基于大数据的电商商店爆品打造与营销策略——以厦门某公司为例
A Great Sensation Commodity Creation and Marketing Strategy in E-commerce Store Based on Big Data—Taking a Company in Xiamen as an Example

本文以厦门某实业有限公司的吧台椅产品流量为数据，进行关键词搜索量、产品曝光量、客户构成、客户地域分布等研究。我们通过关键词自然流量曝光程度，找出核心关键词，然后通过关键词自然流量曝光程度与相关数据选择引流品和爆品。同时通过客户分析，了解电商店铺内的用户组成与分布区域。最后根据关键词自然流量曝光程度、引流品和爆品的特征与客户分析结果拟定运营营销策略。本文也为电商商铺提供了一套基于大数据分析，选择爆款商品的操作流程，提供电商商铺参考。
This paper takes the bar chair traffic data of a company in Xiamen as an example to study the number of keyword searches, product exposure, customer composition, and geographical distribution of customers. We find out the core keywords through the exposure degree of the keywords’ organic traffic, then select a drainage commodity and a great sensation commodity through the exposure degree of the keywords’ organic traffic and relevant data. At the same time, through customer analysis, understand the composition and distribution area of users in the e-commerce store. Finally, the operation marketing strategy is formulated according to the exposure degree of the keywords' organic traffic, the characteristics of the drainage commodity and the great sensation commodity, and the customer analysis results. This paper also provides an operating process for e-commerce shops to select the drainage product and the top-selling item based on big data analysis and provides e-commerce stores with references.