Method and system for behavioral classification

• US 8,326,688 B2
• Filed: 01/27/2010
• Issued: 12/04/2012
• Est. Priority Date: 01/29/2009
• Status: Active Grant

• Current Assignee: Zeta Global Corp. (Zeta Global Holdings Corp.)
• Original Assignee: Collective Brands Incorporated
• Inventors: Harrison, Paul, Oliphant, James, Fulton, Hal, Roehrl, Armin, Grace, Brenden
• Primary Examiner(s): CHAMPAGNE, DONALD
• Application Number:
  US12/694,536
• Publication Number:
  US 20100228629A1
• Time in Patent Office: 1,042 Days
• Field of Search: 705/14.53, 705/14.66
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

A plurality of pages viewed by a communications network user (e.g., an Internet user) are classified as pertaining to one of a plurality of topics. A count of each of the pages viewed by the communications network user for each of the topics is tracked, as is a recency with which each of the pages viewed by the communications network user was viewed for each of the topics. The communications network user is characterized as belonging to one or more behavioral segments based on the count and the recency. Advertisements are served to the communications network user based on at least advertising targeting parameters and the characterization.

Claims

1. A system comprising:

one or more data repositories configured to store data comprising information classifying each of a plurality of pages viewed by a communications network user device as pertaining to one of a plurality of topics, wherein the one or more data repositories are remote from the user device;

one or more processors configured to receive information from the user device that enables the one or more processors to track a count of each of the pages viewed by the user device for each of the topics;

to track a recency with which each of the pages viewed by the user device was viewed for each of the topics; and

to characterize the user device as belonging to one or more behavioral segments based on the count and the recency;

wherein one or more advertising servers, in communication with the one or more processors over the communications network, are configured to serve one or more advertisements to the user device based on at least advertising targeting parameters and the characterization; and

wherein the one or more processors and the one or more data repositories are remote from the user device.

2. A computer-implemented method, wherein at least one processor is communicatively coupled to memory that stores at least one program and the at least one program, when executed by the at least one processor, causes the at least one processor to perform the method comprising:

storing in one or more data repositories data comprising information classifying each of a plurality of pages viewed by a communications network user device as pertaining to one of a plurality of topics;

receiving information from the user device that that enables tracking a count of each of the pages viewed by the user device for each of the topics;

tracking a recency with which each of the pages viewed by the user device was viewed for each of the topics; and

characterizing the user device as belonging to one or more behavioral segments based on the count and the recency;

wherein one or more advertisements are served to the user device, by one or more advertising servers in communication with the at least one processor over the communications network, based on at least advertising targeting parameters and the characterization, and

wherein the at least one processor and the one or more data repositories are remote from the user device.

3. A computer-readable storage medium having stored thereon instructions which, when executed by one or more processors, cause the one or more processors to perform a method comprising:

storing in one or more data repositories data comprising information classifying each of a plurality of pages viewed by a communications network user device as pertaining to one of a plurality of topics;

receiving information from the user device that enables tracking a count of each of the pages viewed by the user device for each of the topics;

tracking a recency with which each of the pages viewed by the user device was viewed for each of the topics; and

characterizing the user device as belonging to one or more behavioral segments based on the count and the recency;

wherein one or more advertisements are served to the user device, by one or more advertising servers in communication with the at least one processor over the communications network, based on at least advertising targeting parameters and the characterization; and

wherein the processor and the one or more data repositories are remote from the user device.