Paper Info
Title
Study on Web Analytics Utilizing Segmentation Knowledge in Business to Business Manufacturer Site.
Abstract
Web analytics of B to B sites is mandatory for improving usability and leveraging data for marketing. In this study we tried web analytics by some segmentation and confirmed it is effective. We defined some of the segment models (7 segmentation type) and examined web access using some segments. One of the most important segmentations is registered versus unregistered users and we confirmed user behavior is different with each segment. We confirmed key metrics like bounce rate, referrer, and exit page analysis are especially beneficial for B to B manufacturer site enhancement.
Year
DOI
Venue
2014
10.1016/j.procs.2014.08.164
Procedia Computer Science
Keywords
Field
DocType
Web analytics,B to B,
Bounce rate,Data science,Data mining,World Wide Web,Web analytics,Computer science,Segmentation,Web access,Usability,Analytics,Business-to-business
Conference
Volume
ISSN
Citations 
35
1877-0509
1
PageRank 
References 
Authors
0.41
5
2
Name
Order
Citations
PageRank
Akiyuki Sekiguchi111.76
Kazuhiko Tsuda210847.18