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首页> 外文期刊>Management science: Journal of the Institute of Management Sciences >Measuring the Efficiency of Category-Level Sales Response to Promotions
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Measuring the Efficiency of Category-Level Sales Response to Promotions

机译:测量对促销的类别级销售响应的效率

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In this study, we focus on measuring the efficiency of category-level sales response to promotions across various categories and stores. Our heterogeneous stochastic frontier model allows us to attribute portions of this efficiency to specific characteristics of the stores and categories. Using our full PEM (promotional efficiency frontier) model, we analyze the efficiency of 20 frequently bought categories of a supermarket retailer and apply it to store-category-level data. We find that the average efficiency of category and store sales response across all categories and stores is 84.34%, with low values in categories such as spreads and fresh seafood and high values in categories such as frozen entrees and meat. We find that the variation in efficiency of this sales response can be attributed to specific store and category characteristics such as selling area of store, distance to competition, number of stock-keeping units in the category, and average interpurchase time. Unobserved heterogeneity is captured by the latent class approach that provides support for the existence of three segments. An understanding of the roles played by these characteristics in the efficiency of sales response can aid managers in devising a strategy that maximizes sales.
机译:在这项研究中,我们专注于衡量各种类别和商店促销的类别级别销售响应的效率。我们的异构随机前沿模型允许我们将这种效率的部分属性与商店和类别的特定特征。使用我们的完整PEM(促销效率前沿)模型,我们分析了20个经常购买的超市零售商类别的效率,并将其应用于存储类别级数据。我们发现,所有类别和商店的类别和商店销售响应的平均效率为84.34%,分类低价,差价和新鲜的海鲜和冰冻的主菜和肉类的高价值。我们发现,这种销售响应的效率的变化可以归因于特定的商店和类别特征,如卖商店的销售区域,竞争距离,类别中的股票保持单位数,平均间隔时间。通过潜在的类方法捕获不可观察的异质性,这为三个部分的存在提供了支持。在销售响应效率下,对这些特征发挥的角色的理解可以帮助管理者设计最大化销售的策略。

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