Abstract: Methods, systems and apparatus, including computer program products are described for formatting and sending data corresponding to web page events and user interactions with content displayed by on a web page to a web analytics system for storage and reporting.

Abstract: A computer-implemented method for generating and sharing dataset segment schemes of a multidimensional dataset at a client device is provided. The client device displays a first filter definition template and an attribute list. Upon detecting a user selection of a first attribute, the client device displays the first attribute and one or more candidate filter conditions in the first filter definition template. Upon detecting a user selection of a first filter condition in the first filter definition template, the client device submits a segment scheme generation request to the server system and receives from the server system a first segment identifier; and displays a first segment link at the client device, the first segment link including the first segment identifier.

Abstract: A system and method for presenting custom variables to a user of a web analytics system. An activity file of a web server is received, wherein the activity file includes activity file hit records that provide information about respective requests for documents made by visitors of web sites. A custom variable tag of an activity file hit record in the activity file is identified. Attribute-value pairs of the custom variable tag are then extracted. The attribute-value pairs of the custom variable tag are stored in a database hit record of a database of the server. One or more attribute-value pairs of a plurality of custom variable tags assigned to the custom variable of the web site are then prepared to be presented to a user, wherein the user is separate and distinct from the authors of the documents of the web site.

Abstract: A publisher web page is rendered at a client device from a publisher and the client device issues a request for traffic statistics data related to traffic content in the web page. The client device receives the traffic statistics data and overlays the traffic statistics data on the web page, e.g., proximate to the related traffic content in the web page.

Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

Abstract: Systems, methods and apparatus for analyzing Internet traffic. In an aspect, a method receives at a server from a client device a report request for a report related to web site traffic; in response to the report request, sends from the server web site traffic data and application code to the client device, the application code comprising instructions that cause the client device to: generate a report to display the web site traffic data, time the display of the web site traffic data, periodically request updated web site traffic data according to the time of the display, and update the report with the updated web site traffic data; and the method sends from the server to the client device the updated web site traffic data in response to the request for updated web site traffic data.

Abstract: Methods, systems and apparatus, including computer program products, for transferring, receiving, and storing multiple element data in a string of characters. Multiple data elements are sent in a string of delimited characters and have respective project identifiers, data types, and index numbers used to extract and store the data elements at a receiving computer.

Abstract: A system and method for monitoring and analyzing Internet traffic is provided that is efficient, completely automated, and fast enough to handle the busiest websites on the Internet, processing data many times faster than existing systems. The system and method of the present invention processes data by reading log files produced by web servers, or by interfacing with the web server in real time, processing the data as it occurs. The system and method of the present invention can be applied to one website or thousands of websites, whether they reside on one server or multiple servers. The multi-site and sub-reporting capabilities of the system and method of the present invention makes it applicable to servers containing thousands of websites and entire on-line communities. In one embodiment, the system and method of the present invention includes e-commerce analysis and reporting functionality, in which data from standard traffic logs is received and merged with data from e-commerce systems.

Abstract: A server system stores time series data for a data source. The time series data comprises a plurality of time-value pairs, each pair including a value associated with an attribute of the data source and a time. For a particular attribute, the server system generates a plurality of forecasting models for characterizing the time-value pairs, each model including an estimated attribute value and an associated error-variance. For a time-value pair, the server system determines a plurality of differences between the value of the time-value pair and respective estimated attribute values of the plurality of forecasting models and tags the time-value pair as an anomaly if the differences for at least a first subset of the forecasting models are greater than the corresponding error variances. In response to a request from a client application, the server system returns at least a subset of the time-value pairs tagged as anomalies.

Abstract: A graphical user interface is used for presenting time series data and anomalies associated with a data source on a computer display. The graphical user interface has first and second windows. The first window includes a graph of time series data values for an attribute of the data source and a histogram of anomalies of the data source, each corresponding to a value of a respective attribute that is substantially different from an expected value of the attribute. The second window includes a list of automatic alerts characterizing a set of anomalies of the data source at a particular time. In response to a user adjustment of a sensitivity threshold, a new histogram of anomalies is rendered to replace the existing histogram of anomalies in the first window and a new list of automatic alerts is rendered to replace the existing list of automatic alerts in the second window.

Abstract: A server system stores web analytics data for a web page in a device. The web analytics data comprises a plurality of prior time-value pairs, each pair including a value of an attribute associated with the web page and a time associated with the value. For a particular attribute, the server system collects a new time-value pair including a new value associated with the web page and a new time indicating when the value was determined. The server system estimates a predicted value for the attribute and an associated error-variance at the new time by applying a forecasting model to the prior time-value pairs in respective subsets of the web analytics data. The collected new time-value pair is tagged if its value is outside the error variance of the predicted value for the particular attribute.

Abstract: A system and method for presenting custom variables to a user of a web analytics system. An activity file of a web server is received, wherein the activity file includes activity file hit records that provide information about respective requests for documents made by visitors of web sites. A custom variable tag of an activity file hit record in the activity file is identified. Attribute-value pairs of the custom variable tag are then extracted. The attribute-value pairs of the custom variable tag are stored in a database hit record of a database of the server. One or more attribute-value pairs of a plurality of custom variable tags assigned to the custom variable of the web site are then prepared to be presented to a user, wherein the user is separate and distinct from the authors of the documents of the web site.

Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

Abstract: A computer-implemented method for visualizing a multi-dimensional dataset at a client device is disclosed. The client device displays a first view of a subset of the multi-dimensional dataset, including displaying dimension data of a first reference dimension attribute and metric data of a first metric attribute that corresponds to the respective first reference dimension data along a first axis. After receiving a user request to partition the metric data of the first metric attribute by a first pivot dimension attribute, the client device requests and receives dimension data of the first pivot dimension attribute and the corresponding partitioned metric data of the first metric attribute from a server system and displays a second view of the subset of the multi-dimensional dataset, including displaying the first pivot dimension data and the corresponding partitioned metric data of the first metric attribute along the second axis.

Abstract: A computer-implemented method for generating and sharing dataset segment schemes of a multidimensional dataset at a client device is disclosed. The client device displays a first filter definition template and an attribute list. Upon detecting a user selection of a first attribute, the client device displays the first attribute and one or more candidate filter conditions in the first filter definition template. Upon detecting a user selection of a first filter condition in the first filter definition template, the client device submits a segment scheme generation request to the server system and receives from the server system a first segment identifier; and displays a first segment link at the client device, the first segment link including the first segment identifier.

Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

Abstract: A system and method for monitoring and analyzing Internet traffic is provided that is efficient, completely automated, and fast enough to handle the busiest websites on the Internet, processing data many times faster than existing systems. The system and method of the present invention processes data by reading log files produced by web servers, or by interfacing with the web server in real time, processing the data as it occurs. The system and method of the present invention can be applied to one website or thousands of websites, whether they reside on one server or multiple servers. The multi-site and sub-reporting capabilities of the system and method of the present invention makes it applicable to servers containing thousands of websites and entire on-line communities. In one embodiment, the system and method of the present invention includes e-commerce analysis and reporting functionality, in which data from standard traffic logs is received and merged with data from e-commerce systems.

Abstract: A system and method for monitoring and analyzing Internet traffic is provided that is efficient, completely automated, and fast enough to handle the busiest websites on the Internet, processing data many times faster than existing systems. The system and method of the present invention processes data by reading log files produced by web servers, or by interfacing with the web server in real time, processing the data as it occurs. The system and method of the present invention can be applied to one website or thousands of websites, whether they reside on one server or multiple servers. The multi-site and sub-reporting capabilities of the system and method of the present invention makes it applicable to servers containing thousands of websites and entire on-line communities. In one embodiment, the system and method of the present invention includes e-commerce analysis and reporting functionality, in which data from standard traffic logs is received and merged with data from e-commerce systems.