Method and apparatus for television program promotion

• US 8,627,356 B2
• Filed: 03/01/2010
• Issued: 01/07/2014
• Est. Priority Date: 03/13/2009
• Status: Active Grant

• Current Assignee: Simulmedia Incorporated
• Original Assignee: Simulmedia Incorporated
• Inventors: Storan, Jeffrey, Angeles, Patrick, Morgan, Dave
• Primary Examiner(s): Ingvoldstad, Bennett
• Application Number:
  US12/714,937
• Publication Number:
  US 20100269134A1
• Time in Patent Office: 1,408 Days
• Field of Search: 725 32- 36
• US Class Current: 725/34
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25833 involving client hardware characteristics, e.g. manufacturer, processing or storage capabilities allocation of resources considering hardware capabilities in multiprogramming arrangements G06F9/5044; allocation of resources considering software capabilities in multiprogramming arrangements G06F9/5055
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A computer implemented method and apparatus for determining an optimal time and channel for delivery of television advertising content based on viewer profile information is disclosed. The method and apparatus provide for collecting viewer profile information for a viewer and storing it in a computer memory. Segments of viewers may be defined by viewer profile information thresholds in the computer memory. Viewers may be assigned to an audience segment based on a comparison of the viewer profile information thresholds with the collected viewer profile information. Information describing programs to be promoted, spots in which promotions for such programs may air, and geographic data also may be collected and stored. The computer may determine an optimal time and channel for delivery of the television advertising content to a selected audience segment based on the program to be promoted information, spot information and geographic data. The method and apparatus may be of particular use in determining optimal channels and times for promotion of a television program on a channel/network other than the channel/network on which the program is to air (i.e., cross-network promotion).

Claims

1. A computer implemented method of determining an optimal time and channel for delivery of television advertising content based on viewer profile information, comprising the steps of:

collecting viewer profile information for a viewer;

storing the viewer profile information in a computer memory;

storing a definition of one or more modal segments of viewers in terms of one or more viewer profile information thresholds in the computer memory;

assigning the viewer to one or more modal segments based on a computer implemented comparison of the one or more viewer profile information thresholds with the collected viewer profile information and determination of an attention value for the viewer, wherein the attention value is based on a TV View Duration index, a Channel View Duration index, a Genre View Duration index, a Guide Interactions per Time index, and a DVR Interactions per Time index;

determining with said computer an optimal time and channel for delivery of television advertising content based on viewer assignment to the one or more modal segments and the collected viewer profile information; and

providing a computer implemented display indicative of the determined optimal time and channel for delivery of the television advertising content.

2. The method of claim 1 wherein the step of assigning the viewer to one or more modal segments is further based on determination of an exploration utility value for the viewer.

3. The method of claim 2 wherein the exploration utility value is based on one or more indices selected from the group consisting of:

a Genre Familiarity index, a Program Familiarity index, a Channels Viewed index, a Genres Viewed index, and a Guide Interaction Duration index.

4. The method of claim 2 wherein the exploration utility value is based on a Genre Familiarity index, a Program Familiarity index, a Channels Viewed index, a Genres Viewed index, and a Guide Interaction Duration index.

5. The method of claim 1 wherein the step of collecting viewer profile information comprises collecting viewer attribute data selected from the group consisting of:

income, employment, race, ethnicity, age, gender, marital status, parental status, children in household, number of people in household, number of televisions, and television subscription data.

6. The method of claim 1 wherein the step of determining an optimal time and channel for delivery of television advertising content is further based on geographic data, wherein said geographic data comprises data selected from the group consisting of:

climate, population density, ethnic population quantity, ethnic population distribution, race population quantity, race population distribution, income distribution, age distribution, gender quantity, gender distribution, and marital status distribution data.

7. The method of claim 1 wherein the computer memory comprises a computer database.

8. The method of claim 1, further comprising the steps of:

determining the number of viewers assigned to the one or more modal segments in a geographic area;

determining geographic data relating to the viewers in the one or more modal segments in the geographic area; and

estimating with the computer a number of viewers to be associated with the one or more modal segments outside of the geographic area based on the number of viewers assigned to the one or more modal segments in the geographic area and the geographic data,

wherein the step of determining an optimal time and channel for delivery of television advertising content is further based on the estimating of the number of viewers to be associated with the one or more modal segments outside of the geographic area.

9. The method of claim 8, wherein the step of determining with said computer the optimal time and channel for delivery of television advertising content is based on a computer implemented estimate of the propensity of viewers in the one or more modal segments exposed to the television advertising content to tune in to a television program promoted by the television advertising content.

10. The method of claim 9, wherein the television program is a video-on-demand program.

11. The method of claim 9, wherein the computer implemented estimate of the propensity of viewers in the one or more modal segments to to tune in to the television program is based on the viewer profile information.

12. The method of claim 9, wherein the step of determining with said computer the optimal time and channel for delivery of television advertising content is based on a computer implemented estimate of a number of viewers in the one or more modal segments that will to tune in to the television program promoted by the television advertising content.

13. The method of claim 12, wherein the step of determining with said computer the optimal time and channel for delivery of television advertising content is further based on ranking a plurality of computer implemented estimates of the number of viewers, said ranking indicating the relative value of delivering the television advertising content at a particular time on a particular channel.

14. The method of claim 12, further comprising the step of re-ranking the computer implemented estimate of the number of viewers in response to an input received by said computer from a cable operator or a cable network provider.

15. The method of claim 1 wherein said television advertising content is a cross-network promotion.

16. The method of claim 6 wherein said television advertising content is a cross-network promotion.

17. The method of claim 8 wherein said television advertising content is a cross-network promotion.

18. A computer implemented method of determining an optimal time and channel for delivery of television advertising content based on viewer profile information, comprising the steps of:

collecting viewer profile information for a viewer;

storing the viewer profile information in a computer memory;

storing a definition of one or more modal segments of viewers in terms of one or more viewer profile information thresholds in the computer memory;

assigning the viewer to one or more modal segments based on a computer implemented comparison of the one or more viewer profile information thresholds with the collected viewer profile information and a determination of an attention value and an exploration utility value for the viewer, wherein the exploration utility value is based on a Genre Familiarity index, a Program Familiarity index, a Channels Viewed index, a Genres Viewed index, and a Guide Interaction Duration index;

determining with said computer an optimal time and channel for delivery of television advertising content based on viewer assignment to the one or more modal segments and the collected viewer profile information; and

providing a computer implemented display indicative of the determined optimal time and channel for delivery of the television advertising content.

19. The method of claim 18 wherein the step of collecting viewer profile information comprises collecting viewer attribute data selected from the group consisting of:

income, employment, race, ethnicity, age, gender, marital status, parental status, children in household, number of people in household, number of televisions, and television subscription data.

20. The method of claim 18 wherein the step of determining an optimal time and channel for delivery of television advertising content is further based on geographic data, wherein said geographic data comprises data selected from the group consisting of:

climate, population density, ethnic population quantity, ethnic population distribution, race population quantity, race population distribution, income distribution, age distribution, gender quantity, gender distribution, and marital status distribution data.

21. A computer implemented method of determining an optimal time and channel for delivery of television advertising content based on viewer profile information, comprising the steps of:

collecting viewer profile information for a viewer;

storing the viewer profile information in a computer memory;

storing a definition of one or more modal segments of viewers in terms of one or more viewer profile information thresholds in the computer memory;

assigning the viewer to one or more modal segments based on a computer implemented comparison of the one or more viewer profile information thresholds with the collected viewer profile information and a determination of an attention value and an exploration utility value for the viewer, wherein the attention value is based on one or more indices selected from the group consisting of;

a TV View Duration index, a Channel View Duration index, a Genre View Duration index, a Guide Interactions per Time index, and a DVR Interactions per Time index, and the exploration utility value is based on a Genre Familiarity index, a Program Familiarity index, a Channels Viewed index, a Genres Viewed index, and a Guide Interaction Duration index;

determining with said computer an optimal time and channel for delivery of television advertising content based on viewer assignment to the one or more modal segments and the collected viewer profile information; and

providing a computer implemented display indicative of the determined optimal time and channel for delivery of the television advertising content.