Unveiling Customer Personalities Using Segmentation and Exploratory Data Analysis
DOI:
https://doi.org/10.56294/hl2024.420Keywords:
Personalities, Segmentation, Exploratory Data AnalysisAbstract
Introduction: This study focuses on analyzing customer personalities through segmentation techniques and exploratory data analysis (EDA) to better understand consumer behavior and preferences. In a highly competitive market, gaining a deeper understanding of customer needs is crucial for creating personalized marketing strategies and enhancing the overall customer experience.
Objective: The research utilizes advanced segmentation approaches to group customers based on shared traits, preferences, and behaviors, while EDA is applied to uncover trends and insights within extensive datasets.
Method: By identifying distinct customer segments, the study provides valuable recommendations that businesses can use to align their products, services, and marketing efforts with the unique demands of their clientele.
Result: The insights derived from this research enable companies to implement data-driven strategies that not only enhance customer satisfaction but also foster long-term growth.
Conclusion: By tapping into these analytical findings, organizations can optimize their decision-making processes and build stronger connections with their target audiences, ultimately positioning themselves for success in an increasingly data-oriented business landscape.
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Copyright (c) 2024 Amitabh Chandan (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
