Steering distributions for connections from online campaigns of uniquely identifiable objects (UIOs) based on predicted distributions

• US 10,482,494 B2
• Filed: 03/01/2016
• Issued: 11/19/2019
• Est. Priority Date: 06/14/2012
• Status: Active Grant

• Current Assignee: Lotlinx Canada Manitoba Incorporated
• Original Assignee: Lotlinx Canada Manitoba Incorporated
• Inventors: Schafer, Lance Timothy, Charney, Jeremy Ryan, Short, Leonard, Vucic, Robert, Feulner, Denise
• Primary Examiner(s): Long, Meredith A
• Application Number:
  US15/058,127
• Publication Number:
  US 20170148054A1
• Time in Patent Office: 1,358 Days
• CPC Class Codes: G06Q 30/0249 based upon budgets or funds
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers

Abstract

Connections (e.g., click-throughs) for online campaigns are steered. A plurality of UIOs and parameters for configuring a campaign (e.g., advertisement campaign) for the plurality of UIOs is received. UIOs comparable to each of the plurality of UIOs of the campaign are automatically identified and displayed in as an array of options that can be selected for more detailed information. A distribution of connections is predicted from resulting from displays for the plurality of UIOs of the campaign, based on historical information of connections for the identified comparable UIOs.

Claims

1. A computer-implemented method at a connection management server for steering distributions for UIO (uniquely identifiable object) connections based on predicted connections, the method comprising the steps of:

receiving data describing a plurality of UIOs and parameters for configuring an online advertisement campaign for the plurality of UIOs;

automatically identifying UIOs comparable to each of the plurality of UIOs of the online advertisement campaign;

predicting a distribution of connections resulting from displaying graphical advertisements describing the plurality of UIOs of the online advertisement campaign with one or more webpages associated with the identified comparable UIOs based on historical information of connections for the identified comparable UIOs, the graphical advertisements including a hyperlink that, when selected, connects a browser with a termination point associated with a selected UIO;

automatically generating an initial connection weight for each of the plurality of UIOs, wherein the initial connection weight affects how often the graphical advertisement for an associated UIO is displayed as part of an online advertisement;

serving the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on one or more computing devices according to the initial connection weights;

receiving data describing inputs associated with the graphical advertisements sent for display on the one or more computing devices for each of the plurality of UIOs and generating an actual connection distribution based on the data describing the inputs;

responsive to the actual connection distribution, adjusting at least part of the initial connection weights based on a comparison of the actual connection distribution to the predicted distribution of connections; and

serving the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on the one or more computing devices at a frequency according to the adjusted initial connection weights.

2. The method of claim 1, wherein the online advertisement campaign indicates a separate PPC (pay-per-click) budget for each of the plurality of UIOs, and wherein the automatically generated initial connection weights compensate a predicted amount of advertisement connections according to the PPC budget available for advertisement connections.

3. The method of claim 1, further comprising:

identifying comparable UIOs and retrieving the historical information of connections for the comparable UIOs from a database,

wherein the predicted distribution of connections is based on retrieving the historical information of connections for comparable UIOs from the database.

4. The method of claim 1, further comprising:

calculating a likelihood of a connection relative to other advertisements of a plurality of advertisements based on a statistical model,

wherein the predicted distribution of connections is based on the calculated likelihood.

5. The method of claim 1, further comprising:

receiving a target distribution of connections from a marketer device,

wherein the initial connection weights are based at least in part on the target distribution.

6. The method of claim 1, further comprising:

sending an indication of at least one of automatically generated initial connection weights to a marketer device; and

subsequently receiving a target distribution of connections from the marketer device,

wherein the adjusted initial connection weights are based on the target distribution.

7. The method of claim 1, wherein actual connections feedback is received from more than one of a plurality of independent publisher devices that have displayed one or more of the UIOs as part of a sponsored advertisement to a user of a publisher web site.

8. The method of claim 1, wherein actual connections feedback is received from one or more of a plurality of publisher devices that have displayed one or more of the UIOs as part of a sponsored advertisement to a user of a publisher web site, wherein the sponsored advertisement comprises more than one UIO selected in response to an action by the user of the publisher web site, wherein the selected more than one UIO were provided by more than one of a plurality of independent marketer devices.

9. The method of claim 1, wherein the predicted distribution of connections is based on characteristics of the comparable UIO.

10. The method of claim 1, wherein the plurality of UIOs comprise one of uniquely-distinguished vehicles, real estate, and articles.

11. The method of claim 1, wherein the plurality of UIOs comprise individually-distinguished vehicles, and the predicted distribution of connections comprises forwarding a user of a publisher website to a vehicle description page of an individually-distinguished vehicle, and the predicted distribution of connections is based on characteristics of the individually-distinguished vehicles, the characteristics of the individually-distinguished vehicles comprising one or more of a make, a model, a year, a color, mileage, and location.

12. The method of claim 1, wherein the historical information comprises a ratio of advertisement displays to actual connections for each of the comparable UIOs.

13. The method of claim 1, wherein a connection is counted in response to forwarding a user of a publisher web site to a deep linked web site page specific to a UIO.

14. The method of claim 1, wherein a connection results from selection by a user of one of a plurality of connection options, wherein the connection options comprise one or more of a web site page hyperlink, a mapping hyperlink, an e-mail hyperlink, a telephone number hyperlink, and an SMS hyperlink.

15. The method of claim 1, wherein the UIOs are provided by a plurality of marketers and the UIOs are displayed as advertisements by a plurality of publishers that are independent of the connection management server, and wherein the connection management server comprises an advertisement exchange server between the plurality of marketers and the plurality of publishers.

16. A non-transitory computer-readable medium storing source code that, when executed by a processor, performs a method in a connection management server for steering distributions for UIO (uniquely identifiable object) connections based on predicted connections, the method comprising the steps of:

receiving data describing a plurality of UIOs and parameters for configuring an online advertisement campaign for the plurality of UIOs;

automatically identifying UIOs comparable to each of the plurality of UIOs of the online advertisement campaign;

predicting a distribution of connections resulting from displaying graphical advertisements describing the plurality of UIOs of the online advertisement campaign with one or more webpages associated with the identified comparable UIOs based on historical information of connections for the identified comparable UIOs, the graphical advertisements including a hyperlink that, when selected, connects a browser with a termination point associated with a selected UIO;

automatically generating an initial connection weight for each of the plurality of UIOs, wherein the initial connection weight affects how often the graphical advertisement for an associated UIO is displayed as part of an online advertisement;

serving the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on one or more computing devices according to the initial connection weights;

receiving data describing inputs associated with the graphical advertisements sent for display on the one or more computing devices for each of the plurality of UIOs and generating an actual connection distribution based on the data describing the inputs;

responsive to the actual connection distribution, adjusting at least part of the initial connection weights based on a comparison of the actual connection distribution to the predicted distribution of connections; and

serving the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on the one or more computing devices at a frequency according to the adjusted initial connection weights.

17. A connection management server for steering distributions for UIO (uniquely identifiable object) connections based on predicted connections, the connection management server comprising:

a processor;

a network interface; and

a memory communicatively coupled to the processor and the network interface and storing;

a first module to receive data describing a plurality of UIOs and parameters for configuring an online advertisement campaign for the plurality of UIOs;

a second module to automatically identify Ms comparable to each of the plurality of UIOs of the online advertisement campaign;

a third module to predict a distribution of connections resulting from displaying graphical advertisements describing the plurality of Ms of the online advertisement campaign with one or more webpages associated with the identified comparable UIOs based on historical information of connections for the identified comparable UIOs, the graphical advertisements including a hyperlink that, when selected, connects a browser with a termination point associated with a selected UIO; and

a fourth module to automatically generate an initial connection weight for each of the plurality of UIOs, wherein the initial connection weight affects how often the graphical advertisement for an associated UIO is displayed as part of an online advertisement,

wherein the first module serves the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on one or more computing devices according to the initial connection weights,

wherein the first module receives data describing inputs associated with the graphical advertisements sent for display on the one or more computing devices for each of the plurality of UIOs and generating an actual connection distribution based on the data describing the inputs, and

wherein the fourth module, responsive to the actual connection distribution, adjusts at least part of the initial connection weights based on a comparison of the actual connection distribution to the predicted distribution of connections, and the fourth module serving the graphical advertisements for the plurality of UIOs for display in association with the one or more webpages on the one or more computing devices at a frequency according to the adjusted initial connection weights.