Method for determining, correlating and examining the causal relationships between media program and commercial content with response rates to advertising and product placement

• US 8,249,912 B2
• Filed: 02/20/2008
• Issued: 08/21/2012
• Est. Priority Date: 02/20/2008
• Status: Active Grant

• Current Assignee: Sebastian Elliot
• Original Assignee: Sebastian Elliot
• Inventors: Elliott, Sebastian, Takiff, Jonathan
• Primary Examiner(s): Sterrett, Jonathan G
• Application Number:
  US12/070,747
• Publication Number:
  US 20090210290A1
• Time in Patent Office: 1,644 Days
• Field of Search: 705/7.29
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

A method of determining correlations and causality between media program content and consumer responsiveness involves identifying and storing media and commercial program time occurrence and content information and consumer media reviewing actions which occur in connection with the media and commercial program time occurrence and content information. The information is correlated to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of the media and commercial program time occurrence and content information. These responsiveness probability values are then applied to a second media program to place product advertising at a specific time within specific content therein as determined by the responsiveness probability values thus facilitating creation of new ads and modification of existing ones and further, directing placement of those advertisements within any and all broadcast and Internet media programming.

Claims

1. A method of determining correlations and causality between media program content and consumer responsiveness comprising the steps;

providing a computer having a processor, software, a first database and a second database;

identifying the occurrence of program elements and product placement elements at specified time intervals within a first episode of a serialized media program with the computer via the software;

storing the occurrence of program elements and product placement elements at specified time intervals within the first episode of a serialized media program in the first database;

detecting consumer media reviewing actions in connection with said program elements and product placement elements within the first episode of a serialized media program via consumer media reviewing detector means operative to selectively detect consumer media reviewing actions;

storing consumer media actions in connection with said program elements and product placement elements within the first episode of a serialized media program in the second database;

correlating said program elements and product placement elements within the first episode of a serialized media and said consumer media reviewing actions by the processor to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said program elements and product placement elements; and

utilizing said responsiveness probability values in connection with said program elements and product placement elements to obtain determinable probabilities of creating responsiveness among persons receiving said media content, whereby said probabilities are graphically represented.

2. The method of claim 1 further comprising the step of applying said responsiveness probability values to program elements and product placement elements in a second media program to predict consumer media reviewing actions in response to said program elements and product placement elements in said second media program.

3. The method of claim 2 further comprising placing an advertisement within said second media program at a specific time within specific content therein as determined by said application of said responsiveness probability values to said program elements and product placement elements in said second media program.

4. The method of claim 1 wherein said specified time intervals is every second.

5. The method of claim 4 wherein said consumer media reviewing actions are collected via at least one of a set-top box manufacturer, cable service operator and advertiser operative to monitor and record viewer viewing habits including response rates to interactive prompts.

6. The method of claim 1 wherein said step of correlating said program elements and product placement elements and said consumer media reviewing actions to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response further comprises examining the positive and negative viewer responses and the intensity of those positive and negative viewer responses to each of said program elements and product placement elements, then assigning a percentage value between 0% and 100% as said responsiveness probability value corresponding to said consumer media reviewing actions thereby assigning a probability value to each element whereby probability of creating responsiveness among certain groups is mathematically represented.

7. The method of claim 1 wherein said step of applying said responsiveness probability values to program elements and product placement elements in a second media program further comprises examining each of said program elements and product placement elements in the second media program, applying the responsiveness probability value corresponding to each of said program elements and product placement elements in the second media program thereto and calculating a total expected responsiveness probability value by adding each of said applied responsiveness probability values whereby the expected probability of creating responsiveness among certain groups in response to the second media program is mathematically represented.

18. The method of claim 1 further comprising correlating said timing of program elements and product placement elements with said consumer media reviewing actions.

19. The method of claim 1 further comprising correlating said program elements and said timing of product placement elements with said consumer media reviewing actions.

8. A method of determining correlations and causality between media program content and consumer responsiveness comprising the steps;

providing a computer having a processor, software, a first database and a second database;

identifying the occurrence of program elements and product placement elements at specified time intervals within a first episode of a serialized media program with the computer via the software;

storing the occurrence of program elements and product placement elements at specified time intervals within the first episode of a serialized media program in the first database;

detecting consumer media reviewing actions in connection with said program elements and product placement elements within the first episode of a serialized media program via consumer media reviewing detector means operative to selectively detect consumer media reviewing actions;

storing consumer media actions in connection with said program elements and product placement elements within the first episode of a serialized media program in the second database;

correlating said program elements and product placement elements within the first episode of a serialized media program and said consumer media reviewing actions by the processor to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said program elements and product placement elements;

examining the positive and negative viewer responses and the intensity of those positive and negative viewer responses to each of said program elements and product placement elements;

assigning a percentage value between 0% and 100% as said responsiveness probability value corresponding to said consumer media reviewing actions thereby assigning a probability value to each element whereby probability of creating responsiveness among certain groups is mathematically represented;

applying said responsiveness probability values to program elements and product placement elements in a second episode of a serialized media program to predict consumer media reviewing actions in response to said program elements and product placement elements in said second episode of a serialized media program; and

placing an advertisement within said second episode of a serialized media program at a specific time within specific content therein as determined by said application of said responsiveness probability values to said program elements and product placement elements in said second episode of a serialized media program.

9. The method of claim 8 wherein said program elements and product placement elements is stored in a respective one of a program content information database and a product placement information database.

10. The method of claim 9 wherein said media and commercial program time occurrence and content information is collected via at least one of a set-top box manufacturer, cable service operator and advertiser operative to monitor and record viewer viewing habits including response rates to interactive prompts.

11. The method of claim 8 wherein said step of applying said responsiveness probability values to program elements and product placement elements in a second media program further comprises examining each of said program elements and product placement elements in the second media program, applying the responsiveness probability value corresponding to each of said program elements and product placement elements in the second media program thereto and calculating a total expected responsiveness probability value by adding each of said applied responsiveness probability values whereby the expected probability of creating responsiveness among certain groups in response to the second media program is mathematically represented.

17. The method of claim 8 wherein the specified time interval is every second.

12. A method of determining correlations and causality between media program content and consumer responsiveness comprising the steps;

providing a computer having a processor, software, a first database and a second database;

identifying the occurrence of program elements and product placement elements at specified time intervals within a first episode of a serialized media program with the computer via the software;

storing the occurrence of program elements and product placement elements at specified time intervals within the first episode of a serialized media program in the first database;

detecting consumer media reviewing actions in connection with said program elements and product placement elements within the first episode of a serialized media program via consumer media reviewing detector means operative to selectively detect consumer media reviewing actions;

storing consumer media actions in connection with said program elements and product placement elements within the first episode of a serialized media program in the second database;

correlating said program elements and product placement elements within the first episode of a serialized media program and said consumer media reviewing actions by the processor to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said program elements and product placement elements;

applying said responsiveness probability values to program elements and product placement elements in a second episode of a serialized media program to predict consumer media reviewing actions in response to said program elements and product placement elements in said second episode of a serialized media program; and

placing an advertisement within said second episode of a serialized media program at a specific time within specific content therein as determined by said application of said responsiveness probability values to said program elements and product placement elements in said second episode of a serialized media program.

13. The method of claim 12 wherein said program elements and product placement elements within the first episode of a serialized media program is stored in a respective one of a program content information database and a product placement information database.

14. The method of claim 13 wherein said program elements and product placement elements within the first episode of a serialized media program is collected via at least one of a set-top box manufacturer, cable service operator and advertiser operative to monitor and record viewer viewing habits including response rates to interactive prompts.

15. The method of claim 12 wherein said step of correlating said program elements and product placement elements within the first episode of a serialized media program and said consumer media reviewing actions to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response further comprises examining the positive and negative viewer responses and the intensity of those positive and negative viewer responses to each of said program elements and product placement elements within the first episode of a serialized media program, then assigning a percentage value between 0% and 100% as said responsiveness probability value corresponding to said consumer media reviewing actions thereby assigning a probability value to each element whereby probability of creating responsiveness among certain groups is mathematically represented.

16. The method of claim 12 wherein said step of applying said responsiveness probability values to program elements and product placement elements in a second episode of a serialized media program further comprises examining each of said program elements and product placement elements in the second episode of a serialized media program, applying the responsiveness probability value corresponding to each of said program elements and product placement elements in the second episode of a serialized media program thereto and calculating a total expected responsiveness probability value by adding each of said applied responsiveness probability values whereby the expected probability of creating responsiveness among certain groups in response to the second episode of a serialized media program is mathematically represented.

20. The method of claim 12 wherein the specified time interval is every second.