Brand-switching analysis using longitudinal tracking of at-shelf shopper behavior

Abstract

A method and system for analyzing shopper switching behavior over multiple shopping trips. Specifically, shopper behavior can be analyzed to generate a shopper behavior profile. Aggregating profile data across many shopping trips over time can then be used to generate analytics regarding the shopper's behavior regarding switching between products or brands and whether the shopper's purchase decisions occurred at-shelf or pre-shelf. Further, the data can be aggregated across many shoppers The analysis can then be used to make recommendations to manufacturers or retailers about how to influence shoppers to switch to a brand from a competitor, or to prevent a shopper from switching to a competitor. A deployment of cameras and mobile signal sensors can be utilized to recognize shoppers and track their behavior. Demographics information can also be estimated about the tracked shoppers. The visual and mobile signal trajectories can be fused to form a single shopper trajectory, then associated with Point of Sale (PoS) data. This results in a dataset describing the shopping trip for each tracked shopper.