Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.

Abstract: Disclosed herein are strategies for verifying placement of a direct measurement tag useful for measuring Internet traffic of a plurality of users at a website. For example, a method may include receiving web page identification data that is derived from user clickstream data, determining a URL associated with a domain based on the webpage identification information, and providing a measurement code verification web crawler with the URL and the depth to which to explore the domain for verifying measurement code placement with the web crawler.

Abstract: An aspect of the present invention relates to tracking a computer user's web browsing behavior by collecting web browser click events as a clickstream and and processing the clickstream in a parallel processing architecture.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.

Abstract: An aspect of the present invention relates to tracking and analyzing a computer user's behavior after viewing a particular search result or a particular advertisement to assess the impact of having viewed the search result or advertisement.

Abstract: An aspect of the present invention relates to tracking a computer user's behavior and providing related visual media segments with a graphical user interface. In embodiments, the visual media segments are slide-in visual media segments and the user has preemptive control over certain aspects of the visual media segments.

Abstract: This disclosure concerns a hybrid method for estimating Internet traffic including determining a fraction of a target population consisting of users displaying an identified characteristic by analysis of a census-based measurement of internet traffic for at least one website and receiving their clickstream data. The method also includes identifying a fraction of the group of participants that share the one or more characteristics, determining a behavioral composition by scaling the fraction of the group of participants by the fraction of the target population, and producing, at the host processing facility, an estimate of the target population's activity with respect to at least a part of the Internet that includes the at least one website by scaling the clickstream data for the subset of the group of participants by applying a weight based on the behavioral composition and the relative size of the target population.

Abstract: An aspect of the present invention relates to tracking a computer user's behavior and providing related visual media segments with a graphical user interface for presenting a survey. In embodiments, the survey is based on the tracked user behavior. In embodiments, the visual media segments are slide-in visual media segments and the user has preemptive control over certain aspects of the visual media segments.

Abstract: Disclosed herein are strategies for verifying placement of a direct measurement tag useful for measuring Internet traffic of a plurality of users at a website. For example, a method may include receiving web page identification data that is derived from user clickstream data, determining a URL associated with a domain based on the webpage identification information, and providing a measurement code verification web crawler with the URL and the depth to which to explore the domain for verifying measurement code placement with the web crawler.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.

Abstract: This disclosure concerns a hybrid method for estimating Internet traffic including determining a fraction of a target population consisting of users displaying an identified characteristic by analysis of a census-based measurement of internet traffic for at least one website and receiving their clickstream data. The method also includes identifying a fraction of the group of participants that share the one or more characteristics, determining a behavioral composition by scaling the fraction of the group of participants by the fraction of the target population, and producing, at the host processing facility, an estimate of the target population's activity with respect to at least a part of the Internet that includes the at least one website by scaling the clickstream data for the subset of the group of participants by applying a weight based on the behavioral composition and the relative size of the target population.

Abstract: Site metrics are presented in association with search results. The site metrics are derived from site analytics that 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 that is structured and analyzed to produce metrics of nearly any internet web site or domain. The data may be further augmented with 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, provides analysis that represents aspects of internet user access to a web site. Such aspects may include activity related to visitors, engagement, growth, trust, deals, and the like.

Abstract: Site metrics are presented in association with search results. The site metrics are derived from site analytics that 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 web site or domain. The data may be further augmented with ratings, such as web site 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 web site. Such aspects may include activity related to visitors, engagement, growth, trust, deals, and the like.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior. In embodiments, the output file enables the third party to match a distribution list for a product or service catalog to a region.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior. In embodiments, the output file enables the third party to select an offering for automobile sales by sales region or geography.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior. In embodiments, the output file enables the third party to track and analyze competitive product pricing.

Abstract: Taking a size and demographic composition of a target population; identifying a group of participants; determining demographic information for each member of the group; receiving clickstream data that connotes Internet activity of individual members of the group; producing an estimate of the target population's Internet activity by scaling the data for each member of the group to the relative size and demographic composition of the target population and the group by applying a weight to the clickstream data in view of the demographic information; and refining the estimate of the population's Internet activity by applying a weight to a subset of the data from the group of participants, wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment.

Abstract: Methods and systems are provided herein for the analysis of clickstream data of online users. The analysis methods and systems allow for the creation of new offline business methods based on online consumer behavior. In embodiments, the output file enables a third party to match a sales medium to a variety of financial service offerings.