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Aufgabenbereich

• Betreuer für Abschlussarbeiten
• Kurs: Advanced Topics in Marketing Analytics (Master)

Profil

• Duke University; Forschungsaufenthalt bei Carl Mela und Allison Chaney (05/2021–heute)
• Humboldt Universität Berlin; Dr. rer. pol., Economics and Management Science, betreut durch Daniel Klapper (10/2014–09/2020)
• Stanford University; Visiting Doctoral Researcher, working with Jonathan Levav and Harikesh Nair (01/2016–06/2017)
• Humboldt Universität Berlin; M.Sc. Economics and Management Science, Prädikatsexamen (10/2009–06/2012)
• Goethe Universität Frankfurt am Main; B.Sc. Economics, Dean’s List, Abschlussnote: 1,3 (10/2006–09/2009
• Auslandsstudium als Fulbright Scholar an der New School for Social Research in New York City (Vereinigte Staaten)

Forschungsinteressen

• Konsumentenverhalten auf und Design von digitialen Plattformen, Marktplätzen und Produkten
• Angewandte Verhaltensökonomik und Psychologie
• Methoden: (Feld-)Experimente, maschinelles Lernen

Publikationen & Konferenzbeiträge

Arbeitspapiere

• Price Promotions for "Freemium" App Monetization, with Jonathan Levav and Harikesh Nair (available as Stanford University Working Paper)
• Algorithmic Assortative Matching on a Digital Social Medium, with Kristian Lopez Vargas and Ruizhi Zhang
• Comparing the Effectiveness of Behavioral and Personality Targeting in Digital Marketing, with Sandra Matz and Mansur Khamitov
• Exploration in Action: The Role of Randomized Control Trials in Online Demand Generation, with Harikesh Nair (available as Stanford University Working Paper)
• The Two-Fold Effect of Customer Retention in Freemium Settings, with Eva Ascarza and Oded Netzer (available as Harvard University Working Paper)

Manuskripte in Vorbereitung

• Price Personalization in Freemium Settings: A Field Experimental Study, with Michaela Draganska and Daniel Klapper (finalizing analysis)
• Identifying Self-Harming Consumption of Online Content (conducting analysis)
• “Dark Patterns” in Digital Service Design: An Empirical Study of Search Effort Manipulation, with Ji Huh and Allison Chaney (preliminary data collection)
• The Long-term Effect of Advertising on Consumer Engagement and Sales, with Allison Chaney and Carl Mela (scoping analysis)

Ausgewählte Publikationen

• Apple Is Changing How Digital Ads Work. Are Advertisers Prepared? (Apr. 2021, Harvard Business Review, Digital Article)
• Marketers Underuse Ad Experiments. That’s a Mistake. (Oct. 2020, Harvard Business Review, Digital Article)
• Experimentation and Performance in Advertising: An Observational Survey of Firm Practices on Facebook, with Steven Geinitz and Simon Ejdemyr (2020, Expert Systems w. Applications)
• Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-value Users Using Deep Neural Networks and SMOTE, with Rafet Sifa, Christian Bauckhage and Daniel Klapper (2018, Proceedings of the 51^st Hawaii Intern. Conf. on System Sciences)
• Predicting Purchase Decisions in Mobile Free-to-play Games, with Rafet Sifa, Fabian Hadiji, Anders Drachen, Kristian Kersting and Christian Bauckhage (Proceedings of the 11^th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment); best paper award
• Churn Prediction for High-value Players in Casual Social Games, with Peter Gao, Florent Garcin and Boi Faltings (2014, Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games); runner-up best paper award