Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance

With the development of big data and deep learning technology, technology have also been applied to marketing field, which was a part business administration. Customer churn management is one most important areas marketing. In this paper, we proposed method prevent customer increase purchase conversion rate by issuing customized discount coupons customers with high based on in real time. After segmenting segments two-dimensional segment analysis, real-time estimation model clickstream generated for each segment. that, issued our customers. Finally, tested sales growth. A cluster analysis-based combined recommendation system found be significantly more useful than respective simple models. Using model, it possible automatically estimating customer’s probability shopping propensity without burden costs online mall.