The choice of an appropriate e-commerce strategy for the listing in price comparison platforms (eBay, Amazon, and price search engines) is crucial for the survival of online stores in B2C e-commerce business. We use a comprehensive dataset from the Austrian price search engine geizhals.at to identify successful e-commerce strategies with regard to these listing decisions. An e-commerce strategy is a set of choices including the listing decision, availability decision, and decisions on a price path and shipping cost. We apply cluster analysis to identify the different strategies that have been used by online retailers. Using various success measures such as revenue, clicks, market share, and the survival of firms, as dependent variables in our regression analyses, we present causal evidence on the effectiveness of different e-commerce strategies.

中文翻译：

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价格比较平台中成功的零售商策略

在比价平台（eBay、亚马逊和价格搜索引擎）上为listing选择合适的电子商务策略对于B2C电子商务业务中在线商店的生存至关重要。我们使用来自奥地利价格搜索引擎 geizhals.at 的综合数据集来确定与这些上市决策相关的成功电子商务策略。电子商务策略是一组选择，包括上市决策、可用性决策以及有关价格路径和运输成本的决策。我们应用聚类分析来确定在线零售商使用的不同策略。使用各种成功指标，例如收入、点击次数、市场份额和公司的生存率，作为回归分析中的因变量，我们提供了有关不同电子商务策略有效性的因果证据。