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

• US 20090210290A1
• Filed: 02/20/2008
• Published: 08/20/2009
• Est. Priority Date: 02/20/2008
• Status: Active Grant

• Current Assignee: Sebastian Elliot
• Original Assignee: Sebastian Elliot
• Inventors: Takiff, Jonathan, Elliott, Sebastian
• Granted Patent: US 8,249,912 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• 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;

identifying and storing media and commercial program time occurrence and content information;

detecting and storing consumer media actions in connection with said media and commercial program time occurrence and content information via consumer media reviewing detector means operative to selectively detect and store consumer media reviewing actions;

correlating said media and commercial program time occurrence and content information and said consumer media reviewing actions to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said media and commercial program time occurrence and content information; and

utilizing said responsiveness probability values in connection with said media and commercial program time occurrence and content information to obtain determinable probabilities of creating responsiveness among persons receiving said media content, whereby said probabilities are mathematically represented.

2. The method of claim 1 further comprising the step of applying said responsiveness probability values to media and commercial program time occurrence and content information in a second media program to predict consumer media reviewing actions in response to said media and commercial program time occurrence and content information 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 media and commercial program time occurrence and content information in said second media program.

4. The method of claim 1 wherein said media and commercial program time occurrence and content information is stored in a respective one of a program content information database and a product placement information database.

5. The method of claim 4 wherein said media and commercial program time occurrence and contact 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.

6. The method of claim 1 wherein said step of correlating said media and commercial program time occurrence and content information 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 media and commercial program time occurrence and content information, 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 media and commercial program time occurrence and content information in a second media program further comprises examining each of said media and commercial program time occurrence and content information in the second media program, applying the responsiveness probability value corresponding to each of said media and commercial program time occurrence and content information 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.

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

identifying and storing media and commercial program time occurrence and content information;

detecting and storing consumer media actions in connection with said media and commercial program time occurrence and content information via consumer media reviewing detector means operative to selectively detect and store consumer media reviewing actions;

correlating said media and commercial program time occurrence and content information and said consumer media reviewing actions to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said media and commercial program time occurrence and content information;

examining the positive and negative viewer responses and the intensity of those positive and negative viewer responses to each of said media and commercial program time occurrence and content information;

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 media and commercial program time occurrence and content information in a second media program to predict consumer media reviewing actions in response to said media and commercial program time occurrence and content information in said second media program; and

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 media and commercial program time occurrence and content information in said second media program.

9. The method of claim 8 wherein said media and commercial program time occurrence and content information 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 contact 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 media and commercial program time occurrence and content information in a second media program further comprises examining each of said media and commercial program time occurrence and content information in the second media program, applying the responsiveness probability value corresponding to each of said media and commercial program time occurrence and content information 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.

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

identifying and storing media and commercial program time occurrence and content information;

detecting and storing consumer media actions in connection with said media and commercial program time occurrence and content information via consumer media reviewing detector means operative to selectively detect and store consumer media reviewing actions;

correlating said media and commercial program time occurrence and content information and said consumer media reviewing actions to obtain and assign responsiveness probability values corresponding to type and intensity of consumer response for each of said media and commercial program time occurrence and content information;

applying said responsiveness probability values to media and commercial program time occurrence and content information in a second media program to predict consumer media reviewing actions in response to said media and commercial program time occurrence and content information in said second media program; and

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 media and commercial program time occurrence and content information in said second media program.

13. The method of claim 12 wherein said media and commercial program time occurrence and content information 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 media and commercial program time occurrence and contact 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.

15. The method of claim 12 wherein said step of correlating said media and commercial program time occurrence and content information 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 media and commercial program time occurrence and content information, 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 media and commercial program time occurrence and content information in a second media program further comprises examining each of said media and commercial program time occurrence and content information in the second media program, applying the responsiveness probability value corresponding to each of said media and commercial program time occurrence and content information 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.