Navdeep S Sahni
Assistant Professor of Marketing
Prof. Sahni’s research focuses on internet marketing; understanding consumer decisions and the impact of firms' marketing actions. His studies employ various methodologies ranging from econometric analysis to running experiments in collaboration with companies to generate insights from data. His PhD dissertation focused on the effect of online sponsored search advertising on consumer decision-making. For this study Navdeep executed randomized field experiments and used innovative techniques to estimate the impact of repetition and timing of online ads on advertisers' returns. To compare advertising strategies, he built a memory-based model of learning through multiple ad exposures.
Navdeep joined Stanford GSB in the summer of 2012. He received his PhD from the University of Chicago Booth School of Business in 2012. In 2011 his dissertation thesis won the ISMS Doctoral Dissertation award. He holds an undergraduate degree (B.Tech + M.Tech.) in Mathematics & Computing from Indian Institute of Technology (IIT Delhi) - 2004. Between undergrad and Doctoral studies, Navdeep worked in the industry for three years in business analytics.
- Effect of Temporal Spacing between Advertising Exposures: Evidence from Online Field Experiments
- Advertising Spillovers: Field Experiment Evidence and Implications for Returns from Advertising
- MKTG 344: Marketing Research