Assistant Professor of Marketing

Oliver J. Rutz’s research focuses on internet advertising and search engine marketing — primarily, paid search and banner advertising. Internet advertising, especially paid search, is a new and exciting communication/marketing channel that managers need to understand and integrate into their marketing strategy. Dr. Rutz studies how Bayesian estimation techniques can help in addressing the “large p, small n” problem that is common in online advertising data.

Before commencing his doctoral program, he worked as a consultant for McKinsey & Company, conducting projects in the banking and telecommunications industries, among others. He has presented at several marketing consortiums and symposiums, most recently traveling to Reykjavik, Iceland, for the May 2007 European Marketing Academy (EMAC) gathering.

He holds an MBA from UCLA Anderson, and an Economics/Statistics degree from the Ruprecht-Karls-Universität Heidelberg, Germany.

Achievements and Awards
EMAC Best Paper Based on a Doctoral Thesis Award, 2007
AMA-Seth Doctoral Consortium Fellow, UCLA, 2007
UCLA Anderson Business Honor Society, 2003
UCLA Anderson Dean’s Scholar, 2001-2002

Education
PhD UCLA Anderson School of Management, 2007
MBA UCLA Anderson School of Management, 2003
Dipl.rer.pol. (Economics/Statistics) Ruprecht-Karls-Universitaet Heidelberg, Germany, 1999

Related Links

Center for Customer Insights Oliver's J. Rutz's CV Watch Professor Rutz's lecture on internet search advertising.