DYNAMIC PRICING OF ONLINE CONTENT

• US 20130013459A1
• Filed: 07/07/2011
• Published: 01/10/2013
• Est. Priority Date: 07/07/2011
• Status: Abandoned Application

• Current Assignee: Magi.com, Inc.
• Original Assignee: Hi5 Networks Incorporated (Tagged Incorporated)
• Inventors: Kerr, Monty L., St. John, Alexander K., Kongovi, Rajat
• Application Number:
  US13/178,237
• Publication Number:
  US 20130013459A1
• Time in Patent Office: Days
• US Class Current: 705/27.1
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

In various embodiments, the present disclosure provides a method, apparatus, and system for dynamically pricing online content. The method may include determining a geographic location of a user consuming or interested in consuming an online content hosted by the service provider. At least one price point may be determined at which to offer to the user rights to consume the online content or virtual goods associated with the online content. The price point may be tailored for the geographic location to increase likelihood of acceptance of the offer by the user. The price point may be presented to the user. Other embodiments may be disclosed and/or claimed.

Claims

1. A computer-implemented method, comprising:

determining, by a computer system of a service provider, a geographic location of a user consuming or interested in consuming an online content hosted by the service provider;

determining, by the computer system, at least one price point at which to offer to the user rights to consume the online content or virtual goods associated with the online content, that is tailored for the geographic location to increase likelihood of acceptance of the offer by the user; and

causing to be presented to the user, at another computer system of the user, by the computer system, the at least one price point.

2. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on one or more of the user'"'"'s history consuming online content hosted by the service provider and the user'"'"'s history of purchasing rights to consume online content or virtual goods associated with online content.

3. The computer-implemented method of claim 1, wherein online content hosted by the service provider has a plurality of types, and determining the at least one price point further comprises determining the at least one price point based on a type of the online content the user is consuming or is interested in consuming.

4. The computer-implemented method of claim 3, wherein determining the at least one price point further comprises determining the at least one price point based on spending history of other users of the type of online content the user is consuming or is interested in consuming.

5. The computer-implemented method of claim 4, wherein the type of the online content includes one or more of a genre of the online content, a creator of the online content, or a contributor to the online content.

6. The computer-implemented method of claim 1, wherein online content hosted by the service provider includes a plurality of network computer games, and determining the at least one price point further comprises determining the at least one price point based on which network computer game of the plurality of network computer games is being played by the user.

7. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on a currency used at the geographic location.

8. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on an aesthetic preference of users in a region containing the geographic location, the aesthetic preference being determined heuristically from the users in the region.

9. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on one or more of an economy of the geographic location or income per capita of the geographic location.

10. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on spending history of other users that are demographically similar to the user.

11. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on spending history of other users who are “

friends”

of the user in a social network or “

buddies”

of the user in a buddy list.

12. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on a payment method likely to be available to users at or near the geographic location.

13. The computer-implemented method of claim 1, wherein the at least one price point is a first price point of a first payment method, the method further comprising:

determining, by the computer system, a second price point of a second payment method at which to offer to the user rights to consume the online content or virtual goods associated with the online content; and

causing to be presented to the user, at the another computer system of the user, by the computer system, the second price point.

14. The computer-implemented method of claim 13, wherein the first payment method is one of payment with cash or payment with mobile points, and the second payment method is another of payment with cash or payment with mobile points.

15. The computer-implemented method of claim 1, wherein determining the at least one price point further comprises determining the at least one price point based on a value expected to be received by a content provider.

16. The computer-implemented method of claim 1, further comprising determining at least one amount of virtual goods associated with the online content to offer to the user at the at least one price point.

17. The computer-implemented method of claim 16, further comprising determining a discount price point at which to offer the at least one amount of virtual goods to the user where it is determined that the user is unwilling to accept the at least one amount of virtual goods at the at least one price point.

18. The computer-implemented method of claim 1, wherein the virtual goods are virtual currency.

19. The computer-implemented method of claim 1, wherein:

the at least one price point includes a plurality of price points based on the geographic location;

the user is presented with a number of price points of the plurality of price points from which to select; and

the number of price points presented to the user is determined heuristically from one or more of past activity of the user or past activity of a plurality of users in a region containing the geographic location.

20. A non-transitory computer-readable medium having computer-readable code embodied therein, the computer-readable code comprising instructions configured to enable an apparatus, in response to execution of the instructions, to perform a number of operations, including:

determining a geographic location of a user consuming or interested in consuming an online content hosted by the service provider;

determining at least one price point at which to offer to the user rights to consume the online content or virtual goods associated with the online content, that is tailored for the geographic location to increase likelihood of acceptance of the offer by the user;

determining at least one amount of virtual goods associated with the online content to offer to the user at the at least one price point; and

causing to be presented to the user, at a computer system of the user, the at least one price point for the amount of virtual goods.

21. The non-transitory computer-readable medium of claim 20, wherein the at least one price point includes a first price point of a first payment method, and the operations further include:

determining a second price point of a second payment method at which to offer to the user rights to consume the online content or virtual goods associated with the online content; and

causing to be presented to the user, at the computer system of the user, the second price point for the amount of virtual goods.

22. The non-transitory computer-readable medium of claim 20, wherein:

the at least one price point includes a plurality of price points;

the operations further include presenting the user with a number of price points of the plurality of price points from which to select; and

determining the number of price points presented to the user heuristically from one or more of past activity of the user or past activity of users in a region containing the geographic location.

23. A system, comprising:

one or more processors;

a content module configured to be operated by a processor of the one or more processors to facilitate, by a user at a computer system of the user, consumption of a content provided by a service provider;

a data collection module configured to be operated by a processor of the one or more processors to collect data relating to past consumption of content of the service provider by a plurality of users, including the user, over a period of time; and

a monetization module configured to be operated by a processor of the one or more processors to;

determine a geographic location of a user consuming or interested in consuming an online content hosted by the service provider;

determine at least one price point at which to offer to the user rights to consume the online content or virtual goods associated with the online content, that is tailored for the geographic location to increase likelihood of acceptance of the offer by the user; and

cause to be presented to the user, at a computer system of the user, the at least one price point.

24. The system of claim 23, wherein the monetization module is further configured to determine the at least one price point based on a currency used at the geographic location.

25. The system of claim 23, wherein the monetization module is further configured to determine the at least one price point based on an aesthetic preference of users in a region containing the geographic location, the aesthetic preference being determined heuristically from the users in the region.