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Abstract

A method for analyzing consumer behavior within a retail space can include receiving data associated with consumers in communications signals from local devices located in the retail space, where the local devices receive some of the data in visible light communication (VLC) signals broadcast by electrical devices, where each local device is associated with one of the consumers in the retail space at a point in time, and where the data lacks information that identifies the consumers. The method can also include attributing, by the controller using a multi-stage clustering process, the data to discrete consumers for a period of time that includes each point in time. The method can further include assigning the discrete consumers to at least one of a number of groups defined by one or more characteristics measured from the data, where the discrete consumers within a group share a common characteristic.

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First Claim