Content item parameter filter

• US 8,326,806 B1
• Filed: 05/11/2007
• Issued: 12/04/2012
• Est. Priority Date: 05/11/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Baratloo, Arash, Rollins, Eric Christopher, Young, Benjamin J., Phang, Daniel Virabott
• Primary Examiner(s): Lin, Shew-Fen
• Assistant Examiner(s): Mincey, Jermaine
• Application Number:
  US11/747,367
• Time in Patent Office: 2,034 Days
• Field of Search: None
• US Class Current: 707/688
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A set of one or more candidate parameters associated with a content item is identified. A subset of the one or more candidate parameters is determined. Performance statistics associated with the one or more candidate parameters in the subset are monitored, and the set of one or more candidate parameters or the subset of the one or more candidate parameters are modified based on the performance statistics.

Claims

1. A computer-implemented method comprising:

receiving a selection of one or more advertiser keywords, from an advertiser, to associate with an advertisement;

automatically identifying one or more candidate keywords to associate with the advertisement, wherein the advertisement is associated with a cost and the one or more candidate keywords are different from the one or more advertiser keywords;

associating the one or more candidate keywords and the one or more advertiser keywords with the advertisement;

providing the advertisement in response to first content requests, wherein;

when the one or more candidate keywords satisfy a first content request without the one or more advertiser keywords satisfying the first content request, not charging the advertiser the cost upon a presentation or selection or conversion of the advertisement and;

when the one or more advertiser keywords satisfy the first content request without the one or more candidate keywords satisfying the first content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement;

monitoring performance statistics associated with the one or more candidate keywords associated with the advertisement provided in response to the first content requests;

identifying a subset of the one or more candidate keywords based on the monitored performance statistics, wherein each candidate keyword in the identified subset performs better than a predetermined threshold;

graduating, by one or more computers, the subset of candidate keywords for inclusion in a set of actual keywords, wherein the set of actual keywords includes at least one of the one or more advertiser keywords and at least one candidate keyword in the identified subset;

associating the set of actual keywords with the advertisement; and

subsequent to the graduation, providing the advertisement in response to second content requests, wherein when any keyword in the set of actual keywords satisfy a second content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement.

2. The method of claim 1, further comprising:

identifying one or more candidate creatives to include in the advertisement;

determining a subset of the one or more candidate creatives; and

associating the subset of the one or more candidate creatives with the advertisement.

3. The method of claim 1, wherein the performance statistics are actual performance statistics.

4. The method of claim 1, wherein the performance statistics are predicted performance statistics.

5. The method of claim 1, wherein the performance statistics comprise at least one of an impression associated with the one or more candidate keywords, a cost-per click associated with the one or more candidate keywords, a click or a conversion associated with the advertisement.

6. The method of claim 3, wherein the monitoring comprises:

evaluating the actual performance statistics to determine if one or more performance statistics performed below a threshold.

7. The method of claim 1, wherein identifying a subset of the one or more candidate keywords comprises:

ranking the one or more candidate keywords based on actual performance statistics associated with the one or more candidate keywords; and

identifying candidate keywords in the subset based at least in part on the ranking.

8. The method of claim 7, wherein identifying a subset of the one or more candidate keywords comprises:

modifying the subset of the one or more candidate keywords based at least in part on the ranking.

9. The method of claim 8, wherein the modifying comprises:

re-ranking the one or more candidate keywords.

13. The method of claim 2, further comprising:

providing advertisements in response to the first content requests, wherein the one or more candidate creatives satisfy the first content requests;

monitoring the performance statistics associated with the one or more candidate creatives in the subset associated with the advertisement provided in response to the first content requests;

modifying the subset of the one or more candidate creatives based on the performance statistics monitored;

associating one or more actual creatives with the advertisement, wherein the one or more actual creatives include the subset of the one or more candidate creatives; and

providing the advertisement in response to the second content requests, wherein the one or more actual creatives satisfy the second content requests.

18. The method of claim 1, wherein the one or more candidate keywords are identified without input by the advertiser.

19. The method of claim 1, wherein the one or more actual keywords are identified without input by the advertiser.

10. A system, comprising:

one or more computers; and

a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising;

receiving a selection of one or more advertiser keywords, from an advertiser, to associate with an advertisement;

automatically identifying one or more candidate keywords to associate with the advertisement, wherein the advertisement is associated with a cost and the one or more candidate keywords are different from the one or more advertiser keywords;

associating the one or more candidate keywords and the one or more advertiser keywords with the advertisement;

providing the advertisement in response to first content requests, wherein;

when the one or more candidate keywords satisfy a first content request without the one or more advertiser keywords satisfying the first content request, not charging the advertiser the cost upon a presentation or selection or conversion of the advertisement and;

when the one or more advertiser keywords satisfy the first request without the one or more candidate keywords satisfying the first content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement;

monitoring performance statistics associated with the one or more candidate keywords associated with the advertisement provided in response to the first content requests;

identifying a subset of the one or more candidate keywords based on the monitored performance statistics, wherein each candidate keyword in the identified subset performs better than a predetermined threshold;

graduating, by one or more computers, the subset of candidate keywords for inclusion in a set of actual keywords, wherein the set of actual keywords includes at least one of the one or more advertiser keywords and at least one candidate keyword in the identified subset;

associating the set of actual keywords with the advertisement; and

,

subsequent to the graduation, providing the advertisement in response to second content requests, wherein when any keyword in the set of actual keywords satisfy a second content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement.

11. The system of claim 10, further comprising:

ranking the one or more candidate keywords based on predicted performance statistics associated with the one or more candidate keywords; and

wherein automatically identifying one or more candidate keywords comprises identifying the one or more candidate keywords based on the ranking.

14. The system of claim 10, further comprising:

identifying one or more candidate creatives to associate with the advertisement;

determining a subset of the one or more candidate creatives; and

associating the subset of the one or more candidate creatives with the advertisement.

15. The system of claim 14, further comprising:

providing advertisements in response to the first content requests, wherein the one or more candidate creatives satisfy the first content requests;

monitoring the performance statistics associated with the one or more candidate creatives in the subset associated with the advertisement provided in response to the first content requests;

modifying the subset of the one or more candidate creatives based on the performance statistics monitored;

associating one or more actual creatives with the advertisement, wherein the one or more actual creatives include the subset of the one or more candidate creatives; and

providing the advertisement in response to the second content requests, wherein the one or more actual creatives satisfy the second content requests.

20. The system of claim 10, wherein the one or more candidate keywords are identified without input by the advertiser.

12. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations, comprising:

receiving a selection of one or more advertiser keywords, from an advertiser, to associate with an advertisement;

automatically identifying one or more candidate keywords to associate with the advertisement, wherein the advertisement is associated with a cost and the one or more candidate keywords are different from the one or more advertiser keywords;

associating the subset of the one or more candidate keywords and the one or more advertiser keywords with the advertisement;

providing the advertisement in response to first content requests, wherein;

when the one or more candidate keywords satisfy a first content request without the one or more advertiser keywords satisfying the first content request, not charging the advertiser the cost upon a presentation or selection or conversion of the advertisement and;

when the one or more advertiser keywords satisfy the first content request without the one or more candidate keywords satisfying the first content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement;

monitoring performance statistics associated with the one or more candidate keywords associated with the advertisement provided in response to the first content requests;

identifying a subset of the one or more candidate keywords based on the monitored performance statistics, wherein each candidate keyword in the identified subset performs better than a predetermined threshold;

graduating, by one or more computers, the subset of candidate keywords for inclusion in a set of actual keywords, wherein the set of actual keywords includes at least one of the one or more advertiser keywords and at least one candidate keyword in the identified subset;

associating the set of actual keywords with the advertisement; and

,

subsequent to the graduation, providing the advertisement in response to second content requests, wherein when any keyword in the set of actual keywords satisfy a second content request, charging the advertiser the cost upon a presentation or selection or conversion of the advertisement.

16. The computer storage medium of claim 12, further comprising:

identifying one or more candidate creatives to associate with the advertisement;

determining a subset of the one or more candidate creatives; and

associating the subset of the one or more candidate creatives with the advertisement.

17. The computer storage medium of claim 16, further comprising:

providing advertisements in response to the first content requests, wherein one or more candidate creatives from the subset of the one or more candidate creatives satisfy the first content requests;

monitoring the performance statistics associated with the one or more candidate creatives in the subset associated with the advertisement provided in response to the first content requests;

modifying the subset of the one or more candidate creatives based on the performance statistics monitored;

associating one or more actual creatives with the advertisement, wherein the one or more actual creatives include the subset of the one or more candidate creatives; and

providing the advertisement in response to the second content requests, wherein the one or more actual creatives satisfy the second content requests.

21. The computer storage medium of claim 12, wherein the one or more candidate keywords are identified without input by the advertiser.