Aurélie Lemmens is an Associate Professor of Marketing at the Rotterdam School of Management, Erasmus University (The Netherlands). She holds a Ph.D. degree from K.U. Leuven (Belgium) and a M.Sc. degree in management from Solvay Business School (Belgium). She previously held appointment at the Erasmus School of Economics in Rotterdam (The Netherlands), Tilburg University (The Netherlands), and was a visiting scholar at Harvard Business School (USA).
Aurélie Lemmens’s current research focuses on the development of predictive and prescriptive analytics to address key business decisions. She is particularly interested in the design of new methodologies that can guide organizations in their customer-centric decision making. Her research portfolio has been organized according to the three fundamental stages of the customer lifecycle: (i) customer acquisition and new product introduction, (ii) customer development and engagement, and (iii) customer retention. A substantial part of her research has involved the use of machine learning and large-scale cluster and grid computing.
Her publications on these topics have appeared in leading academic journals, such as Marketing Science, the Journal of Marketing Research and the International Journal of Research in Marketing. With her co-authors, Aurélie has been a recipient of the 2012 IJRM Best Paper Award. She also received several best teaching awards (2017 and 2019) for her course on Conjoint Analysis. Finally, she was awarded several prestigious grants, including a Marie Curie from the European Research Council, a Veni and a Vidi grants from the Dutch Science Foundation, NWO.
She also advises companies on their customer relationship management activities, in particular proactive churn management and personalized targeting optimization.
At Erasmus, she is teaching Customer Analytics in Business Analytics Msc and Customer-Centric Marketing in the Marketing Management Msc.
N. Glady, A. Lemmens & C. Croux (2015). Unveiling the relationship between the transaction timing, spending and dropout behavior of customers. International Journal of Research in Marketing, 32 (1), 78-93. doi: 10.1016/j.ijresmar.2014.09.005