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Method and System for Using Website History to Predict Customer Behaviors Upon Entrance of a Venue

IP.com Disclosure Number: IPCOM000247229D
Publication Date: 2016-Aug-17
Document File: 4 page(s) / 158K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for predicting a customer behavior at a venue by using the customer’s browsing (website) history.

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Method and System for Using Website History to Predict Customer Behaviors Upon Entrance of a Venue

Usually, with the use of in-store beacons and Wi-Fi technology a deployer can track the movement of customers inside a store. Further, the information can be used by any insight applications to facilitate real-time customer interactions and also to track customer movements within the store. Many applications provide basic analytics based on the data tracked, such as dwell time, average length of stay, number of visitors, etc. However, from the data sensing technology, deployers have hard time deterministically evaluating abstract customer behaviors, such as directed vs. undirected shoppers.

Disclosed is a method and system for predicting a customer behavior at a venue by using the customer's browsing (website) history.

The method and system disclosed herein, captures and analyzes the customer website interactions. Thereafter, the method and system maps the analyzed customer interaction with physical venue location metadata. Subsequently, the customer location data in a venue is captured and analyzed. After, analyzing the interactions of a person moving through a venue to the customer's previous website interaction, the method and system predicts the customer behavior, such as directed vs. undirected shoppers.

In an implementation, when a customer is logged into a company's website and browses or searches for content, website analytics software is used to collect the information. The information includes metadata related to the items searched, pages visited and the customer's account information and stores the information in a database. Thereafter, the information gathered by the website analytics software can be shared with location tracking solutions. In an embodiment, the information would flow in the form of a feed from the website analytics software to the location tracking software through a connector or adapter to curate the information such that the information can be consumed by the location tracking software. Thereafter, the location tracking software stores the information from the...