Marketing
Marketing Science answers important research questions in marketing using mathematical modelling. Data science is mostly applied in marketing areas of profiling, search engine optimization, customer engagement, responsiveness and real-time marketing campaigns. Moreover, new ways to apply data science and analytics in marketing emerge every day. Among these, the new use cases include digital advertising, micro-targeting, micro-segmentation, and many others.
Research questions studied by marketing scientists include:
• How do consumers form their preferences during product search?
• How do consumers learn about the quality of new products?
• How do consumers search for their preferred product from a set of relevant options?
• How can firms best crowdsource new product ideas from customers or employees?
• How can firms optimize their international launch of new products?
• How can firms optimize their marketing and advertising spending?
Marketing
Marketing Science answers important research questions in marketing using mathematical modelling. Data science is mostly applied in marketing areas of profiling, search engine optimization, customer engagement, responsiveness and real-time marketing campaigns. Moreover, new ways to apply data science and analytics in marketing emerge every day. Among these, the new use cases include digital advertising, micro-targeting, micro-segmentation, and many others.
Research questions studied by marketing scientists include:
• How do consumers form their preferences during product search?
• How do consumers learn about the quality of new products?
• How do consumers search for their preferred product from a set of relevant options?
• How can firms best crowdsource new product ideas from customers or employees?
• How can firms optimize their international launch of new products?
• How can firms optimize their marketing and advertising spending?
Our people
Faculty
Faculty
PhD Students
PhD Students
Key publications
Dellaert, BenedictG.C., Johnson, EricJ., Duncan, S. and Baker, T. (2024). Choice Architecture for Healthier Insurance Decisions: Ordering and Partitioning Together Can Improve Consumer Choice Journal of Marketing, 88(1):15--30.
Stremersch, S. (2024). How can academics generate great research ideas?: Inspiration from ideation practice International Journal of Research in Marketing, 41(1):1--17.
Hariharan, V., Landsman, V. and Stremersch, S. (2024). The Detailing Response of Branded Drug Firms to Generic Entry International Journal of Research in Marketing, :.
Liadeli, G., Sotgiu, F. and Verlegh, P. (2023). A Meta-Analysis of the Effects of Brands’ Owned Social Media on Social Media Engagement and Sales Journal of Marketing, 87(3):406--427.
Stremersch, S., Gonzalez, J., Valenti, A. and Villanueva, J. (2023). The value of context-specific studies for marketing Journal of the Academy of Marketing Science, 51(1):50--65.
Academic Distinctions
October 02, 2020
Bas Donkers and Benedict Dellaert received a € 250,000 Netspar...
Benedict Dellaert,Bas Donkers
February 20, 2020
EMAC Distinguished Marketing Scholar Award for Stefan Stremersch
Stefan Stremersch