SYSTEM AND METHOD FOR QUALIFYING EVENTS BASED ON BEHAVIORAL PATTERNS AND TRAITS IN DIGITAL ENVIRONMENTS

• US 20140114742A1
• Filed: 08/26/2013
• Published: 04/24/2014
• Est. Priority Date: 08/27/2012
• Status: Active Grant

• Current Assignee: Trivver, Inc.
• Original Assignee: Lamontagne Entertainment Incorporated
• Inventors: LAMONTAGNE, Joel David, THOMPSON, Mozelle, WATSON, Richard, KEATING, Simon, EVANS, Lee, ISAAC, Timothy, WILLIAMS, Andrew
• Granted Patent: US 10,600,072 B2
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

A device that analyzes advertising effectiveness can include an asset repository that stores a plurality of smart objects, an entertainment interface that accepts one or more smart objects from the plurality of smart objects, an event stream processor that receives information from the one or more smart objects and provides metrics based on the information from the one or more smart objects, and a BIND engine that receives information from the one or more smart objects and one or more databases and provides decisions and metrics based on the information from the one or more smart objects and one or more databases.

Claims

1. A device that analyzes advertising effectiveness, comprising:

an asset repository that stores a plurality of smart objects;

an interface that accepts one or more smart objects from the plurality of smart objects;

an event stream processor that receives information from the one or more smart objects and provides metrics based on the information from the one or more smart objects to determine the advertising effectiveness; and

a bind engine that receives information from the one or more smart objects and finds correlations between user behavior towards the one or more smart objects user traits, and identifies relationships to determine the advertising effectiveness.

3. The device of claim 1, wherein the smart objects are associated with advertisements to be analyzed, and are objects that are sensitive to actions of a human user;

wherein said information from one or more smart objects is indicative of user interaction with an associated advertisement; and

wherein said metric measure how effective said associated advertisement is.

2. A method of analyzing advertising effectiveness, comprising:

providing one or more smart objects with advertising;

inserting the one or more smart objects into an interface;

receiving information from the one or more smart objects;

analyzing the information for particular predetermined combinations of user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions;

if any particular predetermined combinations of user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions are found, providing metrics or analytics based on the found predetermined combinations of user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions.

receiving information from at least one of the one or more smart objects, user profile data database, registration data database, and rewards and advertiser databases;

analyzing the information for correlations between at least one of particular predetermined combinations of user interactions, actions subsequent to the user interactions, user interactions and actions subsequent to the user interactions, information user profile data database, registration data database, and rewards and advertiser databases; and

identifying patterns and relationships based on said correlations and providing metrics or analytics based on said correlations.

4. The method of claim 2, further comprising the steps of:

changing features of the advertising of the one or more smart objects based on information from said step providing metrics or analytics; and

reanalyzing the information for particular predetermined combinations of user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions.

5. The method of claim 2, further comprising the steps of:

generating a reward for the user based on information of the user interactions, metrics or the analytics to reward the user.

6. A method of changing marketing campaign that comprises the steps of:

selling a product in at least one of a real store or an online store;

promoting the product with an advertisement campaign having characteristics;

labeling interactive objects of a video game with a brand of the product and with brands of other competing products to generate interactive smart objects;

receiving information at a computer system from an interface with the video game on the interactive smart objects;

analyzing the information for particular predetermined combinations of user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions of a user of the video game at the computer system;

providing metrics or analytics based on said step of analyzing;

receiving information from at least one of the interactive smart objects, user profile data database, registration data database, and rewards and advertiser databases at the computer system;

analyzing the information for correlations between at least one of particular predetermined combinations of user interactions, actions subsequent to the user interactions, user interactions and actions subsequent to the user interactions, information user profile data database, registration data database, and rewards and advertiser databases;

identifying patterns and relationships based on said correlations and providing metrics or analytics based on said correlations; and

changing the characteristics of the advertising campaign based on results of said step of identifying patterns and relationships.

7. A method of providing product coupons, the method comprising the steps of:

labeling an interactive object of a video game with a brand of the product to generate an interactive smart object;

receiving information at a computer system from an interface with the video game on the interactive smart object and the user actions with the smart object;

analyzing the information for particular predetermined combinations of the user interactions, actions subsequent to the user interactions, or user interactions and actions subsequent to the user interactions of a user of the video game at the computer system;

providing metrics or analytics based on said step of analyzing;

receiving information from at least one of the interactive smart objects, user profile data database, registration data database, and rewards and advertiser databases at the computer system;

analyzing the information for correlations between at least one of particular predetermined combinations of user interactions, actions subsequent to the user interactions, user interactions and actions subsequent to the user interactions, information user profile data database, registration data database, and rewards and advertiser databases;

identifying patterns and relationships based on said correlations and providing metrics or analytics based on said correlations; and

providing a product coupon related to the brand to the user in a case said step of identifying has determined that the patterns and relationships indicate a high user interest towards the brand.