System and method for matching purchase records to mobile devices

Abstract

A mobile device and sales transaction matching system matches sales records to a buyer operating a mobile device. The sales transactions are generated by point-of-sales system, The matching system defines a mobile data sphere for each mobile data point and a transaction sphere for each purchase record before determining whether they overlap or not. For each mobile data point, there is a list of corresponding overlapping transactions. Similarity function is created and applied to the two dimensional maps of overlapping transactions corresponding to a list of mobile data points of the mobile device. The application of the similarity function determines the transactions that are made by the buyer. Both the mobile data points and purchase records are public data. Each sphere indicates a physical distance and a time radius.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation application of co-pending U.S. patent application Ser. No. 14 / 990,964, entitled “SYSTEM AND METHOD FOR DETERMINING PURCHASE RECORDS OF MOBILE DEVICES TO PROVIDE EFFECTIVE MOBILE ADVERTISING,” filed Jan. 8, 2016, assigned to ADNOLI, LLC of Chicago, Ill., and which is hereby incorporated by reference in its entirety to provide continuity of disclosure.FIELD OF THE DISCLOSURE[0002]The present invention generally relates to a system and method for digital advertising, and more particularly relates to a system and method for mobile advertising. More particularly still, the present disclosure relates to a system and method for matching purchase history to mobile devices based on public data to provide more effective mobile advertising to the Internet connected mobile devices.DESCRIPTION OF BACKGROUND[0003]Advertising is a form of promoting and marketing products and services to potential buyers. With the rapid...

AI Technical Summary

Benefits of technology

[0018]Another object of this disclosure is to provide a system and method to match sales transactions to mobile devices of the corresponding purchasers, derive intelligence into the purchasers' consumption, provide targeted mobile advertising to the mobile devices based on the intelligence, and measure the effectiveness of the mobile advertising.

Problems solved by technology

However, due to various factors, mobile advertising is still not an effective marketing tool In response, targeted advertising onto mobile devices (such as smart phones, tablet computers, digital billboards, connected cars and watches, etc.) based on proprietary information has been proposed.

Such prerequisite information is not available in many other use cases.

However, the conventional methods for mobile advertising fail to obtain relevant, high-quality intelligence on consumers' past consumption to provide effective advertising onto their mobile devices and may result in spam, irrelevant or unwanted messages.

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