Google Inc.

Jerry Hong

Sagnik Nandy

Evan Huang

Madhu Kallazhi Vasu

Naomi Ben-Ayoun

James Lee Wogulis

Paul Nicolas Muret

Bradley David Townsend

Lucas Paul Hansen

Neil Campbell Rhodes

Avi Mehta

Stella Marie Laurenzo

Lin Liao

Peng Li

Lucas Pettinati

Zhiting Xu

Manuel Frank Martinez

Fenghui Zhang

Jin Yao

Jiajing Wang

Ashok Babu Amara

Nick Mihailovski

The subject technology provides configurations for propagating information from an initial analytics tracking data communication to subsequent analytics tracking data communications at an analytics server. In one example, the subject technology receives an analytics tracking data communication. The subject technology determines if the received analytics tracking data communication includes state changing information based on analytics tracking data included in the analytics tracking data communication. The subject technology then determines one or more attributes for propagating to subsequent analytics tracking data if the analytics tracking data communication includes state changing information. The state changing information are stored as one or more of the determined one or more attributes. The subject technology stores the analytics tracking data including the determined one or more attributes.

Persist and process analytics data dimensions for server-side sessionization

The subject technology provides configurations for providing aggregated analytics tracking data associated with a dynamically generated session in response to a query for analytics tracking data. A query for analytics tracking data associated with a period of time is received in which the analytics tracking data includes data for tracking activity associated with a web site or application. The subject technology determines analytics tracking data for aggregating according to the period of time in order to associate the aggregated analytics tracking data with a dynamically generated session. The aggregated analytics tracking data associated with the dynamically generated session is then provided in response to the query.

Dynamic sessionization of analytics data

A method for sessionization of visitor activity includes receiving a first activity of a first client and a first client identifier from the first activity of the first client; the first client identifier stored at the first client; creating a first session from the first activity and the first client identifier; receiving a session link associated with the first activity; and creating a visitor-identified session based on the first client identifier, the first activity, and the session link.

Sessionization of visitor activity

A system and method for generating a flow based on multiply types of interactions are provided. Data defining one or more sequences of multiple interactive nodes are received for the multiple interactive nodes, where each of the multiple interactive nodes corresponds to a particular type of interaction. One of the interactive nodes is designated as the starting interactive node and other interactive nodes are designated as intermediary interactive nodes, where the starting interactive node and at least one of the intermediary interactive nodes correspond to different types of interactions. Intermediary interactive nodes are connected to the starting interactive node based on the one or more sequences, where the connection includes one edge corresponding to a direct connection to the starting interactive node or multiple edges corresponding to an indirect connection via at least one other intermediary interactive node. Visualization data for the interactive nodes is generated and provided for display.

System and method for generating a flow based on multiple types of interactions

Growing community of inventors

Sunnyvale, CA, United States of America

Jerry Hong