LEAD ACQUISITION, PROMOTION AND INVENTORY MANAGEMENT SYSTEM AND METHOD

• US 20100235231A1
• Filed: 05/26/2010
• Published: 09/16/2010
• Est. Priority Date: 01/30/2009
• Status: Abandoned Application

• Current Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Original Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Inventors: MARZETTA, Don J., CORDEIRO, Mark W., POTTER, John F., OSBORNE, Paul D., JEWER, Christopher M.
• Application Number:
  US12/787,766
• Publication Number:
  US 20100235231A1
• Time in Patent Office: Days
• US Class Current: 705/14.410
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

A lead acquisition, promotion and inventory management system and method are described that optimize the delivery and revenue of cost per acquisition (CPA) advertising programs, while implementing user targeting techniques to reach interested potential consumers. Clients, such as advertisers, can create a program to be implemented. Based on the program information, a number of leads is calculated that can be collected. The leads are generated by targeting and selecting qualified users from a user pool, and determining if they are compliant with the requirements of the program. Compliant leads are then allocated and delivered to the client.

Claims

1. A computer-implemented method for managing a lead acquisition advertising system, the method comprising:

receiving information about a program from a client;

determining a number of leads that can be collected based upon the program information;

assigning a relative promotional weight to the program;

generating leads by comparing program requirements to one of more user profiles, and selecting a program based on the assigned relative promotional weight, wherein at least one user profile includes taxonomic nouns identified from a document a user accessed;

determining compliance of the one or more leads with the program information, and if the leads are compliant, allocating the leads; and

delivering the allocated leads to the client.

2. The computer-implemented method of claim 1, wherein the program information includes one or more factors selected from the group consisting of qualified registration filters, custom registration questions, topic of vendor assets, and number of vendor assets available for promotion.

3. The computer-implemented method of claim 2, wherein the factors are weighted based on historical experience with other programs of at least one of the same type and the same topic.

4. The computer-implemented method of claim 1, further comprising modifying the number of leads based on one or more additional factors.

5. The computer-implemented method of claim 4, wherein the additional factors are selected from the group consisting of a current number of competing offers, historical delivery data, available site traffic, and newsletter capacity.

6. The computer-implemented method of claim 1, wherein the relative promotional weight is assigned based on at least one of remaining time the program is active, required number of leads remaining, number of user engagements since the program began, and required number of days to collect leads that have not previously been collected.

7. The computer-implemented method of claim 6, wherein the relative promotional weight is assigned periodically.

8. The computer-implemented method of claim 1, wherein the relative promotional weight is assigned manually.

9. The computer-implemented method of claim 1, wherein the program information includes advertiser criteria.

10. The computer-implemented method of claim 1, wherein the step of determining compliance of the one or more leads with the program information further includes analyzing the one or more leads to determine compliance with basic data integrity criteria.

11. The computer-implemented method of claim 1, further comprising de-allocating leads if they are not compliant.

12. The computer-implemented method of claim 11, further comprising:

comparing data points of the de-allocated leads with data collected by third-party data sources;

enriching the de-allocated leads with the third-party data; and

allocating the de-allocated leads.

13. The computer-implemented method of claim 1, further comprising:

determining performance of the allocated leads; and

reporting the performance to the client.

14. The computer-implemented method of claim 13, wherein the performance is determined based on at least one of how many leads have been delivered, which leads are at risk of not being fulfilled, and how much revenue is in danger of being lost.

15. The computer-implemented method of claim 13, further comprising creating one or more alerts based on the performance of the allocated leads.

16. The computer-implemented method of claim 1, wherein the one or more user profiles further includes user behavior characteristics indicative of actions taken by the user.

17. The computer-implemented method of claim 1, wherein the one or more user profiles further includes demographic nouns identified from user registration information.

18. The computer-implemented method of claim 1, wherein the taxonomic nouns are identified from at least one of author-generated tags, user-generated tags, search terms, access attributes, and significant topics, of the document.

19. The computer-implemented method of claim 18, wherein the access attributes include at least one of network type, referrer, and access time.

20. A lead acquisition advertising system, the system comprising:

a program entry and approval module configured to receive information about a program from a client and determine a number of leads that can be collected based upon the program information;

a promotion calculation module configured to assign a relative promotional weight to the program;

a user targeting module configured to generate leads by comparing program requirements to one or more user profiles, and selecting a program based on the assigned relative promotional weight, wherein at least one user profile includes taxonomic nouns identified from a document a user accessed;

a lead allocation and enrichment module configured to determine compliance of the one or more leads with the program information, and if the leads are compliant, allocating the leads; and

a lead delivery module configured to deliver allocated leads to the client.

21. The system of claim 20, wherein the program information includes one or more factors selected from the group consisting of qualified registration filters, custom registration questions, topic of vendor assets, and number of vendor assets available for promotion.

22. The system of claim 21, wherein the factors are weighted based on historical experience with other programs of at least one of the same type and the same topic.

23. The system of claim 20, wherein the promotion calculation module is further configured to modify the number of leads based on one or more additional factors.

24. The system of claim 23, wherein the additional factors are selected from the group consisting of a current number of competing offers, historical delivery data, available site traffic, and newsletter capacity.

25. The system of claim 20, wherein the relative promotional weight is assigned by the promotion calculation module based on at least one of remaining time the program is active, required number of leads remaining, number of user engagements since the program began, and required number of days to collect leads that have not previously been collected.

26. The system of claim 25, wherein the relative promotional weight is assigned periodically.

27. The system of claim 20, wherein the relative promotional weight is assigned manually.

28. The system of claim 20, wherein the program information includes advertiser criteria.

29. The system of claim 20, wherein the lead allocation and enrichment module is further configured to analyze the one or more leads to determine compliance with basic data integrity criteria.

30. The system of claim 20, wherein the lead allocation and enrichment module is further configured to de-allocate leads if they are not compliant.

31. The system of claim 30, wherein the lead allocation and enrichment module is further configured to:

compare data points of the de-allocated leads with data collected by third-party data sources;

enrich the de-allocated leads with the third-party data; and

allocate the de-allocated leads.

32. The system of claim 20, further comprising a program management and reporting module configured to determine performance of the allocated leads and report the performance to the client.

33. The system of claim 32, wherein the performance is determined based on at least one of how many leads have been delivered, which leads are at risk of not being fulfilled, and how much revenue is in danger of being lost.

34. The system of claim 32, further comprising a lead delivery monitoring module configured to create one or more alerts based on the performance of the allocated leads.

35. The system of claim 20, wherein the one or more user profiles further includes user behavior characteristics indicative of actions taken by the user.

36. The system of claim 20, wherein the one or more user profiles further includes demographic nouns identified from user registration information.

37. The system of claim 20, wherein the taxonomic nouns are identified from at least one of author-generated tags, user-generated tags, search terms, access attributes, and significant topics, of the document.

38. The system of claim 37, wherein the access attributes include at least one of network type, referrer, and access time.