发明名称 E-Commerce Consumer-Based Behavioral Target Marketing Reports
摘要 A system and methods which enable modeling of end consumer interests based on online activity and producing e-commerce reports is described. The method includes scoring and classifying interests and preferences of consumers in relation to various items being offered as function of time and utilizing such scores to predict purchasing activity and revenue yield for n-dimensional combinations of interest for generation of consumer lists for target marketing and merchandising. The method also includes converse modeling of the performance and behavioral profile of items offered as a function of consumer activity. This Abstract is provided for the sole purpose of complying with the rules that allow a reader to quickly ascertain the subject matter of the disclosure contained herein. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims.
申请公布号 US2014324537(A1) 申请公布日期 2014.10.30
申请号 US201414303235 申请日期 2014.06.12
申请人 Proclivity Media, Inc. 发明人 Gilbert Sheldon
分类号 G06Q30/02 主分类号 G06Q30/02
代理机构 代理人
主权项 1. A computer-implemented method for predicting purchasing patterns by modeling the interests of consumers in products based on exhibited online shopping activity, comprising the steps of: (a) collecting source data from a plurality of sources, wherein said source data includes at least clickstream data and order data for a plurality of customers; (b) aggregating, via a computing apparatus, said source data into a multi-dimensional, multi-resolutional, de-normalized interaction table; (c) deriving, via said computing apparatus, at least one materialized, n-dimensional customer score corresponding to at least one of said plurality of customers based on said multi-dimensional, multi-resolutional, de-normalized interaction table; (d) deriving, via said computing apparatus, at least one run-time, n-dimensional customer score corresponding to said at least one of said plurality of customers from said multi-dimensional, multi-resolutional, de-normalized interaction table; and (e) producing, via said computing apparatus, an e-commerce report, based on said at least one materialized, n-dimensional customer score and said at least one run-time, n-dimensional customer score, wherein said e-commerce report is used to determine the potential interests of consumers in products being offered online and said e-commerce report is accessible to a user.
地址 New York NY US