选择优于规模:决定品牌忠诚度与市场占有率高度相关

IF 4 Q2 BUSINESS Journal of Marketing Analytics Pub Date : 2023-12-02 DOI:10.1057/s41270-023-00270-2
Takumi Kato, Nobu Takenaka, Rie Ito, Kazuki Nishiguchi
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摘要

尽管对忠诚的研究非常广泛,但关于简单有效的忠诚指标的学术讨论却少之又少。忠诚度指数中为数不多的建议之一是净推荐值(NPS)。由于该指数非常简单,目前约有三分之二的财富1000强公司使用该指数。但是,学者们批评说,国民年金指数不如其他忠诚指数。因此,学者们主要使用李克特量表,该量表不能使用单一问题来比较产品/服务,并且由于文化差异而存在反应偏差。为了填补这一空白,我们解决了对NPS的以下四个主要批评:首先,它相对于李克特偏好、推荐和购买意愿的优势尚未得到证实;其次,它不能用一个问题来比较竞争产品或服务;其三,其门槛设置具有主观性;第四,存在文化反应偏差倾向。本研究提出以下研究问题:“品牌选择在解释销售绩效方面是否优于李克特量表?”为了得出一个概括的结论,我们从美国市场的20个行业中挑选了100个品牌。随机对照试验的结果证明了选择优于规模。因此,应该强调品牌选择来衡量品牌忠诚度。
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Selection is superior to scale: determining brand loyalty highly correlated to market share

Despite the extensive research on loyalty, academic discussions on simple and effective loyalty indices are surprisingly scarce. One of the few suggestions for loyalty indices is the net promoter score (NPS). Approximately two-thirds of Fortune 1000 companies currently use this index due to its overwhelming simplicity. However, scholars have criticized NPS for being inferior to other loyalty indices. Accordingly, scholars have mainly used Likert scales that cannot compare products/services using a single question and are subject to a response bias due to cultural differences. To fill this gap, we address the following four main criticisms of NPS: First, its advantages over the Likert scale of preferences and recommendation and purchase intentions are unproven; second, it cannot compare a competing product or service using a single question; third, its threshold setting is subjective; and fourth, it suffers from a cultural response bias tendency. This study asks the following research question: “Is brand selection superior to Likert scales in explaining sales performance?” To form a generalized conclusion, we examine 100 brands selected from 20 industries in the US market. The results of randomized controlled trials prove the superiority of selection over scale. Thus, brand selection should be emphasized to measure brand loyalty.

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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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