METHODS FOR STUDYING CONSUMER BEHAVIOR AND SEGMENTATION”
Keywords:
Consumer behavior, Segmentation, Quantitative methods, Qualitative research, Neuromarketing, Big data, Machine learning, Ethical considerationsAbstract
This article delineates contemporary methods for studying consumer behavior and segmentation, essential for strategic business decision-making. It synthesizes a range of methodologies, from foundational quantitative and qualitative approaches to advanced neuroscientific techniques and data-driven machine learning applications. The paper explores how integrating multi-method research provides comprehensive insights into consumer preferences, motivations, and decision processes, moving beyond the limitations of single-method studies. Specific attention is given to the practical application of these methods in segmentation studies, addressing challenges and recommending strategies for robust consumer profiling. Ethical considerations and future directions in this dynamic field are also discussed, emphasizing the imperative for continuous methodological evolution.
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