公开(公告)号：US20170070408A1

公开(公告)日：2017-03-09

申请号：US15351773

申请日：2016-11-15

Applicant: Google Inc.

Inventor： Lin Liao ,  Jiang Ni ,  Elizabeth L. Liebert

IPC: H04L12/26 ,  H04L29/08

CPC classification number: H04L43/08 ,  G06Q30/02 ,  H04L67/02 ,  H04L67/1097 ,  H04L67/22

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing changes in web analytics metrics. In one aspect, a method includes identifying a change in a web analytics metric for a website over a period of time, the web analytics metric being based at least in part on visitor data for the website over the period of time; computing a respective segment contribution score for each of a plurality of segments of the web analytics metric, wherein a segment contribution score for a particular segment is based at least in part on a comparison between a value of the web analytics metric and a value of the particular segment during the period of time; and identifying one or more of the plurality of segments as contributing to the change in the web analytics metric based on the respective segment contribution scores.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于分析网络分析度量的变化。 一方面，一种方法包括在一段时间内识别网站的网页分析度量的变化，网页分析度量至少部分地基于网站在一段时间内的访问者数据; 为所述网页分析度量的多个片段中的每一个计算相应的片段贡献分数，其中针对特定片段的片段贡献分数至少部分地基于所述网络分析度量的值与所述网络分析度量的值之间的比较 期间特定部分; 以及基于相应的分段贡献分数来识别所述多​​个分段中的一个或多个，以对所述web分析度量的变化作出贡献。

公开(公告)号：US09900227B2

公开(公告)日：2018-02-20

申请号：US15351773

申请日：2016-11-15

Applicant: Google Inc.

Inventor： Lin Liao ,  Jiang Ni ,  Elizabeth L. Liebert

IPC: G06F15/173 ,  G06Q30/00 ,  H04L12/26 ,  H04L29/08 ,  G06Q30/02

CPC classification number: H04L43/08 ,  G06Q30/02 ,  H04L67/02 ,  H04L67/1097 ,  H04L67/22

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing changes in web analytics metrics. In one aspect, a method includes identifying a change in a web analytics metric for a website over a period of time, the web analytics metric being based at least in part on visitor data for the website over the period of time; computing a respective segment contribution score for each of a plurality of segments of the web analytics metric, wherein a segment contribution score for a particular segment is based at least in part on a comparison between a value of the web analytics metric and a value of the particular segment during the period of time; and identifying one or more of the plurality of segments as contributing to the change in the web analytics metric based on the respective segment contribution scores.