WEBSITE ANALYTICS

• US 20080183745A1
• Filed: 09/25/2007
• Published: 07/31/2008
• Est. Priority Date: 09/25/2006
• Status: Abandoned Application

• Current Assignee: comScore, Inc.
• Original Assignee: comScore, Inc.
• Inventors: Mahony, TJ, Cancel, David
• Application Number:
  US11/860,963
• Publication Number:
  US 20080183745A1
• Time in Patent Office: Days
• US Class Current: 707/102
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Site analytics uses clickstream data collected from a panel of internet users to generate and present internet activity metrics. Data collected from a community of internet users may be augmented by clickstream data store content, third party content, search results, and other sources to form estimates of internet activity, such as traffic, that is structured and analyzed to produce metrics of nearly any internet website or domain. The data may be further augmented with ratings, such as website trust ratings, retail deals, and analysis of web site content to form a comprehensive set of data that is mined to formulate various metrics of internet activity about web sites. Metrics of internet activity, a.k.a. site analytics, provides analysis that represents aspects of internet user access to a website. Such aspects may include activity related to visitors, engagement, growth, trust, deals, and the like.

Claims

1. A method comprising:

collecting statistical information related to usage of a web site by a panel of users;

processing the statistical information to generate site metrics based on the usage of the web site by the panel;

presenting an interface element indicative of site metric availability in a toolbar of a web browser; and

upon interaction with the interface element, presenting a site metric to a user.

2. The method of claim 1, further including:

calculating a trust metric based on the site metrics and one or more of web site characteristics, a third-party score, and a third-party security service; and

associating the trust metric with an indication of web site trust that is presented in a web browser toolbar.

3. The method of claim 2, wherein the trust metric is calculated using an algorithm that incorporates aspects of a web site selected from a set consisting of spyware, phishing, online scams, unwanted downloads, spoofing, a domain associated with the site, and the site owner.

4. The method of claim 1, wherein the statistical information includes at least one of clickstream data from a panel of users, a clickstream data store, estimated internet traffic, popularity information, user generated rankings, site characteristics, a third-party score, and a third-party security service.

5. The method of claim 1, wherein the site metrics include at least one of user volume, user dwell time, user activity, user purchases, user downloads, click-throughs, click-aways, pageview ranking, user ranking, top search terms, other sites visited, site popularity, site profile, people count, rank, visitors, attention, average stay, page views, and velocity.

6. A method comprising:

collecting statistical information related to usage of a web site by a panel of users;

processing the statistical information to generate site metrics based on the usage of the web site by the panel;

presenting an interface element indicative of site metric availability in a search result; and

upon interaction with the interface element, presenting a site metric to a user.

7. The method of claim 6, further including:

calculating a trust metric based on the site metrics and one or more of web site characteristics, a third-party score, and a third-party security service; and

associating the trust metric with an indication of web site trust that is presented in association with the indication of site metric availability in a search result.

8. The method of claim 7, wherein the trust metric is calculated using an algorithm that incorporates aspects of a web site selected from a set consisting of spyware, phishing, online scams, unwanted downloads, spoofing, a domain associated with the site, and the site owner.

9. The method of claim 7, wherein the trust metric pertains to a domain referenced in the search result.

10. The method of claim 6, wherein the statistical information includes at least one of clickstream data from a panel of users, a clickstream data store, estimated internet traffic, popularity information, user generated rankings, site characteristics, a third-party score, and a third-party security service.

11. The method of claim 6, wherein the site metrics include at least one of user volume, user dwell time, user activity, user purchases, user downloads, click-throughs, click-aways, pageview ranking, user ranking, top search terms, other sites visited, site popularity, site profile, people count, rank, visitors, attention, average stay, page views, and velocity.

12. A method comprising:

providing a database of deals, wherein the deals are associated with an on-line domain;

determining a domain that is associated with one of a URL included in a search result and a web site presented in a web browser; and

querying the database of deals to identify one or more deals that are associated with the determined domain to provide an indication of available deals.

13. The method of claim 12, wherein the search result includes the indication of available deals.

14. The method of claim 12, wherein the indicator of available deals is presented in a toolbar of the web browser.

15. The method of claim 12, wherein the indication of available deals includes availability of one or more of on-line redeemable deals and off-line redeemable deals.

16. The method of claim 15, wherein the availability of off-line redeemable deals is determined by analyzing the URL to identify an off-line store name, and querying the deals database to identify deals associated with the off-line store name.

17. The method of claim 16, wherein the off-line store is an off-line location of a business presented in the web site.

18. A method comprising:

collecting statistical information related to internet usage of a panel of users;

processing the statistical information to estimate internet traffic based on the usage of the internet by the panel; and

generating a web site profile from the estimated internet traffic, wherein the site profile is associated with a domain that is one of referenced in a search result and represented by a website presented in a web browser.

19. The method of claim 18, wherein the search result includes an icon for accessing the profile metrics.

20. The method of claim 18, wherein an icon for accessing the site profile is presented in a toolbar of the web browser.

21. The method of claim 18, wherein the site profile includes a plurality of site metrics selected from a set consisting of user volume, user dwell time, user activity, user purchases, user downloads, click-throughs, click-aways, pageview ranking, user ranking, top search terms, other sites visited, site popularity, site profile, people count, rank, visitors, attention, average stay, page views, and velocity.

22. A method comprising:

receiving a search request;

generating search results in response to the request;

querying a clickstream data store of statistical information related to internet usage by a panel of users to identify a relevance of the search results; and

displaying the search results in order of relevance.

23. The method of claim 22, wherein relevance is determined by post-search clickstream activity of a plurality of users.

24. The method of claim 22, further comprising displaying a visual indicator adjacent to a search result that includes one or more of an indicator of web site trust, site analytics, and an indicator of available deals.

25. The method of claim 22, further comprising displaying a snapshot overlay associated with a search result comprising one or more of an indicator of web site trust, site analytics, and an indicator of available deals.