Systems and Methods for Identifying and Measuring Trends in Consumer Content Demand Within Vertically Associated Websites and Related Content

• US 20090204478A1
• Filed: 02/09/2009
• Published: 08/13/2009
• Est. Priority Date: 02/08/2008
• Status: Active Grant

• Current Assignee: Outbrain Incorporated
• Original Assignee: Vertical Acuity, Inc. (Outbrain Incorporated)
• Inventors: Hofmann, Joshua Michael, Kaib, Paul Edward, Walker, Brent Allen, Freishtat, Gregg
• Granted Patent: US 10,269,024 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

Embodiments of the invention can provide systems and methods for identifying and measuring trends in consumer content demand within a vertical network of websites and related content. In one embodiment, a method can include receiving, from a crawler, content from a plurality of webpages in at least one vertical. The method can include receiving, from a processor, data associated with a plurality of selected keywords associated with the at least one vertical, wherein one or more associations between at least a portion of the plurality of selected keywords can be generated. In addition, the method can include receiving, from a processor, session data associated with a plurality of consumers accessing content in webpages in the at least one vertical. Furthermore, the method can include determining third party data associated with the plurality of consumers accessing at least a portion of webpages comprising at least one of the selected keywords. Moreover, the method can include aggregating, based at least in part on the third party data, session data associated with visits to the webpages comprising at least one of the selected keywords.

Claims

1. A method for identifying and measuring a trend in consumer content demand within vertically associated websites and related content, comprising executing computer-executable instructions performed by one or more processors, the method comprising:

receiving, from a crawler, content from a plurality of webpages in at least one vertical;

receiving, from a processor, data associated with a plurality of selected keywords associated with the at least one vertical, wherein one or more associations between at least a portion of the plurality of selected keywords can be generated;

receiving, from a processor, session data associated with a plurality of consumers accessing content in webpages in the at least one vertical;

determining third party data associated with the plurality of consumers accessing at least a portion of webpages comprising at least one of the selected keywords; and

aggregating, based at least in part on the third party data, session data associated with visits to the webpages comprising at least one of the selected keywords.

2. The method of claim 1, wherein receiving, from a processor, data associated with a plurality of selected keywords associated with the at least one vertical further comprises receiving expert data associated with the plurality of selected keywords associated with the at least one vertical.

3. The method of claim 1, further comprising

combining crawled content with session data by matching uniform resource locators for a particular consumer session.

4. The method of claim 1, further comprising:

determining at least one classification for some or all of the portion of webpages accessed by at least some of the plurality of consumers or comprising at least one of the selected keywords, wherein the at least one classification can be used to generate at least one report comprising a statistic associated with the at least one vertical.

5. The method of claim 1, further comprising:

outputting at least one report comprising a statistic associated with the at least one vertical.

6. The method of claim 1, wherein the at least one vertical comprises at least one of the following:

automobile industry, a type of vehicle, consumer product industry, a type of consumer product, entertainment, a type of entertainment, music industry, a type of music, motion pictures, a type of motion picture, pharmaceuticals, a type of pharmaceutical, clothing or apparel industry, a type of clothing or apparel, financial products and services, and a type of financial product or service.

7. The method of claim 1, wherein the session data comprises at least one of the following:

a uniform resource locator, an Internet protocol (IP) address, alphanumeric text input by a consumer, a browser type, time associated with a consumer activity in accessing or requesting content from a webpage or a website, and any combination thereof.

8. The method of claim 1, wherein the third party data comprises at least one of the following:

geolocation data, external sales data, consumer demographic information, consumer age data, IP (Internet Protocol) address, zip code, area code, location coordinate, geocode, and any combination thereof.

9. A system for identifying and measuring a trend in consumer content demand within vertically associated websites and related content, the system comprising:

a crawler operable to;

receive content from a plurality of webpages in at least one vertical;

a vertical domain model module operable to;

receive data associated with a plurality of selected keywords associated with the at least one vertical, wherein one or more associations between at least a portion of the plurality of selected keywords can be generated;

a tracking and recording application operable to;

receive session data associated with a plurality of consumers accessing content in webpages in the at least one vertical; and

determine third party data associated with the plurality of consumers accessing at least a portion of webpages comprising at least one of the selected keywords; and

a data integration service module operable to;

aggregate, based at least in part on the third party data, session data associated with visits to the webpages comprising at least one of the selected keywords.

10. The system of claim 9, wherein the vertical domain model module is further operable to:

receive expert data associated with the plurality of selected keywords associated with the at least one vertical.

11. The system of claim 9, wherein the data integration service module is further operable to:

combine crawled content with session data by matching uniform resource locators for a particular consumer session.

12. The system of claim 9, wherein the data integration service module is further operable to:

receive at least one classification for some or all of the portion of webpages accessed by at least some of the plurality of consumers or comprising at least one of the selected keywords, wherein the at least one classification can be used by the data integration service module to generate at least one report comprising a statistic associated with the at least one vertical.

13. The system of claim 9, wherein the data integration service module is further operable to:

output at least one report comprising a statistic associated with the at least one vertical.

14. The system of claim 9, wherein the at least one vertical comprises at least one of the following:

automobile industry, a type of vehicle, consumer product industry, a type of consumer product, entertainment, a type of entertainment, music industry, a type of music, motion pictures, a type of motion picture, pharmaceuticals, a type of pharmaceutical, clothing or apparel industry, a type of clothing or apparel, financial products and services, and a type of financial product or service.

15. The system of claim 9, wherein the session data comprises at least one of the following:

a uniform resource locator, an Internet protocol (IP) address, alphanumeric text input by a consumer, a browser type, time associated with a consumer activity in accessing or requesting content from a webpage or a website, and any combination thereof.

16. The system of claim 9, wherein the third party data comprises at least one of the following:

geolocation data, external sales data, consumer demographic information, consumer age data, IP (Internet Protocol) address, zip code, area code, location coordinate, geocode, and any combination thereof.

17. The system of claim 9, wherein the tracking and recording application module is further operable to:

receive data from at least one tracking tag associated with a webpage.

18. The system of claim 9, wherein the tracking and recording application module is further operable to:

normalize data comprising at least one of;

session data, third party data, and geolocation data.

19. A method for identifying and measuring a trend in consumer content demand within vertically associated websites, the method comprising:

identifying, via at least one processor, at least one keyword on a plurality of webpages in at least one vertical;

receiving, via at least one processor, session data associated with a consumer'"'"'s webpage activity;

determining time of consumer focus based at least in part on at least one of the following;

mouse movement, window focus, and page unload time; and

aggregating, via at least one processor, consumer data associated with consumer focus based at least in part on the at least one keyword on the plurality of webpages in the at least one vertical.

20. The method of claim 19, wherein the at least one vertical comprises at least one of the following:

automobile industry, a type of vehicle, consumer product industry, a type of consumer product, entertainment, a type of entertainment, music industry, a type of music, motion pictures, a type of motion picture, pharmaceuticals, a type of pharmaceutical, clothing or apparel industry, a type of clothing or apparel, financial products and services, and a type of financial product or service.