SYSTEM AND METHOD FOR DETERMINING AGGREGATED TRACKING METRICS FOR USER ACTIVITIES

• US 20110082719A1
• Filed: 10/07/2009
• Published: 04/07/2011
• Est. Priority Date: 10/07/2009
• Status: Abandoned Application

• Current Assignee: Ongo, Inc.
• Original Assignee: Tokoni Inc.
• Inventors: Dutta, Rajiv
• Application Number:
  US12/575,043
• Publication Number:
  US 20110082719A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

In various exemplary embodiments, a system and method to provide tracking of user interactions and activities with subscribed-to media content is provided. Tracking data which reflects both online and offline activities with media content is accessed. The tracking data is processed to determine a plurality of tracking media associated with the media content. The plurality of tracking metrics is aggregated to generate an aggregated tracking metric. The aggregated tracking metric may comprise two or more of an audience metric, a frequency metric, and an engagement metric.

Claims

1. A method comprising:

obtaining tracking data at one or more servers, the tracking data including online tracking data and offline tracking data of user interactions with one or more media content, the offline tracking data being locally cached on an offline device when the offline device is not communicatively coupled to the one or more servers;

aggregating, using a processor, the online and offline tracking data over a period of time; and

determining a plurality of tracking metrics for a media content of the one or more media content based on the aggregated online and offline tracking data.

2. The method of claim 1, wherein the determining plurality of tracking metrics comprises determining an audience metric indicating uniqueness of each individual accessing the media content.

3. The method of claim 1, wherein the determining plurality of tracking metrics comprises determining a frequency metric indicating frequency of access of the media content.

4. The method of claim 1, wherein the determining plurality of tracking metrics comprises determining an engagement metric indicating type and level of engagement with the media content.

5. The method of claim 1, further comprising determining a valuation of the media content based on at least one of the plurality of tracking metrics.

6. The method of claim 5, wherein the determining the valuation comprises determining a revenue sharing valuation.

7. The method of claim 5, wherein the determining the valuation comprises determining a subscription plan pricing valuation.

8. The method of claim 5, wherein the determining the valuation comprises determining a valuation associated with a user.

9. The method of claim 1, further comprising providing a tracking application to an offline device to generate the offline tracking data and synchronize the offline tracking data with the server when the offline device is communicatively coupled to the one or more servers.

10. A system comprising:

one or more tracking engines to obtain tracking data at one or more servers, the tracking data including online tracking data and offline tracking data of user interactions with one or more media content, the offline tracking data being locally cached on a offline device when the offline device is not communicatively coupled to the one or more servers;

a data aggregation module to aggregate, using a processor, the online and offline tracking data over a period of time; and

at least one data processing module to determine a plurality of tracking metrics for a media content of the one or more media content based on the aggregated online and offline tracking data.

11. The system of claim 10, wherein the at least one data processing module comprises an audience module to determine an audience metric indicating uniqueness of individuals accessing the media content.

12. The system of claim 10, wherein the at least one data processing module comprises a frequency module to determine a frequency metric indicating frequency of access of the media content.

13. The system of claim 10, wherein the at least one data processing module comprises an engagement module to determine an engagement metric indicating type and level of engagement with the media content.

14. The system of claim 10, further comprising a valuation module to determine a valuation of the media content based on at least one of the plurality of tracking metrics.

15. The system of claim 14, wherein the determined valuation comprises a revenue sharing valuation.

16. A machine-readable storage medium in communication with at least one processor, the machine-readable storage medium storing instructions which, when executed by the at least one processor, provides a method, the method comprising:

obtaining tracking data at one or more servers, the tracking data including online tracking data and offline tracking data of user interactions with one or more media content, the offline tracking data being locally cached on a offline device when the offline device is not communicatively coupled to the one or more servers;

aggregating, using a processor, the online and offline tracking data over a period of time; and

determining a plurality of tracking metrics for a media content of the one or more media content based on the aggregated online and offline tracking data.

17. The machine-readable storage medium of claim 16, wherein the method further comprises determining a valuation of the media content based on at least one of the plurality of tracking metrics.

18. The machine-readable storage medium of claim 17, wherein the determining the valuation comprises determining a revenue sharing valuation.

19. The machine-readable storage medium of claim 17, wherein the determining the valuation comprises determining a subscription plan pricing valuation.

20. The machine-readable storage medium of claim 17, wherein the determining the valuation comprises determining a valuation associated with a user.