MOBILE APPLICATION USAGE-BASED REVENUE TARGETING SYSTEMS AND METHODS

• US 20140040017A1
• Filed: 05/24/2013
• Published: 02/06/2014
• Est. Priority Date: 08/01/2012
• Status: Active Grant

• Current Assignee: Yahoo AD Tech LLC
• Original Assignee: Flurry Incorporated (Apollo Global Management, Inc.)
• Inventors: Gardner, Greg, Bafna, Rahul, Afzal, Mubeen, Khalaf, Simon, Oak, Rahul
• Granted Patent: US 10,339,560 B2
• Time in Patent Office: Days
• US Class Current: 705/14.45
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0254 based on statistics

Abstract

Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user'"'"'s interaction with a mobile application; scoring the user'"'"'s interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

Claims

1. A method comprising:

obtaining a targeting profile for a mobile application;

obtaining a set of users from a user datastore, the set of users being associated with the mobile application;

obtaining mobile application usage parameters for the set of users;

scoring how the set of users interacts with the mobile application based on the usage parameters to generate a score for the set of users; and

grouping the set of users, based on the score, with other users into a mobile analytics group.

2. The method of claim 1, wherein the usage parameters comprise a usage time of the mobile application.

3. The method of claim 1, wherein the usage parameters comprise a mobile application-specific trigger for the mobile application.

4. The method of claim 1, further comprising providing targeted advertising content to users in the mobile analytics group.

5. The method of claim 4, further comprising providing the mobile analytics group to an advertising campaign engine and receiving the targeted advertising content for the mobile analytics group.

6. The method of claim 1, further comprising setting an analytics time period based on an advertising target criterion wherein obtaining the mobile application usage parameters for the set of users is during the analytics time period.

7. The method of claim 1, further comprising gathering an application description for the mobile application, parsing the application description for revenue-related target words, and modifying the targeting profile using the revenue-related target words.

8. The method of claim 1, further comprising gathering an application description for the mobile application, parsing the application description for revenue-related target words, and creating the targeting profile using the revenue-related target words.

9. A system comprising:

a user-target profile gathering engine configured to obtain a targeting profile for a mobile application;

a user and application usage gathering engine configured to obtain a set of users from a user datastore, the set of users being associated with the mobile application;

a user and application usage gathering engine configured to obtain mobile application usage parameters for the set of users; and

a usage scoring and mobile analytics grouping engine configured to;

score how the set of users interacts with the mobile application based on the usage parameters to generate a score for the set of users; and

group the set of users, based on the score for the set of users, with other users into a mobile analytics group.

10. The system of claim 9, wherein the usage parameters comprise a usage time of the mobile application.

11. The system of claim 9, wherein the usage parameters comprise a mobile application-specific trigger for the mobile application.

12. The system of claim 9, further comprising a targeting profile engine configured to target advertising content to users in the mobile analytics group.

13. The system of claim 12, wherein the usage scoring and mobile analytics grouping engine is further configured to provide the mobile analytics group to an advertising campaign engine and receive the targeted advertising content for the mobile analytics group.

14. The system of claim 9, further comprising a mobile analytics time selection engine configured to set an analytics time period based on an advertising target criterion wherein the user and application usage gathering engine is configured to obtain the mobile application usage parameters for the set of users during the analytics time period.

15. The system of claim 9, further comprising an application description capture engine configured to gather an application description for the mobile application, parse the application description for revenue-related target words, and modify the targeting profile using the revenue-related target words.

16. The system of claim 9, further comprising an application description capture engine configured to gather an application description for the mobile application, parse the application description for revenue-related target words, and create the targeting profile using the revenue-related target words

17. A non-transitory computer readable storage medium configured to store instructions, the instructions comprising a method, the method comprising the steps of:

obtaining a targeting profile for a mobile application;

obtaining a set of users from a user datastore, the set of users being associated with the mobile application;

obtaining mobile application usage parameters for the set of users;

scoring how the set of users interacts with the mobile application based on the usage parameters to generate a score for the set of users; and

grouping the set of users, based on the score, with other users into a mobile analytics group.

18. The non-transitory computer readable storage medium of claim 17, wherein the usage parameters comprise a usage time of the mobile application.

19. The non-transitory computer readable storage medium of claim 17, wherein the usage parameters comprise a mobile application-specific trigger for the mobile application.

20. The non-transitory computer readable storage medium of claim 17, wherein the method further comprises providing targeted advertising content to users in the mobile analytics group.

21. The non-transitory computer readable storage medium of claim 17, wherein the method further comprises providing the mobile analytics group to an advertising campaign engine and receiving the targeted advertising content for the mobile analytics group.