店铺需求的地理驱动因素和营销组合敏感性

IF 4 Q2 BUSINESS Journal of Marketing Analytics Pub Date : 2024-03-04 DOI:10.1057/s41270-024-00289-z
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引用次数: 0

摘要

摘要 我们利用 2010 年代表 16294 家商店(9900 家食品店、3185 家量贩店和 3209 家药店)的每周扫描仪数据,研究了大衰退后美国营销组合敏感性的变化。我们估算了基准品类销售额以及品类需求对营销活动(价格、陈列和特色)的依赖程度。然后,我们将商店层面的需求与商店邮政编码的地理特征联系起来,以考虑商店所面临的当地竞争强度。我们发现,随着商店所在邮政编码中受过大学教育的消费者比例增加,品类销售额增加,商店对价格的敏感度降低(与商店形式无关)。商店所在邮政编码的收入中位数解释了所观察到的不同商店价格敏感度估计值之间的大部分差异。我们发现,大多数商店对谷物、咖啡和可乐的定价偏低,即定价低于其价格弹性所隐含的最优加价。
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Geodemographic drivers of store-level demand and marketing mix sensitivities

Abstract

We study changes in marketing mix sensitivities in the United States following the Great Recession using weekly scanner data from 2010 representing 16,294 stores (9,900 food stores, 3,185 mass merchandisers, and 3,209 drug stores). We estimate baseline category sales and the dependence of category demand on marketing activities (price, display and feature). We then relate the store-level demand to geodemographic characteristics of stores’ zip codes, accounting for local competitive intensity faced by stores. We find that as the percentage of college educated consumers in a store’s zip code increases, category sales increase and price sensitivity of the store decreases (regardless of store format). Median income of the store’s zip code explains most of the observed variation in estimated price sensitivities across stores. We find that a majority of stores are underpricing cereal, coffee and cola, i.e., pricing lower than what the optimal mark-ups implied by their price elasticities would suggest.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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