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Analyzing the Role of Digital Communication Channels in Debt Collection

机译:分析数字通信渠道在债务收集中的作用

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Recent changes in federal US regulations allowed debt collection agencies to expand their channels of communication from physical letters and phone calls only, to adopt digital communication channels including emails and SMS text messages. With changing demographics, debt collection companies stand to gain substantially if they can improve when and how they communicate with their account holders, both in driving more payments and in saving money through the reduced cost of the digital channels. This study explores the data provided by a leading debt collection agency on their debt holders. One of the key issues is that there is a limited understanding of the extent to which the new channels are affecting customer behaviors and payments in terms of frequency and timing. To answer these questions, we apply statistical models analyzing the impact of the various communication channels on the probability that a debtor pays and how much of their outstanding debt that they pay. Initial analysis is based on A/B testing of the various customer segments and whether their payment activity increased. We then draw insights on the channel and the timing of communication on the amount of revenue earned by the agency using an adstock-like model. Modeling communication is key to understand and better manage debt collection, increasing the likelihood of payment while indicating potential for saving costs and improve customer satisfaction.
机译:最近联邦美国法规的变化允许债务收款机构仅从物理字母和电话呼叫扩展其沟通渠道,以采用包括电子邮件和短信的数字通信渠道。随着人口统计数据的变化,债务收集公司在与他们的账户持有人沟通的何时以及如何以及如何通过减少数字渠道的成本时,他们可以大幅度提高。本研究探讨了领先的债务收集机构对其债务持有人提供的数据。关键问题之一是有限地了解新渠道在频率和时机方面影响客户行为和付款的程度。为了回答这些问题,我们应用统计模型分析各种沟通渠道对债务人支付的概率以及他们支付的大大未偿还债务的影响。初始分析基于各种客户段的A / B测试以及其支付活动是否增加。然后,我们利用诸如原子能机构造型的渠道对渠道的见解和沟通的沟通时间。建模沟通是理解和更好地管理债务收集的关键,提高支付的可能性,同时表明节省成本的潜力,提高客户满意度。

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