A/B-Test of Retention and Monetization Using the Cox Model

Authors

  • Markus Viljanen University of Turku
  • Antti Airola University of Turku
  • Jukka Heikkonen University of Turku
  • Tapio Pahikkala University of Turku

DOI:

https://doi.org/10.1609/aiide.v13i1.12941

Keywords:

game analytics

Abstract

A/B testing is a popular tool for guiding mobile game development. The developer releases different versions of a game to different test cohorts, and observes which version has the best player retention or monetization. Correctly determining whether the differences are statistically significant is however challenging. Typically the analysis needs to be done on small and heterogeneous player cohorts, with differing follow-up times and unknown player churn. In this paper, we show for the first time how these issues can be properly addressed using the Cox model for recurrent events. The method enables a multivariate A/B-test, that allows determining which game version has the highest player retention or purchase rate, with confidence intervals provided. We demonstrate the benefits of the approach in multiple game development problems, on real-world free-to-play mobile game data.

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Published

2021-06-25

How to Cite

Viljanen, M., Airola, A., Heikkonen, J., & Pahikkala, T. (2021). A/B-Test of Retention and Monetization Using the Cox Model. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 13(1), 248-254. https://doi.org/10.1609/aiide.v13i1.12941