Advertisement campaign simulator

• US 8,666,809 B2
• Filed: 09/28/2007
• Issued: 03/04/2014
• Est. Priority Date: 09/29/2006
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Martel, Mark, Rajaram, Gokul
• Primary Examiner(s): SORKOWITZ, DANIEL M
• Application Number:
  US11/864,633
• Publication Number:
  US 20080082400A1
• Time in Patent Office: 2,349 Days
• Field of Search: None
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0243 Comparative campaigns

Abstract

A shadow ad can be evaluated by receiving an ad request, identifying at least one shadow ad and at least one actual ad based on the received ad request, generating an ad ranking by analyzing one or more criteria associated with the identified at least one shadow ad and the at least one actual ad, and selecting one or more of the identified at least one shadow ad and the at least one actual ad based on the ad ranking. Further, the at least one shadow ad can be associated with one or more campaign parameters corresponding to a shadow ad campaign. Additionally, the ad request can be received from an online advertising system.

Claims

1. A computer-implemented method comprising:

receiving an ad request;

identifying, by an ad server, at least one shadow ad and at least one actual ad based on the received ad request, wherein an actual ad is eligible for presentation to an ad recipient while a shadow ad is selected based on the ad request but is not eligible to be presented to the ad recipient;

generating, by the ad server, a ranking of advertisements that ranks the identified shadow ad against the actual ad;

selecting, by the ad server, a highest-ranked actual ad in the ranking of advertisements for presentation to an ad recipient associated with the ad request;

providing the selected highest-ranked actual ad for presentation to the ad recipient associated with the ad request; and

determining one or more performance metrics for the shadow ad.

2. The method of claim 1, wherein generating a ranking of advertisements that ranks the identified shadow ad against the actual ad comprises conducting a shadow auction for the ad request including ranking the actual ad and the shadow ad based on actual ad campaign data associated with the actual ad and shadow ad campaign data associated with the shadow ad.

3. The method of claim 2, wherein identifying at least one shadow ad and at least one actual ad further comprises:

comparing one or more campaign parameters associated with the at least one shadow ad with one or more criteria included in the ad request to determine a match.

4. The method of claim 1, wherein determining one or more performance metrics for the shadow ad comprises determining a performance metric for the shadow ad if it were presented on a content page associated with the ad recipient.

5. The method of claim 1, wherein the generated ranking of advertisements represents a simulated display order of the actual ad and the shadow ad on a content page associated with the ad recipient.

6. The method of claim 5, further comprising:

determining that the shadow ad would be selected for display on the content page associated with the ad recipient; and

in response to determining that the shadow ad would be selected for display on the content page associated with the ad recipient, recording a charge in shadow ad campaign data associated with the shadow ad.

7. The method of claim 1, wherein the ad request is received from an online advertising system.

8. A computer program product, encoded on a computer-readable storage device, operable to cause data processing apparatus to perform operations comprising:

receiving an ad request;

identifying at least one shadow ad and at least one actual ad based on the received ad request, wherein an actual ad is eligible for presentation to an ad recipient while a shadow ad is selected based on the ad request but is not eligible to be presented to the ad recipient;

generating a ranking of advertisements that ranks the identified shadow ad against the actual ad; and

selecting a highest-ranked actual ad in the ranking of advertisements for presentation to an ad recipient associated with the ad request;

providing the selected highest-ranked actual ad for presentation to the ad recipient associated with the ad request; and

determining one or more performance metrics for the shadow ad.

9. The computer program product of claim 8, wherein generating a ranking of advertisements that ranks the identified shadow ad against the actual ad comprises conducting a shadow auction for the ad request including ranking the actual ad and the shadow ad based on actual ad campaign data associated with the actual ad and shadow ad campaign data associated with the shadow ad.

10. The computer program product of claim 9, wherein identifying at least one shadow ad and at least one actual ad further comprises:

comparing one or more campaign parameters associated with the at least one shadow ad with one or more criteria included in the ad request to determine a match.

11. The computer program product of claim 8, wherein determining one or more performance metrics for the shadow ad comprises determining a performance metric for the shadow ad if it were presented on a content page associated with the ad recipient.

12. The computer program product of claim 8, wherein the generated ranking of advertisements represents a simulated display order of the actual ad and the shadow ad on a content page associated with the ad recipient.

13. The computer program product of claim 12, wherein the operations further comprise:

determining that the shadow ad would be selected for display on the content page associated with the ad recipient; and

in response to determining that the shadow ad would be selected for display on the content page associated with the ad recipient, recording a charge in shadow ad campaign data associated with the shadow ad.

14. The computer program product of claim 8, wherein the ad request is received from an online advertising system.

15. A system comprising:

an ad database storing at least one shadow ad and at least one actual ad; and

a shadow ad server configured to perform operations comprising;

receiving an ad request;

identifying in the ad database at least one shadow ad and at least one actual ad based on the received ad request, wherein an actual ad is eligible for presentation to an ad recipient while a shadow ad is selected based on the ad request but is not eligible to be presented to the ad recipient;

generating a ranking of advertisements that ranks the identified shadow ad against the actual ad;

selecting a highest-ranked actual ad in the ranking of advertisements for presentation to an ad recipient associated with the ad request;

providing the selected highest-ranked actual ad for presentation to the ad recipient associated with the ad request; and

determining one or more performance metrics for the shadow ad.

16. The system of claim 15, wherein generating a ranking of advertisements that ranks the identified shadow ad against the actual ad comprises conducting a shadow auction for the ad request including ranking the actual ad and the shadow ad based on actual ad campaign data associated with the actual ad and shadow ad campaign data associated with the shadow ad.

17. The system of claim 16, wherein the operations comprising identifying at least one shadow ad and at least one actual ad further comprise:

comparing one or more campaign parameters associated with the at least one shadow ad with one or more criteria included in the ad request to determine a match.

18. The system of claim 15, wherein determining one or more performance metrics for the shadow ad comprises determining a performance metric for the shadow ad if it were presented on a content page associated with the ad recipient.

19. The system of claim 15, wherein the generated ranking of advertisements represents a simulated display order of the actual ad and the shadow ad on a content page associated with the ad recipient.

20. The system of claim 19, wherein the shadow ad server is further configured to perform operations comprising:

determining that the shadow ad would be selected for display on the content page associated with the ad recipient; and

in response to determining that the shadow ad would be selected for display on the content page associated with the ad recipient, recording a charge in shadow ad campaign data associated with the shadow ad.

21. The system of claim 15, wherein the shadow ad server is further configured to perform operations comprising:

receiving the ad request from an online advertising system.

22. A computer-implemented method comprising:

maintaining a data repository comprising one or more shadow ads and one or more actual ads;

receiving at least one ad criteria;

retrieving from the data repository, by an ad server, at least one shadow ad and at least one actual ad where an actual ad is to be shown to an ad recipient while a shadow ad is selected based on the ad criteria but is not eligible to be presented to the ad recipient;

generating, by the ad server, a ranking of advertisements that ranks the retrieved shadow ad against at least one actual ad based on the received ad criteria; and

updating data corresponding to the retrieved shadow ad in accordance with the ranking.