Google Inc.

Japjit Tulsi

Hui Sok Moon

Chao Cai

Lik Mui

Ming Lei

Robert A Walker

Cameron Michael Tangney

Eric W Ewald

Zhimin He

Sagnik Nandy

Jan Matthias Ruhl

Sissie Ling-Ie Hsiao

Douglas Van Der Molen

Elizabeth L Liebert

Ognjen Nikolic

Kasem Marifet

Leo Baghdassarian

Paul Nicolas Muret

Matthew Robert Jones

Sissie Ling-le Hsiao

Ashok Babu Amara

Liren Chen

Martin Ohman

Simon Wang

Douglas VanderMolen

Douglas Vander Molen

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Conversion path performance measures and reports

Tracking data communications are received for single properties that include ambiguous event statistics. The event statistics are disambiguated by an analytics processing system by identifying account and visitor identifier pairs from account identifiers and visitor identifiers in the tracking data communications. For each account and visitor identifier pair, ambiguous event statistics are ordered by the corresponding event times and disambiguated.

Server side disambiguation of ambiguous statistics

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.

Method and system for detecting anomalies in web analytics data

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.

Method and system for detecting anomalies in time series data

A computer-implemented method for displaying annotations for a multidimensional dataset at a client device is disclosed. The client device is connected to a server system through a network. The client device displays a first view of the multidimensional dataset. The first view includes a first graph over a period of time and a plurality of annotations, each annotation corresponding to a respective time segment within the period of time. Upon receiving a user selection of one of the plurality of annotations, the client device displays a second view of the multidimensional dataset. The second view includes a second graph over the period of time and the plurality of annotation. Finally, the client device highlights the user-selected annotation among the plurality of annotations and the time segment corresponding to the user-selected annotation in the second graph.

Method and system for generating and sharing analytics annotations

Method and system for using web analytics data for detecting anomalies

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.

Web analytics event tracking system

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.

Extensible custom variables for tracking user traffic

Growing community of inventors

Los Altos, CA, United States of America

Japjit Tulsi