System and method for sending data to end user data delivery vehicles

• US 10,074,095 B2
• Filed: 04/17/2009
• Issued: 09/11/2018
• Est. Priority Date: 04/17/2009
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Morris, Scott R.
• Primary Examiner(s): Kwong, Cho Yiu
• Application Number:
  US12/425,915
• Publication Number:
  US 20100268576A1
• Time in Patent Office: 3,434 Days
• Field of Search: 705 141, 705 1427, 705 1428
• 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 30/0207 Discounts or incentives, e.g. coupons or rebates

Abstract

An embodiment of a method is disclosed, including but not limited to, dividing a reward token in a reward token data base into a plurality of reward token pieces based on a selection of plurality of end user data delivery vehicles on which an advertiser wants to send the reward token pieces to an end user; sensing end user activity on a communication network on at least one of the plurality of end user data delivery vehicles at one of a plurality of data delivery vehicle servers; sending from a first one of the plurality of data delivery vehicle servers, a first one of the plurality of reward token pieces to the end user on a first one of the plurality of end user data delivery vehicles; and sending from a second one of the plurality of data delivery vehicle servers, a second one of the plurality of reward token pieces to the end user on a second one of the plurality of end user data delivery vehicles. A computer program product and system for performing the method are also disclosed.

Claims

1. A method, comprising:

accessing, by a processing system comprising a processor, a policy that prioritizes activities of a plurality of devices associated with a user according to an advertising objective;

determining, by the processing system, which devices of the plurality of devices are active based on end user activity data sent and received by the plurality of devices associated with the user to generate historical end user device type utilization data for the user;

generating, by the processing system, a reward token based on the advertising objective, wherein the token is associated with a preferred activity of the user based on the advertising objective;

dividing, by the processing system, the reward token in a reward token data base into subtokens;

assigning, by the processing system, values to each device of the plurality of devices according to the historical end user device type utilization data;

inserting, by the processing system, a respective portion of the subtokens into a respective instance of instances of video content data at a video hub office server according to a respective value of the values of each of the plurality of devices, wherein the video hub office server delivers the respective instance of instance of the video content data with the respective portion of the subtokens to a respective device of the plurality of devices, wherein each respective device of the plurality of devices presents information associated with the respective instance of the instances of the video content data and the respective portion of the subtokens assigned to the respective device of the plurality of devices;

monitoring, by the processing system, the plurality of devices to determine which devices conduct an activity consistent with the preferred activity to activate the respective portion of the subtokens for the respective device of the plurality of devices as activated subtokens;

transferring, by the processing system, the activated subtokens to an account associated with the user; and

providing, by the processing system, a reward to the account based on an accumulation of the activated subtokens, wherein the reward is based on the policy and the advertising objective.

2. The method of claim 1, wherein the preferred activity is text messaging.

3. The method of claim 1, the method further comprising detecting a most used end user device type of the plurality of devices.

4. The method of claim 3, wherein the advertising objective targets other devices of the plurality of device other than the most used end user device for the user.

5. The method of claim 4, the method further comprising sending data on each respective device of the plurality of devices to provide a reward value to the user for accumulation of subtokens, wherein a reward value each of the subtokens is inversely proportional to a historical utilization of the respective device of the plurality of devices based on the historical end user device type utilization data for the user.

6. The method of claim 5, the method further comprising:

selecting a second device of the plurality of devices being a least used device of the plurality of devices based on the historical utilization; and

sending to the most used end user device an instruction to present information on the most used end user device that a second respective portion of subtokens is available on the second device.

7. The method of claim 6, the method further comprising

ranking each of the plurality of devices based on the historical utilization and a second historical utilization of an end user application provided on each of the plurality of devices.

8. The method of claim 7, wherein the ranking further comprises weighting the historical utilization of each of the plurality of devices and the second historical utilization of the end user application based on a desired target profile of the advertising objective.

9. A non-transitory, machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising:

accessing a policy that prioritizes activities of a plurality of devices associated with a user according to an advertising objective;

determining which devices of the plurality of devices are active based on end user activity data sent and received by the plurality of devices associated with the user to generate historical end user device type utilization data for the user;

generating a reward token based on the advertising objective, wherein the token is associated with a preferred activity of the user based on the advertising objective;

dividing the reward token in a reward token data base into subtokens;

assigning values to each device of the plurality of devices according to the historical end user device type utilization data;

inserting a respective portion of the subtokens into a respective instance of instances of video content data at a video hub office server according to a respective value of the values of each of the plurality of devices, wherein the video hub office server delivers the respective instance of instance of the video content data with the respective portion of the subtokens to a respective device of the plurality of devices, wherein each respective device of the plurality of devices presents information associated with the respective instance of the instances of the video content data and the respective portion of the subtokens assigned to the respective device of the plurality of devices;

monitoring the plurality of devices to determine which devices conduct an activity consistent with the preferred activity to activate the respective portion of the subtokens for the respective device of the plurality of devices as activated subtokens;

transferring the activated subtokens to an account associated with the user; and

providing a reward to the account based on an accumulation of the activated subtokens, wherein the reward is based on the policy and the advertising objective.

10. The non-transitory, machine-readable storage medium of claim 9, wherein the operations further comprise detecting a most used end user device type of the plurality of devices.

11. The non-transitory, machine-readable storage medium of claim 10, wherein the operations further comprise:

selecting a second device of the plurality of devices being a second-most used device of the plurality of devices based on the historical utilization; and

sending to the most used end user device an instruction to present information on the most used end user device that a second respective portion of subtokens is available on the second-most used device.

12. The non-transitory, machine-readable storage medium of claim 11, wherein the operations further comprise ranking each of the plurality of devices based on the historical utilization and a second historical utilization of an end user application provided on each of the plurality of devices.

13. The non-transitory, machine-readable storage medium of claim 12, the operations further comprising weighting the historical utilization of each of the plurality of devices and the second historical utilization of the end user application based on a desired target profile of the advertising objective.

14. The non-transitory, machine-readable storage medium of claim 13, wherein the operations further comprise:

selecting the second device based on increasing an end user'"'"'s historical utilization of the second device; and

sending to the most used end user device an instruction to present information on the most used end user device that a second respective portion of subtokens is available on the second device.

15. The non-transitory, machine-readable storage medium of claim 14, wherein the operations further comprise ranking each of the plurality of devices based on the historical utilization and a second historical utilization of each end user application provided on each of the plurality of devices.

16. The non-transitory, machine-readable storage medium of claim 15, wherein the operations further comprise weighting the historical utilization of each of the plurality of devices and the second historical utilization of each end user application based on a desired target profile of the advertising objective.

17. A system comprising:

a processing system including a processor; and

a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, comprising;

accessing a policy that prioritizes activities of a plurality of devices associated with a user according to an advertising objective;

determining which devices of the plurality of devices are active based on end user activity data sent and received by the plurality of devices associated with the user to generate historical end user device type utilization data for the user;

generating a reward token based on the advertising objective, wherein the token is associated with a preferred activity of the user based on the advertising objective;

dividing the reward token in a reward token data base into subtokens;

assigning values to each device of the plurality of devices according to the historical end user device type utilization data;

inserting a respective portion of the subtokens into a respective instance of instances of video content data at a video hub office server according to a respective value of the values of each of the plurality of devices, wherein the video hub office server delivers the respective instance of instance of the video content data with the respective portion of the subtokens to a respective device of the plurality of devices, wherein each respective device of the plurality of devices presents information associated with the respective instance of the instances of the video content data and the respective portion of the subtokens assigned to the respective device of the plurality of devices;

monitoring the plurality of devices to determine which devices conduct an activity consistent with the preferred activity to activate the respective portion of the subtokens for the respective device of the plurality of devices as activated subtokens;

transferring the activated subtokens to an account associated with the user; and

providing a reward to the account based on an accumulation of the activated subtokens, wherein the reward is based on the policy and the advertising objective.

18. The system of claim 17, wherein the method operations further comprise detecting an end user application being operated on one of the plurality of devices.

19. The system of claim 18, wherein a first device of the plurality of devices comprises a most used end user device.

20. The system of claim 19, wherein the operations further comprise sending data on each respective device of the plurality of devices to provide a reward value to the user for accumulation of subtokens, wherein a reward value each of the subtokens is inversely proportional to a historical utilization of the respective device of the plurality of devices based on the historical end user device type utilization data for the user.