Multiple application advertising

• US 20090006180A1
• Filed: 06/27/2007
• Published: 01/01/2009
• Est. Priority Date: 06/27/2007
• Status: Abandoned Application

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Hameen-Anttila, Tapio
• Application Number:
  US11/823,323
• Publication Number:
  US 20090006180A1
• Time in Patent Office: Days
• US Class Current: 705/10
• 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
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors

Abstract

Two or more user applications running on a single mobile device are capable of showing advertising materials. Usage information is collected from the user applications. The usage information tracks exposure to the advertising materials associated with each of the user application. A polling message from a server is received at the mobile device at a predetermined interval via a tracking application of the mobile device. A per-application summary of the usage information is sent from the device in response to the polling message.

Claims

1. A method comprising:

collecting usage information from two or more user applications running on a single mobile device, wherein the usage information tracks exposure to advertising materials associated with each of the user applications;

receiving a polling message from a server at a predetermined interval relative to a critical reporting time via a tracking application of the mobile device, wherein the critical reporting time indicates a predetermined milestone in an advertising campaign that uses the advertising materials; and

sending a per-application summary of the usage information from the mobile device in response to the polling message.

2. The method of claim 1, wherein the usage information is collected during a predetermined time period after a start of the advertising campaign.

3. The method of claim 1, wherein the usage information includes a service identifier that indicates a service used by the user applications, an ad identifier that indicates an advertisement associated with the service, and a time of user exposure to the advertisement.

4. The method of claim 3, further comprising:

collecting the usage information from a plurality of users;

determining usage statistics for the service identifier using the usage information from the plurality of users.

5. The method of claim 4, further comprising estimating the usage data of the plurality of users based on previous user interaction with the service indicated by the service identifier.

6. The method of claim 5, further comprising:

defining the critical reporting time based on the estimated usage data, wherein the critical reporting time indicates a time past which there is a change in likelihood of collecting additional usage data; and

stopping the advertising campaign based on the critical time.

7. The method of claim 6, wherein defining the critical reporting time comprises defining the critical reporting time as a time when 80% of the usage data of all users will be collected.

8. The method of claim 6, wherein defining the critical reporting time comprises defining a plurality of critical reporting times, each critical reporting time associated with a different demographic.

9. The method of claim 8, wherein stopping the advertising campaign based on the critical time comprises stopping each of the plurality of critical reporting times based on a different criteria associated with each of the plurality of critical reporting times.

10. The method of claim 5, further comprising:

defining a critical reporting number based on the estimated usage data; and

stopping the advertising campaign based on collecting the usage data from a number of users that satisfies the critical reporting number.

11. The method of claim 10, wherein defining the critical reporting number based on the estimated usage data comprises defining a plurality of critical reporting numbers each associated with separate demographics, and wherein the advertising campaign is stopped based on receiving usage data from a number of users of each of the demographics that satisfies the associated critical reporting number.

12. The method of claim 1, wherein the usage data includes at least one of country identifier and language identifier of the mobile device.

13. The method of claim 1, wherein the usage data includes a terminal model identifier.

14. The method of claim 1, wherein at least one of the user applications comprises a computer game.

15. A mobile device comprising:

a network interface capable of connecting to a network;

a processor coupled to the network interface; and

memory coupled to the processor, the memory including a plurality of user applications and an ad engine having instructions that causes the processor to perform steps that include;

causing the user applications to render advertising materials to a user of the device;

collecting usage information via the user applications, wherein the usage information tracks exposure to the advertising materials associated with each of the user applications;

receiving a polling message relative to a critical reporting time via the network at a predetermined interval, wherein the critical reporting time indicates a predetermined milestone in an advertising campaign that uses the advertising materials; and

sending a per-application summary of the usage information from the device in response to the polling message.

16. The mobile device of claim 15, wherein the usage information includes a service identifier that indicates services used by the user applications, an ad identifier that indicates an advertisement associated with the service, and a time of user exposure to the advertisement.

17. The mobile device of claim 15, wherein the usage data includes at least one of country identifier and language identifier of the mobile device.

18. The mobile device of claim 15, wherein the usage data includes a terminal model identifier.

19. The mobile device of claim 15, wherein at least one of the user applications comprises a computer game.

20. A computer-readable storage medium having instructions executable by a processor of a mobile device for performing steps comprising:

causing two or more user applications of the mobile device to render advertising materials to a user of the device;

collecting usage information via the user applications, wherein the usage information tracks user exposure to the advertising materials associated with each of the user applications;

receiving a polling message relative to critical reporting time via the network at a predetermined interval, wherein the critical reporting time indicates a predetermined milestone in an advertising campaign that uses the advertising materials; and

sending a per-application summary of the usage information from the device in response to the polling message.

21. A system comprising:

a network;

a plurality of mobile terminals, each including a processor, a plurality of user applications, and an ad engine having instructions that cause the processor to perform steps that include;

causing the user applications to render advertising materials to a user of the mobile terminal;

collecting usage information via the user applications, wherein the usage information tracks exposure to the advertising materials associated with each of the user applications;

receiving a polling message relative to a critical reporting time via the network at a predetermined interval, wherein the critical reporting time indicates a predetermined milestone in an advertising campaign that uses the advertising materials; and

sending a per-application summary of the usage information from the mobile terminal in response to the polling message; and

an ad server having a processor and instructions that cause the processor to perform steps that include;

sending the advertising materials to the mobile terminals via the network;

collecting the summaries of the usage information from the mobile terminals via the network; and

determining per-application usage statistics related to the advertising materials using the summaries.

22. The system of claim 21, wherein the mobile terminals collect the usage information during a predetermined time period after a start of an advertising campaign directed to the mobile terminals.

23. The system of claim 21, wherein the usage information includes a service identifier that indicates a service used by the user applications, an ad identifier that indicates an advertisement associated with the service, and a time of user exposure to the advertisement.

24. The system of claim 21, where the ad server has instructions that further cause the processor to estimate the usage data of the plurality of mobile terminals based on previous user interaction with one or more of the user applications.

25. The system of claim 24, where the ad server has instructions that further cause the processor to:

define a critical reporting number based on the estimated usage data; and

direct the mobile terminals to stop an advertising campaign based on collecting the usage data from a number of users that satisfies the critical reporting number.

26. The system of claim 25, wherein defining the critical reporting number based on the estimated usage data comprises defining a plurality of critical reporting numbers each associated with separate demographics, and wherein the advertising campaign is stopped based on receiving usage data from a number of users of each of the demographics that satisfies the associated critical reporting number.

27. A system comprising:

means for sending advertising materials to a plurality of mobile terminals via the network;

means for causing a plurality of user applications of the mobile terminals to render the advertising materials to users of the mobile terminals;

means for collecting usage information via the user applications, wherein the usage information tracks exposure to the advertising materials associated with each of the user applications;

means for sending polling messages via the network at predetermined intervals to the mobile terminals;

means for collecting summaries of the usage information from the mobile terminals in response to the polling messages relative to a critical reporting time; and

means for determining per-application usage statistics related to the advertising materials using the summaries.

28. An ad server having a processor and instructions that cause the processor to perform steps that include:

sending polling messages to mobile terminals via a network when the mobile terminals are connected to the network, wherein each of the mobile terminals includes a plurality of user applications that render advertising materials to users, and wherein the mobile terminals collect application-specific usage information via the user applications, wherein the application-specific usage information tracks exposure to the advertising materials associated with each of the user applications;

collecting the application-specific usage information from the mobile terminals via the network in response to the polling messages, wherein the application-specific usage information includes at least one of a service id, an advertisement id, and a time of connection; and

calculating, based on the application-specific usage information, per-application usage statistics related to the advertising materials within a critical time relative to a predetermined milestone of an advertising campaign that uses the advertising materials.

29. A method comprising:

collecting application-specific information from two or more user applications running on a single mobile device, wherein the application-specific usage information tracks exposure to advertising materials associated with each of the user applications and includes at least one of a service id, an advertisement id, and a time of connection;

sending a polling message to the mobile device via a network when the mobile device is connected to the network;

receiving the application-specific usage information from the mobile device in response to the polling message; and

calculating, based on the application-specific usage information, per-application usage statistics within a critical time relative to a predetermined milestone of an advertising campaign that uses the advertising materials.