电子商店如何扩大市场份额?

M. Klepek, Daniel Kvíčala
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引用次数: 3

摘要

本文的目的是确定时尚和化妆品网店如何竞争和成长,以帮助电子商务管理者制定相应的营销策略。它将客户获取和留存率与市场份额的相关性描述为基本绩效指标。设计/方法论/方法一种经验概括方法,其中使用数学或图形方法描述研究中出现的数据模式。为了做到这一点,作者观察了真实的交易数据,以及电子商店如何从新客户和回头客中获益并获得更大的市场份额的影响。作者分析了近12.4万名电子商务客户的行为数据,这些客户涉及两种非常受欢迎的产品类别(时尚和化妆品),销售额在1000万欧元以上。调查结果时装和化妆品电子商店有更多的市场渗透往往有更高的市场份额衡量的总购买量和销售数量的欧元。换句话说,在任何情况下,市场渗透率都是市场份额的可靠预测指标。有趣的是,除了将市场划分排除在产品类别之外的情况外,没有观察到忠诚度与市场份额增长有关的显著差异。研究的局限性/意义研究中的企业只来自一个国家,只观察到两种产品类别。因此,从地理和类别的角度将研究结果推广到整个电子商务市场存在潜在的局限性。观察期的长度也可能发挥作用,因为较长的观察期增加了重复购买的机会。电子商务管理者可以获得长期的市场份额增长主要通过更高的市场渗透(获取新客户),并应避免误导过度关注忠诚策略(保留现有客户)。该研究还为时尚和化妆品类的电子商务企业提供了重要的基准。在市场份额增长的文献中,只有少数研究关注商店而不是产品。此外,快速消费品类别占主导地位。令人惊讶的是,分析不断增长的电子商务市场的研究很少。因此,这项研究是原创的,因为它使用实证数据描述了在线品牌,在商店层面以及时尚和化妆品类别中,如何增加他们的市场份额。它也是少数几个处理真实商业事务数据的研究之一。
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How do e-stores grow their market share?
PurposeThe purpose of this paper is to identify how fashion and cosmetics e-stores compete and grow to help e-commerce managers set the corresponding marketing strategy. It describes the relevance of customer acquisition and retention to market share as the essential performance metrics.Design/methodology/approachAn empirical generalization approach where patterns in data appearing across studies are described by a mathematical or graphical method is used. To do that, the authors observed real transactional data and the effect of how e-stores benefit from new and returning customers and gain a larger market share. The authors have analysed behavioural data from nearly 124,000 e-commerce customers in two highly popular product categories (fashion and cosmetics) in the size of 10,000,000 euros in sales or more.FindingsFashion and cosmetics e-stores with more market penetration tend to have a higher market share measured both by the number of total purchases and the number of sales in euro. In other words, market penetration is a solid predictor of market share in all circumstances. Interestingly, no significant difference in loyalty has been observed in relation to market share growth except in the situation where the market partition was excluded from the product category.Research limitations/implicationsThe businesses under study derived only from one country and only two product categories were observed. Thus, there is a potential limitation in generalizing the findings to the whole e-commerce market from a geographical and category perspective. The length of the observation period may also play a role as a longer period increases the chance of repeat buying.Practical implicationsE-commerce managers can gain long-term market share growth mainly via higher market penetration (acquisition of new customers) and should avoid misleading overfocus on loyalty tactics (retention of current customers). The study also provides important benchmarks for e-commerce businesses in the fashion and cosmetic categories.Originality/valueIn the market share growth literature, only a handful of studies focus on stores and not on products. Moreover, there is a dominance of fast-moving consumer goods categories. Surprisingly, studies analysing ever-growing e-commerce markets are scarce. Thus, this research is original because it describes, using empirical data, how brands online, at the store level and within the fashion and cosmetics category, grow their market share. It is also one of the few studies that work with real business transactional data.
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