Profile
I am an assistant professor at the Rotterdam School of Management. My research is located at the intersection of quantitative marketing, machine learning and econometrics. I develop and validate new machine learning methods for modeling the behavior of individual customers. My current projects focus on methodological research in Deep Learning that can be applied to promotion personalization, recommender systems, pricing, and assortment optimization in large-scale retailing settings. In my industry work, I collaborate with leading marketing solution providers and grocery retailers to design and implement advanced machine learning systems for scalable and automated marketing personalization. These marketing solutions have helped retailers to increase their revenue, return on advertising spend, and conversion rates.
For more information, please visit www.sebastiangabel.com.
Publications
Article (3)
Academic (3)
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Gabel, S., & Timoshenko, A. (2022). Product Choice with Large Assortments: A Scalable Deep-Learning Model. Management Science, 68(3), 1808-1827. https://doi.org/10.1287/mnsc.2021.3969
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Gabel, S., & Guhl, D. (2021). Comparing the Effectiveness of Rewards and Individually Targeted Coupons in Loyalty Programs. Journal of Retailing, 98(3), 395-411. https://doi.org//10.1016/j.jretai.2021.08.001
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Gabel, S., Guhl, D., & Klapper, D. (2019). P2V-MAP: Mapping Market Structures for Large Retail Assortments. Journal of Marketing Research, 56(4), 557-580. https://doi.org/10.1177/0022243719833631
Conference proceeding (1)
Academic (1)
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Schrage, R., Kenning, P., Guhl, D., & Gabel, S. (2020). Price Personalisation Technology in Retail Stores: Examining the Role of Users' Trust. In Proceedings of the 41st International Conference on Information Systems, ICIS 2020, Making Digital Inclusive: Blending the Locak and the Global, Hyderabad, India, December 13-16, 2020 Association for Information Systems. https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/7
Award
Courses
Learning from big data
- Study year: 2023/2024, 2022/2023, 2021/2022
- Code: B3MIN1039
- Level: Bachelor, Bachelor 3, Bachelor 3
IM Research clinic
- Study year: 2023/2024
- Code: BM-IM-RC
- Level: Master
Marketing Strategy in the Age of Artificial Intelligence
- Study year: 2023/2024, 2022/2023
- Code: BM-IM16CC
- Level: Master
Past courses
Learning from big data
- Study year: 2020/2021
- Code: BKBMIN039
- Level: Bachelor, Bachelor 3, Bachelor 3