Biography
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.
Rotterdam School of Management, Erasmus University
- gabel@rsm.nl
- Room
- T10-01
- Location
- Burg. Oudlaan 50, Rotterdam
More information
Work
- Sebastian Gabel, Dominik Molitor & Martin Spann (2024) - The Effect of an Ad Ban on Retailer Sales: Insights from a Natural Experiment - Marketing Science
- Sebastian Gabel & Daniel Guhl (2022) - Comparing the Effectiveness of Rewards and Individually Targeted Coupons in Loyalty Programs - Journal of Retailing, 98 (3), 395-411 - doi: /10.1016/j.jretai.2021.08.001 - [link]
- Sebastian Gabel & Artem Timoshenko (2022) - Product Choice with Large Assortments: A Scalable Deep-Learning Model - Management Science, 68 (3), 1808-1827 - doi: 10.1287/mnsc.2021.3969 - [link]
- Rabea Schrage, Peter Kenning, Daniel Guhl & Sebastian Gabel (2021) - Price Personalisation Technology in Retail Stores: Examining the Role of Users' Trust - [link]
- Sebastian Gabel, Daniel Guhl & Daniel Klapper (2019) - P2V-MAP: Mapping Market Structures for Large Retail Assortments - Journal of Marketing Research, 56 (4), 557-580 - doi: 10.1177/0022243719833631
- Sebastian Gabel (2023) - 2023 EMAC–Sheth Foundation Sustainability Research Competition
- S (Sebastian) Gabel (2020) - EHI Science Prize 2020 Best Dissertation
Schwarz Gruppe
- Start date approval
- april 2022
- End date approval
- maart 2025
- Place
- NECKARSULM
- Description
- Research cooperation
Marketing Strategy in the Age of AI
- Level
- master
- Year Level
- master
- Year
- 2023
- Course Code
- BM-IM16CC
IM Research clinic
- Level
- master
- Year Level
- master
- Year
- 2023
- Course Code
- BM-IM-RC
Learning from big data
- Year Level
- bachelor 3, bachelor, bachelor 3
- Year
- 2023
- Course Code
- B3MIN1039