BG / NBD和Gamma-Gamma模型在金融机构客户终身价值预测中的应用

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI:10.1109/AICT52784.2021.9620535

Asiman Mammadzada, Emin Alasgarov, Agasalim Mammadov

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引用次数: 3

摘要

在非合同业务环境下预测客户生命周期价值(CLV)是一些金融机构试图解决的具有挑战性的问题之一。在本文中，我们介绍了概率模型的应用，即Beta几何/负二项分布(BG/NBD)和Gamma-Gamma对从阿塞拜疆一家领先的零售银行获得的交易数据集的应用。考虑银行客户的金融交易数量和金融交易金额，该模型在预测银行客户的CLV方面取得了令人满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of BG / NBD and Gamma-Gamma Models to Predict Customer Lifetime Value for Financial Institution

The prediction of customer lifetime value (CLV) within the non-contractual business circumstances is one of the challenging problems that several financial institutions are trying to solve. In this paper, we present our application of probabilistic models, namely Beta Geometric / Negative Binomial Distribution (BG/NBD) and Gamma-Gamma on transactional dataset obtained from one of the leading retail banks in Azerbaijan. The proposed model gets satisfactory results in predicting bank clients’ CLV, considering both the number and the amount of financial transactions made by them.

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2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)

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