Abstract Customer retention is crucial in a variety of businesses as acquiring new customers is often more costly than keeping the current ones. As a consequence, churn prediction has attracted great attention from both the business and academic worlds. Traditional efforts in the financial domain mainly focus on domain specific variables such as product ownership or service usage aggregation, however, without considering dynamic behavioral patterns of customers’ financial transactions. In this paper, we attempt to fill in this gap by investigating the spatio-temporal patterns and entropy of choices underlying the customers’ financial decisions, and their relations to customer churning activities. Inspired by previous works in the emerging field of computational social science, we built a prediction model based on spatio-temporal and choice behavioral traits using individual transaction records. Our results show that proposed dynamic behavioral models could predict churn decisions significantly better than traditionally considered factors such as demographic-based features, and that this effect remains consistent across multiple data sets and various churn definitions. We further study the relative importance of the various behavioral features in churn prediction, and how the predictive power varies across different demographic groups. More generally, the proposed features can also be applied to churn prediction in other domains where spatio-temporal behavioral data are available.

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computational social science demographic demographicbased features dynamic behavioral patterns of customers financial transactions domain specific variables customer retention entropy of choices individual transaction records service usage prediction model product ownership spatiotemporal and choice behavioral traits churn prediction

Erdem Kaya,Xiaowen Dong,Yoshihiko Suhara,Selim Balcisoy,Burcin Bozkaya,Alex “Sandy” Pentland,.Behavioral attributes and financial churn prediction. 7 (1),.

Erdem Kaya,Xiaowen Dong,Yoshihiko Suhara,Selim Balcisoy,Burcin Bozkaya,Alex “Sandy” Pentland,"Behavioral attributes and financial churn prediction" 7

Erdem Kaya,Xiaowen Dong,Yoshihiko Suhara,Selim Balcisoy,Burcin Bozkaya,Alex “Sandy” Pentland,"Behavioral attributes and financial churn prediction"