当少即是多:一个简短的工具,以增加分割的实施

IF 2.3 Q3 BUSINESS
J. Carins, Anna Kitunen, S. Rundle‐Thiele
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引用次数: 1

摘要

背景细分在社会营销研究和实践中仍未得到充分利用。简单的细分工具易于管理和简单的受众成员完成可能会增加整个社会营销过程中细分的使用。文章的重点细分是一项基本的营销原则,它允许营销人员根据特定群体(细分)的需求定制营销活动。有证据表明,当使用更多原则时,行为改变的可能性更大,但细分仍未得到充分利用。数据驱动的方法用于根据调查收集的几个变量来确定细分市场,但这需要时间,需要大量样本和技术分析;而且成本高,耗时长。需要简单的诊断工具来简化数据收集并增加对关键社会营销原则(如细分)的使用。方法通过三项研究,创建并验证了一个简短的诊断细分工具,并对其进行了改进,以反映当代社会营销实践。第一种方法是采用多元线性回归来预测先前进行的两步聚类分析的段隶属度。第二步将该工具应用于另一个数据集,以验证该工具是否可以准确地预测段隶属度。最后的研究提供了一个简短的诊断工具,遵循相同的开发方法,从一个更大的样本中提取数据集,其中包括客观测量,以确保重点超越个人的想法和感受。第一项研究中的细分由五个变量定义(来自16个调查问题)。该工具能够从五个问题中以很高的准确率预测分段成员。在第二项研究中,该工具用于预测片段,这与该分析中确定的片段高度对应,该分析也是基于五个变量(16个问题)。第三项研究基于40个调查问题,将发展扩展到使用16个定义变量的分析。最后的工具根据5个调查问题,以很高的准确度预测分部成员。研究或实践建议细分对于发展理解是很重要的,这使社会营销人员能够设计社会变革计划,以满足更多人的需求。这个简单的工具在样本内部和样本之间开发和验证,有可能简化数据收集,从而在社会营销实践中更大程度地吸收细分。最后一个工具结合了客观的措施,以确保细分超越了短视的消费者焦点,这已经主导了社会营销。未来的研究可以使用本文中的方法来获得具有更广泛的行为背景和更多样化的人群的短诊断工具。这些研究中使用的行为测量是自我报告测量,使用更客观的测量将进一步加强分割分析和短诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Less is More: A Short-form Tool to Increase Segmentation Implementation
Background Segmentation remains underutilised in social marketing research and practice. Simple segmentation tools that are easy to administer and simple for audience members to complete may increase the use of segmentation across the social marketing process. Focus of the Article Segmentation is a foundational marketing principle which allows marketers to tailor marketing activity to the needs of specific groups (segments). Evidence shows that behaviour change is more likely when more principles are used, yet segmentation remains underutilised. Data-driven methods are used to identify segments based on several variables collected via surveys, but they take time, require large sample sizes and technical analyses; and can be costly and time consuming. Importance to the Field Simple diagnostic tools are needed to simplify data collection and increase the use of key social marketing principles such as segmentation. Methods Three studies were conducted to create and verify a short diagnostic segmentation tool and later refine a tool that reflects contemporary social marketing practice. The first employed multiple linear regression to predict segment membership based on previously performed two-step cluster analysis. The second applied the tool to another data set to verify whether the tool could predict segment membership accurately. The final study delivers a short diagnostic tool following the same development approach to a data set drawn from a larger sample that included objective measures ensuring focus moved beyond how individuals think and feel. Results Segments in the first study had been defined by five variables (derived from 16 survey questions). The tool was able to predict segment membership to a high level of accuracy from five questions. In the second study the tool was used to predict segments, which had high correspondence to the segments identified in that analysis, which was also based on five variables (16 questions). The third study extended development to an analysis using 16 defining variables, based on 40 survey questions. The final tool predicted segment membership to a high degree of accuracy based on five survey questions. Recommendations for Research or Practice Segmentation is important for developing understanding that enables social marketers to design social change programs to meet the needs of more people. This simple tool developed and verified within and across samples has potential to simplify data collection enabling greater uptake of segmentation in social marketing practice. The final tool incorporated objective measures to ensure segmentation moves beyond the myopic consumer focus that has dominated social marketing. Future research could use the approach in this paper to derive short diagnostic tools with a broader range of behavioural contexts and with more diverse populations. Limitations The behavioural measures used in these studies were self-report measures, and the use of a more objective measure would further strengthen both the segmentation analysis and short diagnostic tool.
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来源期刊
CiteScore
4.30
自引率
16.70%
发文量
21
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