| Churn prediction for high-value players in casual social games J Runge, P Gao, F Garcin, B Faltings 2014 IEEE conference on Computational Intelligence and Games, 1-8, 2014 | 193 | 2014 |
| Predicting purchase decisions in mobile free-to-play games R Sifa, F Hadiji, J Runge, A Drachen, K Kersting, C Bauckhage proceedings of the AAAI conference on artificial intelligence and …, 2015 | 122 | 2015 |
| Rapid prediction of player retention in free-to-play mobile games A Drachen, E Lundquist, Y Kung, P Rao, R Sifa, J Runge, D Klabjan Proceedings of the AAAI Conference on Artificial Intelligence and …, 2016 | 46 | 2016 |
| Hidden markov models for churn prediction P Rothenbuehler, J Runge, F Garcin, B Faltings 2015 sai intelligent systems conference (intellisys), 723-730, 2015 | 40 | 2015 |
| Customer lifetime value prediction in non-contractual freemium settings: Chasing high-value users using deep neural networks and SMOTE R Sifa, J Runge, C Bauckhage, D Klapper | 35 | 2018 |
| To be or not to be... social: Incorporating simple social features in mobile game customer lifetime value predictions A Drachen, M Pastor, A Liu, DJ Fontaine, Y Chang, J Runge, R Sifa, ... proceedings of the australasian computer science week multiconference, 1-10, 2018 | 28 | 2018 |
| Stylized facts for mobile game analytics A Drachen, N Ross, J Runge, R Sifa 2016 IEEE conference on computational intelligence and games (CIG), 1-8, 2016 | 20 | 2016 |
| Freemium pricing: Evidence from a large-scale field experiment J Runge, S Wagner, J Claussen, D Klapper Humboldt University Berlin, School of Business and Economics, Institute of …, 2016 | 18 | 2016 |
| Play with me? understanding and measuring the social aspect of casual gaming A Alsén, J Runge, A Drachen, D Klapper Proceedings of the AAAI Conference on Artificial Intelligence and …, 2016 | 16 | 2016 |
| Price promotions and “freemium” app monetization J Runge, HS Nair, J Levav Quantitative Marketing and Economics 20, 101-139, 2022 | 13* | 2022 |
| Experimentation and performance in advertising: An observational survey of firm practices on Facebook J Runge, S Geinitz, S Ejdemyr Expert Systems with Applications 158, 113554, 2020 | 13 | 2020 |
| Privacy-centric digital advertising: implications for research G Johnson, J Runge, E Seufert Customer Needs and Solutions 9 (1-2), 49-54, 2022 | 6 | 2022 |
| The twofold effect of customer retention in freemium settings E Ascarza, O Netzer, J Runge Columbia Business School Research Paper Forthcoming, 2020 | 6 | 2020 |
| The role of randomized control trials in online demand generation: Exploratory evidence from Facebook J Runge, H Nair Proceedings of the International Conference on Information Systems (ICIS), 2021 | 4* | 2021 |
| Apple Is Changing How Digital Ads Work. Are Advertisers Prepared? J Runge, E Seufert Harvard Business Review, 2021 | 3 | 2021 |
| It’s time to close the experimentation gap in advertising: Confronting myths surrounding ad testing C Campbell, J Runge, K Bates, S Haefele, N Jayaraman Business Horizons 65 (4), 437-446, 2022 | 2 | 2022 |
| Algorithmic assortative matching on a digital social medium K López Vargas, J Runge, R Zhang Information Systems Research, 2022 | 1 | 2022 |
| Predicting revenues with the multiplier heuristic FM Artinger, N Kozodoi, J Runge Available at SSRN 3546017, 2020 | 1 | 2020 |
| “Dark patterns” in online services: a motivating study and agenda for future research J Runge, D Wentzel, JY Huh, A Chaney Marketing Letters, 1-6, 2022 | | 2022 |
| Price Discrimination and Big Data: Evidence from a Mobile Puzzle Game LD Pape, C Helmers, A Iaria, S Wagner, J Runge Available at SSRN 3952016, 2021 | | 2021 |
Florent F. GarcinPhD, Researcher at Swiss Federal Institute of Technology, Lausanne (EPFL)Email verificata su epfl.ch
