中文摘要：

产品浏览量和销量决定了网上店铺能否在竞争中取胜。基于中国某大型C2C交易平台,选择化妆品品类中销量最高的10个产品为研究对象;对于每个产品,随机选取交易平台上销售该产品的一部分店铺为样本,并记录产品在每个店铺中的浏览量和销量以及店铺和产品的特征;分别用泊松模型和零膨胀的泊松模型对浏览量和销量进行建模,为了保证参数的可比性,在两个模型中采用相同的自变量,通过贝叶斯方法估计模型的参数。研究结果表明,影响浏览量和销量的因素有很大不同,产品价格、店铺规模（即店铺产品数）、店铺信誉和店铺保障等对浏览量和销量的影响差异较大,为已有研究将网络消费者分为浏览者和购买者提供进一步的理论支持和印证。

英文摘要：

Page views and sales of e-commerce products determine whether the online store can win in the fierce competition. This study chooses ten products with the highest sales in the cosmetics category in a large C2C trading platform as our research ob- jects. For each product, we randomly select some stores selling this product and record their page views, sales as well as features of the store and the product. The Poisson model and Zero-inflated Poisson Regression model are adopted in this paper to build models for page views and sales respectively, and in order to guarantee the comparability of parameters in the two models, we use the same independent variables and estimate parameters with Bayesian method. The results show that the factors affecting page views are very different from those affecting sales. Specifically speaking, factors such as the price, store size （that is, the total number of products in the store）, store reputation and store guarantees have quite different impacts on page views and sales. These findings provide further theoretical support and confirmation for previous research that categorizes online shoppers into viewers and buyers.