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A Novel Propensity-Based Recommendation Approach For Financial Product In Direct Marketing

Yuwen Jiang, Li Dong, Yongjun Song, Chengxuan Jiang

Abstract


In direct marketing, customer propensity model is usually used to predict the probability of purchasing. The traditional
implementation of propensity model only considers the customer’s purchasing probability in a certain marketing campaign, but the
purchasing probability is highly correlated with the product price. In geneal, the higher price the lower response probability, and vice versa.
Therefore, only considering the product’s purchasing probability in a certain marketing campaign cannot maximize the overall potential
revenue. Overselling insurance to cardholders can easily aff ect their experience and cause customer loss. The best way is to off er the right
product to the right customer with the right price in the right time. This article proposes a propensity-based recommendation approach,
which is developed by cardholders’ transaction behavior. Estimation of expected Customer Value on a certain product is done basing on the
purchasing probability. In practice, this approach has been implemented by some retail banks in joint marketing project with life insurance
companies, and achieved quite good results.

Keywords


Retail Bank; Life Insurance; Customer Value; Propensity Model; Product Recommendation

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i7.13653

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