein each estimated field-of-view of the estimated fields-of-view identifies an aisle of the plurality of aisles and an item of the plurality of items in the aisle; determining, by the store analytics system, based upon the user information, the user device information, and the estimated fields-of-view, a commonality shared among at least two users of the plurality of users, wherein the commonality comprises each user of the at least two users of the plurality of users having the item of the plurality of items in an estimated field-of-view with the at least two users; and creating, by the store analytics system, a logical group, wherein the logical group comprises a group of customers of the store premises comprising the at least two users of the plurality of users that share the commonality.