Abstract—Visitors to B-to-B sites have a variety of goals. Therefore, the following types of analysis are important for carrying out site optimization and making use of data for marketing: Step 1. Path analysis using web beacon; Step 2. A/B testing using t-test, including multivariate testing; Step 3.Contribution analysis; Step 4. Relative analysis of web beacon, user registration database, and authenticated download against product performance. It is predicted that customer tracking technologies using user registration databases and beacon analysis will become even more important with the evolution of web technology, and the time will come when the behavior of individual customers will be tracked.

Index Terms—B-to-B Market, Semiconductor Industry, Web Analytics.

Akiyuki Sekiguchi, Tadao Katsunuma, Itsumi Hokao and Yusuke Yamada are with the Renesas Solutions Corp., Tokyo Japan. (e-mail:akiyuki.sekiguchi.pd@renesas.com, tadao.katsunuma.gx@renesas.com,itsumi.hokao.wz@renesas.com, yusuke.yamada.zn@renesas.com).
Kazuhiko Tsuda is with the Graduate School of Business Science,University of Tsukuba, Tokyo, Japan.(email: tsuda@gssm.otsuka.tsukuba.ac.jp).

Cite: Akiyuki Sekiguchi, Tadao Katsunuma, Itsumi Hokao, Yusuke Yamada, and Kazuhiko Tsuda, "Web Analytics for B to B Marketing in Semiconductor Industry," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 2, no. 5, pp. 413-418, 2012.