COMPOSITE PUBLISHER AUDIENCE PROFILES IN COMPREHENSIVE ADVERTISING CAMPAIGN MANAGEMENT AND OPTIMIZATION

• US 20140058826A1
• Filed: 08/27/2012
• Published: 02/27/2014
• Est. Priority Date: 08/27/2012
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: OGAWA, Stuart
• Application Number:
  US13/595,303
• Publication Number:
  US 20140058826A1
• Time in Patent Office: Days
• US Class Current: 705/14.43
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Techniques are provided in which advertiser target customer profile templates, publisher audience segment profile templates, and matching templates are generated, modified, stored, selected and utilized to efficiently optimize advertising campaigns. Techniques are provided in which elements of multiple publisher audience segment profile templates are combined to form a composite audience segment profile template which may be matched with an advertiser target customer profile template.

Claims

1. A method comprising:

using one or more computers, obtaining a first set of information comprising statistical information relating to advertisement campaign performance relating to multiple advertising campaigns and associated with each of multiple online advertising channels and each of multiple offline advertising channels;

using one or more computers, obtaining a second set of information comprising one or more objectives relating to an online and offline advertising campaign;

using or more computers, obtaining a third set of information comprising;

a set of multiple composite audience segment profiles, wherein each of the composite audience segment profiles comprises elements obtained from multiple publishers;

for at least one advertiser or proxy of an advertiser, one or more target customer profiles; and

one or more matching programs for matching one or more of the composite audience segment profiles with at least one of the one or more target customer profiles;

using one or more computers, utilizing at least one of the one or more matching programs to match at least one of the one or more composite audience segment profiles with at least one of the one or more target customer profiles; and

using one or more computers, based at least in part on the first, the second, and the third sets of information, generating and storing a set of allocations or allocation recommendations relating to optimization of the advertising campaign, wherein the set includes components relating to multiple online and offline channels.

2. The method of claim 1, comprising utilizing a composite audience segment profile engine in forming composite audience segment profiles or templates from multiple publisher audience segment profiles or templates.

3. The method of claim 1, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein the first composite audience segment profile comprises at least two audience segment profile elements, wherein each of the at least two elements is obtained from a different publisher.

4. The method of claim 1, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein an audience segment profile provides a profile relating to an audience of one or more publishers.

5. The method of claim 1, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein a composite audience profile includes aspects or portions of audiences of more than one publisher.

6. The method of claim 1, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein the first composite audience segment profile comprises at least two audience segment profile elements, wherein each of the at least two elements is obtained from a different publisher, and wherein the at least two audience segment profile elements include information identifying publisher audience aspects or portions, publisher audience subsets, or publisher audience reach.

7. The method of claim 1, comprising utilizing templates, and wherein a template comprises one or more data structures as well as information stored in the data structures.

8. The method of claim 1, comprising utilizing templates, and wherein a template comprises one or more forms, tools, or platforms for receiving information to be stored in one or more data structures.

9. The method of claim 1, wherein templates are user-customizable, user-modifiable and user-storable.

10. The method of claim 1, wherein the advertiser or the proxy of the advertiser can:

generate, store, and select from a library of advertiser-customized target customer profile templates relating to different target customer groups;

select, or modify and select, audience segment profile templates; and

select, or modify and select, matching programs or applications.

11. The method of claim 1, wherein a matching program is used in matching one or more selected audience segment profiles with one or more selected target audience profiles, and wherein the matching is used in generating the set of allocations or allocation recommendations.

12. The method of claim 1, comprising providing an advertiser with a graphical user interface view relating to a composite audience segment profile.

13. The method of claim 1, comprising utilizing the one or more matching programs to match at least one of the one or more composite audience segment profiles with at least one of the one or more target customer profiles, and wherein the matching is optimized relative to anticipated satisfaction of at least one of the objectives.

14. A system comprising:

one or more server computers coupled to a network; and

one or more databases coupled to the one or more server computers;

wherein the one or more server computers are for;

obtaining a first set of information comprising statistical information relating to advertisement campaign performance relating to multiple advertising campaigns and associated with each of multiple online advertising channels and each of multiple offline advertising channels;

obtaining a second set of information comprising one or more objectives relating to an online and offline advertising campaign;

obtaining a third set of information comprising;

a set of multiple composite audience segment profiles, wherein each of the composite audience segment profiles comprises elements obtained from multiple publishers;

for at least one advertiser or proxy of an advertiser, one or more target customer profiles; and

one or more matching programs for matching one or more of the composite audience segment profiles with at least one of the one or more target customer profiles;

utilizing at least one of the one or more matching programs to match at least one of the one or more composite audience segment profiles with at least one of the one or more target customer profiles; and

based at least in part on the first, the second, and the third sets of information, generating and storing a set of allocations or allocation recommendations relating to optimization of the advertising campaign, wherein the set includes components relating to multiple online and offline channels.

15. The system of claim 14, wherein at least one of the one or more server computers are coupled to the Internet.

16. The system of claim 14, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein the first composite audience segment profile comprises at least two audience segment profile elements, wherein each of the at least two elements is obtained from a different publisher.

17. The system of claim 14, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein an audience segment profile provides a profile relating to an audience of one or more publishers.

18. The system of claim 14, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein a composite audience profile includes portions or aspects of audiences of more than one publisher.

19. The system of claim 14, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein the first composite audience segment profile comprises at least two audience segment profile elements, wherein each of the at least two elements is obtained from a different publisher, and wherein the at least two audience segment profile elements include information identifying publisher audience aspects or portions, publisher audience subsets, or publisher audience reach.

20. A computer readable medium or media containing instructions for executing a method comprising:

using one or more computers, obtaining a first set of information comprising statistical information relating to advertisement campaign performance relating to multiple advertising campaigns and associated with each of multiple online advertising channels and each of multiple offline advertising channels;

using one or more computers, obtaining a second set of information comprising one or more objectives relating to an online and offline advertising campaign;

using or more computers, obtaining a third set of information comprising;

a set of multiple composite audience segment profiles, wherein each of the composite audience segment profiles comprises elements obtained from multiple publishers;

for at least one advertiser or proxy of an advertiser, one or more target customer profiles; and

one or more matching programs for matching one or more of the composite audience segment profiles with at least one of the one or more of target customer profiles;

using one or more computers, utilizing at least one of the one or more matching programs to match at least one of the one or more composite audience segment profiles with at least one of the one or more target customer profiles, comprising matching a first composite audience segment profile with a first target customer profile of a first advertiser, wherein the first composite audience segment profile comprises at least two audience segment profile elements, wherein each of the at least two elements is obtained from a different publisher, and wherein the at least two audience segment profile elements include information identifying publisher audience portions, publisher audience subsets, or publisher audience reach; and

using one or more computers, based at least in part on the first, the second, and the third sets of information, generating and storing a set of allocations or allocation recommendations relating to optimization of the advertising campaign, wherein the set includes components relating to multiple online and offline channels.