System for Improving Shape-Based Targeting By Using Interest Level Data

Abstract

A system for improving shape-based targeting by using interest level data is disclosed. According to one embodiment, a computer-implemented method comprises creating one or more trade zones, wherein creating a trade zone comprises grouping a set of parameters to deliver custom shapes, clustering the custom shapes according to offline data and geographic distribution of IP addresses, and mapping clusters of the custom shapes to IP addresses. Data indicating consumption of a content source is received, the content source having a plurality of tokens. The plurality of tokens is organized according to the one or more trade zones, wherein the one or more trade zones consume the tokens at a calculated rate and the calculated rate is analyzed to determine an interest associated with each trade zone. Targeting is based on a selected trade zone, wherein the selected trade zone is selected based upon a desired interest representative of a desired audience. A targeting request is transmitted including instructions or information associated with the target action, and the target action is performed.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]The present application is a continuation-in-part of U.S. patent application Ser. No. 12 / 789,731, entitled “SYSTEM FOR HANDLING MULTIPLE SIMULTANEOUS CAMPAIGNS THAT IMPROVES ADVERTISEMENT PERFORMANCE THROUGH SHAPE BASED TARGETING AND REAL-TIME IMPRESSION ACQUISITION,” filed on May 28, 2010, the disclosure of which is hereby incorporated by reference in its entirety.FIELD[0002]The field of the invention relates generally to computer systems. In particular, the present invention is directed to a system for improving shape-based targeting by using interest level data.BACKGROUND[0003]Ad serving describes the technology and service that places advertisements on web sites. Ad serving technology companies provide software and / or services to web sites and advertisers to serve ads, count them, choose the ads that will make the website the most money or the advertiser the best return, and monitor progress of different advertising campaigns.[0004]Ad...

AI Technical Summary

Benefits of technology

This approach allows for precise, real-time targeting of relevant audiences without the limitations of traditional methods, improving ad performance by reaching new users and reducing costs through probabilistic matching and deeper data analysis, while maintaining user privacy.

Problems solved by technology

Since the browser has to be seen online at some point before the ad request, behavioral targeting is limited by the number of sites that participate in the page tracking.

Contextual targeting is limited because it is targeting based on a single page's context.

Contextual targeting is not able to select its audience using parameters beyond general content and page keywords of the current page.

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