Dynamics of customer segments: A predictor of customer lifetime value

作者：

Highlights：

• Big-data analytics used for processing 17 billion transactions of bank customers.

• Six patterns are found, including Local Leaders and Market Trend Initiators.

• Customer value is predicted not by past behavior, but by current dynamics of others.

• A new approach to predict CLV that accommodates to changing market conditions.

摘要

•Big-data analytics used for processing 17 billion transactions of bank customers.•Six patterns are found, including Local Leaders and Market Trend Initiators.•Customer value is predicted not by past behavior, but by current dynamics of others.•A new approach to predict CLV that accommodates to changing market conditions.

论文关键词：Dynamics of customer segments,Customer lifetime value,Big data analytics,Banking sector

论文评审过程：Received 8 August 2020, Revised 11 January 2021, Accepted 11 January 2021, Available online 21 January 2021, Version of Record 9 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114606