MONETIZING PRODUCT PLACEMENT, CONSUMER, AND VENDOR DATA

• US 20140317644A1
• Filed: 04/17/2014
• Published: 10/23/2014
• Est. Priority Date: 04/17/2013
• Status: Abandoned Application

• Current Assignee: Ana Bermudez
• Original Assignee: Ana Bermudez
• Inventors: Bermudez, Ana
• Application Number:
  US14/255,830
• Publication Number:
  US 20140317644A1
• Time in Patent Office: Days
• US Class Current: 725/9
• CPC Class Codes: H04N 21/23424 involving splicing one content stream with another content stream, e.g. for inserting or substituting an advertisement
• CPC Class Codes: H04N 21/47815 Electronic shopping payment schemes, payment architectures or payment protocols for electronic shopping systems G06Q20/12
• CPC Class Codes: H04N 21/4882 for displaying messages, e.g. warnings, reminders arrangements for providing short real-time information to substation in data switching networks H04L12/1895
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 21/8133 specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program

Abstract

A method and a non-transitory machine-readable medium are used to monetize product placements integral with video programs. A promotion company obtains information identifying products placed in a program and provides it to a viewer on a second screen having a graphical user interface. The promotion company provides for interactions such as associating a product with a preferred vendor or providing for communications between users. Data is tracked and collected data is categorized and processed to produce salable information.

Claims

1. A method for making product placement data monetizeable comprising:

obtaining a product placement list for a preselected program;

assembling product data for products which are the subject of product placement data;

assembling vendor data to be associated with each product;

storing said product data and said vendor data in storage;

producing a data block comprising data for transmission to a user, the data block comprising data for providing selected decision trees to a user;

providing said data block to a program company for inclusion in a media package for transmission via a channel, the channel providing data to a user;

receiving signals from a user indicative of user selections;

accessing stored data in correspondence with user selections to obtain accessed data;

providing to the user the accessed data and providing options to select a data transaction;

collecting data indicative of actions of a plurality of users; and

reducing the data to generate consumer data.

2. A method according to claim 1 wherein the data block transmitted to a user comprises a definition of a graphical user interface for superimposition on a program viewing screen.

3. A method according to claim 2 wherein product data comprises fields each containing product descriptions.

4. A method according to claim 3 wherein vendor data comprises data regarding a plurality of vendors, the plurality of vendors including a preferred vendor associated with each product.

5. A method according to claim 4 further comprising registering of a selection of a vendor by a user.

6. A method according to claim 5 further comprising registering of a sale by a selected vendor to a user.

7. A method according to claim 1 wherein providing data to and receiving data from users comprises connection via social media.

8. A method according to claim 1 wherein a plurality of graphical user interfaces provide a decision tree including at least one branch leading to a next decision tree.

9. A method according to claim 1 for registering selections by a plurality of users and performing rule-based data reduction.

10. A method according to claim 1 further comprising providing an app to an entity providing user interface devices for interaction, the app providing functionality to interface with the steps of the method.

11. A method for generating monetizeable data based on product placements in programs comprising:

selecting user data parameters from which monetizeable data can be generated;

providing to users a product placement list for a preselected program;

providing to the users via a data channel a data block comprising information corresponding to a current preselected program being viewed by a user;

providing product data in the data block for placed products and selection options for making user selections corresponding to user data parameters;

storing product data and selecting and storing vendor data associated with a respective product in a data memory;

receiving signals from a user indicative of user selections;

accessing data from the memory in correspondence with user selections in order to obtain accessed data;

providing to the user the accessed data;

collecting data from a plurality of users indicative of the selected user data parameters; and

analyzing data indicative of the selected user data parameters according to preselected rules.

12. A method according to claim 11 wherein analyzing data indicative of the selected user data parameters comprises generating reports of consumer data for delivery in a preselected manner.

13. A method according to claim 11 further comprising generating monetizeable data by utilizing an algorithm to produce a decision based on actionable intelligence embodied in user data.

14. A method according to claim 11 wherein choices available to a user at one decision branch comprise a first menu of data transactions and wherein the method further comprises providing a next level of available data transactions.

15. A method according to claim 11 further comprising providing a user an option to make selections on a social media menu and including social media selections as user data parameters.

16. A non-transitory machine-readable medium that provides instructions, which when executed by a processor, causes said processor to perform operations for generating monetizeable data based on product placements in programs comprising:

selecting user data parameters from which monetizeable data can be generated;

providing to users a product placement list for a preselected program;

providing to the users via a data channel a data block comprising information corresponding to a current preselected program being viewed by a user;

providing product data in the data block for placed products and selection options for making user selections corresponding to user data parameters;

storing product data and selecting and storing vendor data in a data memory associated with a respective product;

receiving signals from a user indicative of user selections;

accessing data from the memory in correspondence with user selections in order to obtain accessed data;

providing to the user the accessed data;

collecting data from a plurality of the users indicative of the selected user data parameters; and

analyzing data indicative of the selected user data parameters according to preselected rules.

17. A non-transitory machine-readable medium according to claim 16 wherein product data comprises fields each containing product descriptions.

18. A non-transitory machine-readable medium according to claim 17 wherein user data parameters comprise social media interactions and further comprising providing a user the option to make selections on a social media menu.

19. A method according to claim 16 wherein analyzing data indicative of the selected user data parameters comprises generating reports of consumer data for delivery in a preselected manner.

20. A method according to claim 16 further comprising generating monetizeable data by utilizing an algorithm to produce a decision based on actionable intelligence embodied in user data.