Patent ID: 8412656

Claim:
A method for building a consumer decision tree based on in-store purchase behavior analysis by the measurement of a set of consumer behavior metrics, comprising the following steps of: a) capturing a plurality of input images of consumers by at least a means for capturing images in a store area, b) processing the plurality of input images in order to analyze the behavior of the consumers, c) measuring decision activities of the consumers tied to product categories based on the behavior analysis, d) creating a plurality of datasets by accumulating the decision activities, whereby decision activity is measured based on the actual in-store purchase behavior of the consumers including interaction with products and travel paths to categories, as opposed to using intercepts or panels to develop them, and e) constructing a hierarchical decision tree structure, clustering the consumer behavior data based on the measurement of the decision activities by the consumers, which comprises nodes and edges, wherein a node represents in-store purchase behavior of the consumer, wherein the number of nodes is predefined, and wherein an edge represents the transition of the decision activities.