Systems and methods for predicting and pricing of gross rating point scores by modeling viewer data

• US 10,007,926 B2
• Filed: 12/30/2013
• Issued: 06/26/2018
• Est. Priority Date: 03/13/2013
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Systems Incorporated (Adobe Inc.)
• Inventors: Hughes, John, Rose, Adam, Trenkle, John M.
• Primary Examiner(s): Stoltenberg, David J
• Assistant Examiner(s): Ezewoko, Michael I
• Application Number:
  US14/144,016
• Publication Number:
  US 20140278938A1
• Time in Patent Office: 1,639 Days
• Field of Search: 705 1445
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

Systems and methods are disclosed for characterizing websites and viewers, for predicting GRPs (Gross Rating Points) for online advertising media campaigns, and for pricing media campaigns according to GRPs delivered as opposed to impressions delivered. To predict GRPs for a campaign, systems and methods are disclosed for first characterizing polarized websites and then characterizing polarized viewers. To accomplish this, a truth set of viewers with known characteristics is first established and then compared with historic and current media viewing activity to determine a degree of polarity for different Media Properties (MPs)—typically websites offering ads—with respect to gender and age bias. A broader base of polarized viewers is then characterized for age and gender bias, and their propensity to visit a polarized MP is rated. Based on observed and calculated parameters, a GRP total is then predicted and priced to a client/advertiser for an online ad campaign.

Claims

1. In a digital medium environment of real-time bidding and selection of advertising opportunities corresponding to viewers simultaneously accessing websites via computing devices, a computerized method for efficiently providing digital bid responses and advertising over an online network in conducting online ad campaigns, comprising:

determining a number of impressions to achieve desired gross rating points for an online ad campaign;

bidding, by one or more processors during a first time period of a campaign run time for the online ad campaign, on a first plurality of known ad opportunities wherein the first plurality of known ad opportunities represent first plurality of known polarized viewers in a database of known polarized viewers;

determining, during the first time period, that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time utilizing the first plurality of known ad opportunities corresponding to the first plurality of known polarized viewers in the database;

receiving, by the one or more processors, during a second time period of the campaign run time, a second plurality of known ad opportunities and a plurality of unknown ad opportunities from a remote server, wherein the second plurality of known ad opportunities corresponds to a second plurality of known polarized viewers in the database and the plurality of unknown ad opportunities corresponds to unknown viewers;

based on the determination that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time utilizing the first plurality of known ad opportunities corresponding to the first plurality of known polarized viewers, sending, by the one or more processors during the second time period, bid responses to the remote server for the second plurality of known ad opportunities and the plurality of unknown ad opportunities to increase a rate at which the number of impressions to achieve the desired gross rating points are being fulfilled; and

providing a first advertisement for display to a first client device of a first viewer from the unknown viewers and a second advertisement for display to a second client device of a second viewer from the second plurality of known polarized viewers.

2. The computerized method of claim 1, further comprising:

determining, for a first unknown ad opportunity of the plurality of unknown ad opportunities, that the first unknown ad opportunity corresponds to at least one polarized media property in a database of known polarized media properties; and

sending a bid response for the first unknown ad opportunity in response to the determination that the first unknown ad opportunity corresponds to the at least one polarized media property in the database of known polarized media properties.

3. The computerized method of claim 1, further comprising:

determining a targeted ratio of polarized viewer impressions to unknown viewer impressions to achieve the desired gross rating points for the online ad campaign; and

sending the bid responses during the second time period based on the targeted ratio of polarized viewer impressions to unknown viewer impressions.

4. The computerized method of claim 3, further comprising:

tracking a number of on-target impressions achieved during the online ad campaign; and

adjusting the targeted ratio of polarized viewer impressions to unknown viewer impressions during execution of the online ad campaign based on the number of on-target impressions.

5. The computerized method of claim 4, further comprising:

comparing the desired gross rating points and an actual gross rating points delivered during the online ad campaign; and

determining an adjusted targeted ratio of polarized viewer impressions to unknown viewer impressions for a subsequent online campaign based on the comparison.

6. The computerized method of claim 5, further comprising executing the subsequent online campaign by sending bid responses based on the adjusted targeted ratio of polarized viewer impressions to unknown viewer impressions.

7. The computerized method of claim 1, wherein determining the number of impressions to achieve the desired gross rating points comprises:

establishing the database of known polarized viewers including viewer characteristics and polarization probabilities for the first plurality and second plurality of known polarized viewers;

identifying targeting parameters for the online ad campaign; and

determining the number of impressions to achieve the desired gross rating points for the online ad campaign based on the targeting parameters and the polarization probabilities for the first plurality and second plurality of known polarized viewers.

8. The computerized method of claim 1, wherein determining that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time comprises:

monitoring the online ad campaign during the first time period to determine a success rate for the online ad campaign; and

determining that the success rate for the online ad campaign drops below a threshold on track rate.

9. A system comprising:

at least one processor; and

at least one non-transitory computer readable storage medium storing instructions that, when executed by the at least one processor, cause the system to;

determine a number of impressions to achieve desired gross rating points for an online ad campaign;

during a first time period of a campaign run time for the online ad campaign, bid on a first plurality of known ad opportunities corresponding to a first plurality of known polarized viewers in a database of known polarized viewers;

determine, during the first time period, that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time utilizing the first plurality of known ad opportunities corresponding to the first plurality known polarized viewers in the database;

receive, during a second time period of the campaign run time, a second plurality of known ad opportunities and a plurality of unknown ad opportunities from a remote server, wherein the second plurality of known ad opportunities corresponds to a second plurality of known polarized viewers in the database and the plurality of unknown ad opportunities corresponds to unknown viewers; and

based on the determination that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time utilizing the first plurality of known ad opportunities corresponding to the first plurality of known polarized viewers, sending, during the second time period, bid responses to the remote server for the second plurality of known ad opportunities and the plurality of unknown ad opportunities.

10. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to send the bid responses by providing a first advertisement for display to a first client device of a first viewer from the unknown viewers and a second advertisement for display to a second client device of a second viewer from the second plurality of known polarized viewers.

11. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to:

determine, for a first unknown ad opportunity of the plurality of unknown ad opportunities, that the first unknown ad opportunity corresponds to at least one polarized media property in a database of known polarized media properties; and

sending a bid response for the first unknown ad opportunity in response to the determination that the first unknown ad opportunity corresponds to the at least one polarized media property in the database of known polarized media properties.

12. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to:

determine a targeted ratio of polarized viewer impressions to unknown viewer impressions to achieve the desired gross rating points for the online ad campaign; and

send the bid responses during the second time period based on the targeted ratio of polarized viewer impressions to unknown viewer impressions.

13. The system of claim 9, further comprising instructions that, when executed by the at least one processor, cause the system to:

track a number of on-target impressions achieved during the online ad campaign; and

adjust the targeted ratio of polarized viewer impressions to unknown viewer impressions during the campaign run time based on the number of on-target impressions.

14. The system of claim 13, further comprising instructions that, when executed by the at least one processor, cause the system to:

compare the desired gross rating points and an actual gross rating points delivered during the online ad campaign; and

determine an adjusted targeted ratio of polarized viewer impressions to unknown viewer impressions for a subsequent online campaign based on the comparison.

15. The system of claim 14, further comprising instructions that, when executed by the at least one processor, cause the system to:

execute the subsequent online campaign by sending bid responses based on the adjusted targeted ratio of polarized viewer impressions to unknown viewer impressions.

16. The system of claim 14, further comprising instructions that, when executed by the at least one processor, cause the system to determine that the desired gross rating points for the online ad campaign will not be fulfilled during the campaign run time by:

monitoring the online ad campaign during the first time period to determine a success rate for the online ad campaign; and

determining that the success rate for the online ad campaign drops below a threshold on track rate.

17. A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computer system to:

determine a number of impressions to achieve desired gross rating points for an online ad campaign;

during a first time period of a campaign run time for the online ad campaign, bid on a first plurality of known ad opportunities corresponding to a first plurality of known polarized viewers in a database of known polarized viewers;

determine, during the first time period, that a success rate for the online ad campaign drops below a threshold on track rate;

receive, during a second time period of the campaign run time, a second plurality of known ad opportunities and a plurality of unknown ad opportunities from a remote server, wherein the second plurality of known ad opportunities corresponds to a second plurality of known polarized viewers in the database and the plurality of unknown ad opportunities correspond to unknown viewers; and

based on the determination that the success rate for the online ad campaign drops below the threshold on track rate;

send bid responses to the remote server for the second plurality of known ad opportunities and the first plurality of unknown ad opportunities; and

provide a first advertisement for display to a first client device of a first viewer from the unknown viewers and a second advertisement for display to a second client device of a second viewer from the second plurality of known polarized viewers.

18. The non-transitory computer readable medium of claim 17, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

determine, for a first unknown ad opportunity of the plurality of unknown ad opportunities, that the first unknown ad opportunity corresponds to at least one polarized media property in a database of known polarized media properties; and

sending a bid response for the first unknown ad opportunity in response to the determination that the first unknown ad opportunity corresponds to the at least one polarized media property in the database of known polarized media properties.

19. The non-transitory computer readable medium of claim 17, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

determine a targeted ratio of polarized viewer impressions to unknown viewer impressions to achieve the desired gross rating points for the online ad campaign; and

send the bid responses during the second time period based on the targeted ratio of polarized viewer impressions to unknown viewer impressions.

20. The non-transitory computer readable medium of claim 19, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

track a number of on-target impressions achieved during the online ad campaign; and

adjust the targeted ratio of polarized viewer impressions to unknown viewer impressions during the campaign run time based on the number of on-target impressions.

21. The non-transitory computer readable medium of claim 20, further comprising instructions that, when executed by the at least one processor, cause the computer system to:

compare the desired gross rating points and an actual gross rating points delivered during the online ad campaign; and

determine an adjusted targeted ratio of polarized viewer impressions to unknown viewer impressions for a subsequent online campaign based on the comparison.

22. The non-transitory computer readable medium of claim 17, further comprising instructions that, when executed by the at least one processor, cause the computer system to determine the number of impressions to achieve the desired gross rating points comprises by:

establishing the database of known polarized viewers including viewer characteristics and polarization probabilities for the known polarized viewers;

identifying targeting parameters for the online ad campaign; and

determining the number of impressions to achieve the desired gross rating points for the online ad campaign based on the targeting parameters and the polarization probabilities for the known polarized viewers.