将直接客户的客户需求纳入多维度的 B2B 市场细分方法中

IF 7.8 1区 管理学 Q1 BUSINESS
Yihui Elina Tang , Murali K. Mantrala
{"title":"将直接客户的客户需求纳入多维度的 B2B 市场细分方法中","authors":"Yihui Elina Tang ,&nbsp;Murali K. Mantrala","doi":"10.1016/j.indmarman.2024.04.005","DOIUrl":null,"url":null,"abstract":"<div><p>Business-to-business (B2B) marketers typically segment their direct customers on two segmentation bases: <em>direct customers' expressed needs</em> and <em>evident behaviors</em>. However, direct customers' demand for business marketers' offerings is often ‘derived demand’, i.e., heavily influenced by the needs of their own downstream customers. Consequently, scholars suggest that marketers may benefit from incorporating these <em>customers' customer needs</em> as a third segmentation base, distinct from but possibly interrelated to the two bases of direct customers' needs and behaviors. However, extant joint segmentation models are limited to two-bases. Focusing on the addition of a third customers' customer needs basis, a new B2B joint segmentation model is proposed, allowing for three interrelated segmentation bases. The model is first validated in Monte Carlo simulation studies and then applied to segmenting the business customers (advertisers) of a US newspaper publisher seeking to enable more precisely targeted selling effort allocation and communications strategies. The model uncovered joint segments of business customers based on their behaviors, needs, and downstream customers' needs. Results demonstrate the advantage of the model that yields actionable segments of customers with similar downstream customer needs. Finally, model relevance and feasibility in contemporary B2B markets is confirmed in a qualitative study with experts in various industries.</p></div>","PeriodicalId":51345,"journal":{"name":"Industrial Marketing Management","volume":"119 ","pages":"Pages 252-263"},"PeriodicalIF":7.8000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incorporating direct customers' customer needs in a multi-dimensional B2B market segmentation approach\",\"authors\":\"Yihui Elina Tang ,&nbsp;Murali K. Mantrala\",\"doi\":\"10.1016/j.indmarman.2024.04.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Business-to-business (B2B) marketers typically segment their direct customers on two segmentation bases: <em>direct customers' expressed needs</em> and <em>evident behaviors</em>. However, direct customers' demand for business marketers' offerings is often ‘derived demand’, i.e., heavily influenced by the needs of their own downstream customers. Consequently, scholars suggest that marketers may benefit from incorporating these <em>customers' customer needs</em> as a third segmentation base, distinct from but possibly interrelated to the two bases of direct customers' needs and behaviors. However, extant joint segmentation models are limited to two-bases. Focusing on the addition of a third customers' customer needs basis, a new B2B joint segmentation model is proposed, allowing for three interrelated segmentation bases. The model is first validated in Monte Carlo simulation studies and then applied to segmenting the business customers (advertisers) of a US newspaper publisher seeking to enable more precisely targeted selling effort allocation and communications strategies. The model uncovered joint segments of business customers based on their behaviors, needs, and downstream customers' needs. Results demonstrate the advantage of the model that yields actionable segments of customers with similar downstream customer needs. Finally, model relevance and feasibility in contemporary B2B markets is confirmed in a qualitative study with experts in various industries.</p></div>\",\"PeriodicalId\":51345,\"journal\":{\"name\":\"Industrial Marketing Management\",\"volume\":\"119 \",\"pages\":\"Pages 252-263\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial Marketing Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019850124000610\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Marketing Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019850124000610","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

企业对企业(B2B)营销人员通常根据两个细分基础对其直接客户进行细分:直接客户表达的需求和明显的行为。然而,直接客户对企业营销人员所提供产品的需求往往是 "衍生需求",即在很大程度上受到其下游客户需求的影响。因此,学者们建议营销人员将这些客户的客户需求作为第三个细分基础,与直接客户的需求和行为这两个基础不同,但可能相互关联,从而从中获益。然而,现有的联合细分模型仅限于两个基础。以增加第三个客户需求基础为重点,我们提出了一个新的 B2B 联合细分模型,允许三个相互关联的细分基础。该模型首先在蒙特卡罗模拟研究中得到验证,然后应用于美国一家报纸出版商的商业客户(广告商)细分,以实现更精确的目标销售工作分配和沟通策略。该模型根据商业客户的行为、需求和下游客户的需求,发现了商业客户的联合细分。结果表明了该模型的优势,即可以产生具有相似下游客户需求的可操作客户群。最后,与各行业专家进行的定性研究证实了该模型在当代 B2B 市场中的相关性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporating direct customers' customer needs in a multi-dimensional B2B market segmentation approach

Business-to-business (B2B) marketers typically segment their direct customers on two segmentation bases: direct customers' expressed needs and evident behaviors. However, direct customers' demand for business marketers' offerings is often ‘derived demand’, i.e., heavily influenced by the needs of their own downstream customers. Consequently, scholars suggest that marketers may benefit from incorporating these customers' customer needs as a third segmentation base, distinct from but possibly interrelated to the two bases of direct customers' needs and behaviors. However, extant joint segmentation models are limited to two-bases. Focusing on the addition of a third customers' customer needs basis, a new B2B joint segmentation model is proposed, allowing for three interrelated segmentation bases. The model is first validated in Monte Carlo simulation studies and then applied to segmenting the business customers (advertisers) of a US newspaper publisher seeking to enable more precisely targeted selling effort allocation and communications strategies. The model uncovered joint segments of business customers based on their behaviors, needs, and downstream customers' needs. Results demonstrate the advantage of the model that yields actionable segments of customers with similar downstream customer needs. Finally, model relevance and feasibility in contemporary B2B markets is confirmed in a qualitative study with experts in various industries.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
17.30
自引率
20.40%
发文量
255
期刊介绍: Industrial Marketing Management delivers theoretical, empirical, and case-based research tailored to the requirements of marketing scholars and practitioners engaged in industrial and business-to-business markets. With an editorial review board comprising prominent international scholars and practitioners, the journal ensures a harmonious blend of theory and practical applications in all articles. Scholars from North America, Europe, Australia/New Zealand, Asia, and various global regions contribute the latest findings to enhance the effectiveness and efficiency of industrial markets. This holistic approach keeps readers informed with the most timely data and contemporary insights essential for informed marketing decisions and strategies in global industrial and business-to-business markets.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信