Biography
Andreas Bayerl is Assistant Professor of Marketing at the Erasmus School of Economics at Erasmus University Rotterdam. He earned a PhD in Quantitative Marketing from University of Mannheim. His research focuses on how people behave and send information in today’s digital world and how information from the digital world influences people. In particular, Andreas studies online reviews and influencer marketing. Usually, his projects follow a mixed-method approach combining observational data, analyses of text and images as well as field and lab studies. His research has been published in the Journal of Marketing, Harvard Business Review, MIT Sloan Management Review and Nature Human Behavior. Andreas teaches in a class about data science and marketing analytics.
- bayerl@ese.eur.nl
More information
Work
- Andreas Bayerl, Yaniv Dover, Hila Riemer & Daniel Shapira (2024) - Gender rating gap in online reviews - Nature Human Behaviour - doi: 10.1038/s41562-024-02003-6 - [link]
- Maximilian Beichert, Andreas Bayerl, Andreas Lanz & Jacob Goldenberg (2024) - When It Comes to Influencers, Smaller Can Be Better: Companies that rely on celebrities with lots of followers are missing out. - Harvard Business Review, 2024-September-October, 23-28 - [link]
- Maximilian Beichert, Andreas Bayerl, Jacob Goldenberg & Andreas Lanz (2024) - Revenue Generation through Influencer Marketing - Journal of Marketing, 88 (4), 40-63 - doi: 10.1177/00222429231217471 - [link]
- Andreas Bayerl, Ann-Kathrin Polenz, Asael Sklar & Florian Kraus (2024) - AMA CBSIG Best Talk
- Andreas Bayerl, Maximilian Beichert, Andreas Lanz & Jacob Goldenberg (2023) - Best Paper Award (GESS)
- Andreas Bayerl, Verena Schoenmuller, Jacob Goldenberg & Florian Stahl (2023) - Stiftung Marketing Award (University of Mannheim)
- Andreas Bayerl (2022) - Best Student Paper Award at WISE Conference 2022
- Andreas Bayerl, Maximilian Beichert, Andreas Lanz & Jacob Goldenberg (2022) - Best Student Paper Award (WISE Conference)
Seminar Case Studies in Data Science and
- Year
- 2024
- Course Code
- FEM11153