{"title":"选择优于规模:决定品牌忠诚度与市场占有率高度相关","authors":"Takumi Kato, Nobu Takenaka, Rie Ito, Kazuki Nishiguchi","doi":"10.1057/s41270-023-00270-2","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":43041,"journal":{"name":"Journal of Marketing Analytics","volume":"18 10","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection is superior to scale: determining brand loyalty highly correlated to market share\",\"authors\":\"Takumi Kato, Nobu Takenaka, Rie Ito, Kazuki Nishiguchi\",\"doi\":\"10.1057/s41270-023-00270-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":43041,\"journal\":{\"name\":\"Journal of Marketing Analytics\",\"volume\":\"18 10\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marketing Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1057/s41270-023-00270-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41270-023-00270-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
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.
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.