Data packet transmission optimization of data used for content item selection

• US 10,630,788 B2
• Filed: 11/15/2018
• Issued: 04/21/2020
• Est. Priority Date: 01/11/2017
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: James, Gavin, Lewis, Justin
• Primary Examiner(s): Won, Michael
• Application Number:
  US16/191,945
• Publication Number:
  US 20190089793A1
• Time in Patent Office: 523 Days
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Systems and methods for providing third-party content can include a data processing system receiving criteria defining online activities of an online activity type related to a product or service context from a computing device of a third-party content provider. The data processing system can identify a cluster of client devices based on the defined online activities, and determine a subset of keywords associated with the defined online activities and the identified cluster of client devices. The data processing system can determine a performance metric of the subset of keywords based on the cluster of client devices, and provide the subset of keywords and the performance metric to the computing device. The data processing system can receive from the computing device a parameter value of a first keyword of the subset of keywords to use in selecting content items of the third-party content provider associated with the first keyword.

Claims

1. A system to optimize exchange of data used for third-party content selection, comprising:

one or more processors; and

a memory storing computer code instructions stored thereon, the computer code instructions when executed cause the one or more processors to;

receive, via a user interface, selection criteria indicative of a product or service context of interest to a third party content provider, the selection criteria including at least a predetermined client device type and a predetermined time period;

access, from a database, using the selection criteria including a device type, a data structure maintaining a plurality data records, each of the plurality of data records indicating at least one online activity associated with (i) a device identifier of a client device that performed the online activity, (ii) a time stamp, and (iii) one or more keywords;

match, using the selection criteria including the device type, a plurality of data records, each of the plurality of data records including (i) a time stamp within the predetermined time period, and (ii) a device type the same as the predetermined client device type to determine a selected plurality of client device identifiers;

identify, using the data records, a plurality of keywords associated with the selected plurality of client device identifiers

for recommending to the third party content provider to use in providing third party content related to the product or service context;

determine performance metric values of the plurality of keywords based on online activities indicated in the data records associated with the selected plurality of client device identifiers; and

provide, to a computing device associated with the third-party content provider, access to the plurality of keywords and the performance metric values.

2. The system of claim 1, wherein the selection criteria include an indication of a product, or a service.

3. The system of claim 1, wherein the selection criteria include an indication of a product category, a service category.

4. The system of claim 1, wherein the selection criteria include an indication of an information resource.

5. The system of claim 1, wherein the selection criteria include an indication of geographical location.

6. The system of claim 1, wherein the performance metric values include click-through-rates (CTR) rates of the plurality of keywords within the plurality of client devices.

7. The system of claim 1, wherein the performance metric values include conversion rates of the plurality of keywords within the plurality of client devices.

8. The system of claim 1, wherein the computer code instructions when executed cause the one or more processors to:

rank the plurality of keywords based on the performance metric values; and

provide access, for the computing device of the third-party content provider, to ranking values of the subset of keywords.

9. The system of claim 1, wherein the computer code instructions when executed cause the one or more processors to:

identify one or more other keywords having similar attributes as the plurality of keywords; and

update the plurality of keywords to further include the one or more other keywords, the performance metric values determined based on the updated plurality of keywords.

10. The system of claim 1, wherein the online activities indicated by the plurality of data records include at least one of online purchases, online searches, or access events of an information resource.

11. A method of providing third-party content based on keyword performances, comprising:

receiving, by a data processing system, via a user interface, selection criteria indicative of a product or service context of interest to a third party content provider, the selection criteria including at least a predetermined client device type and a predetermined time period;

accessing, by the data processing system, from a database, using the selection criteria including a device type, a data structure maintaining a plurality data records, each of the plurality of data records indicating at least one online activity associated with (i) a device identifier of a client device that performed the online activity, (ii) a time stamp, and (iii) one or more keywords;

matching, by the data processing system, using the selection criteria including the device type, a plurality of data records, each of the plurality of data records including (i) a time stamp within the predetermined time period, and (ii) a device type the same as the predetermined client device type to determine a selected plurality of client device identifiers

identifying, by the data processing system, using the data records, a plurality of keywords associated with the selected plurality of client device identifiers;

for recommending to the third party content provider to use in providing third party content related to the product or service context;

determining, by the data processing system, performance metric values of the plurality of keywords based on online activities included in the data records associated with the selected plurality of client device identifiers; and

providing, by the data processing system, to a computing device associated with the third-party content provider, access to the plurality of keywords and the performance metric values.

12. The method of claim 11, wherein the selection criteria include an indication of a product, a service, a product category, a service category.

13. The method of claim 11, wherein the selection criteria include an indication of an information resource.

14. The method of claim 11, wherein the selection criteria include an indication of geographical location.

15. The method of claim 11, wherein the performance metric values include click-through-rates (CTR) rates of the subset of keywords within the cluster of client devices.

16. The method of claim 11, wherein the performance metric values include conversion rates of the subset of keywords within the cluster of client devices.

17. The method of claim 11, wherein the computer code instructions when executed cause the one or more processors to:

rank the plurality of keywords based on the performance metric values; and

provide access, for the computing device of the third-party content provider, to ranking values of the plurality of keywords.

18. The method of claim 11, wherein the computer code instructions when executed cause the one or more processors to:

identify one or more other keywords having similar attributes as the plurality of keywords; and

update the plurality of keywords to further include the one or more other keywords, the performance metric values determined based on the updated plurality of keywords.

19. The method of claim 11, wherein the online activities indicated by the data records include at least one of online purchases, online searches, or access events of an information resource.

20. A non-transitory computer-readable medium comprising computer code instructions stored thereon, the computer code instructions when executed cause a data processing system to:

receive, via a user interface, selection criteria indicative of a product or service context of interest to a third party content provider, the selection criteria including at least a predetermined client device type and a predetermined time period;

access, from a database, using the selection criteria including a device type, a data structure maintaining a plurality data records, each of the plurality of data records indicating at least one online activity associated with (i) a device identifier of a client device that performed the online activity, (ii) a time stamp, and (iii) one or more keywords;

match, using the selection criteria including the device type, a plurality of data records, each of the plurality of data records including (i) a time stamp within the predetermined time period, and (ii) a device type the same as the predetermined client device type to determine a selected plurality of client device identifiers;

identify, using the data records, a plurality of keywords associated with the selected plurality of client device identifiers for recommending to the third party content provider to use in providing third party content related to the product or service context;

determine performance metric values of the plurality of keywords based on online activities indicated in the data records performed by associated with the selected plurality of client device identifiers; and

provide, to a computing device associated with the third-party content provider, access to the plurality of keywords and the performance metric values.