AI-Optimized Customer Segmentation for Targeted Cryptocurrency Marketing
DOI:
https://doi.org/10.18034/abr.v14i1.708Keywords:
AI, Customer Segmentation, Cryptocurrency, Marketing Strategy, Targeted Marketing, Personalized MarketingAbstract
This study examines how AI-optimized consumer segmentation may enhance well-focused Bitcoin marketing campaigns. The primary goals are to investigate the theoretical underpinnings, conduct empirical evaluations, and offer valuable recommendations for cryptocurrency marketers. Methodologically, a thorough literature research is carried out, and then actual data from the real world is used for empirical analysis. Important discoveries show that AI-driven segmentation promotes user engagement, increases marketing efficacy, and supports long-term growth in the Bitcoin ecosystem. However, restrictions like algorithmic bias and data privacy issues demand policy changes. To solve these issues, it is advised to implement ethical standards, industry collaboration, educational initiatives, and regulatory guidelines. This study demonstrates how AI-optimized segmentation may revolutionize targeted cryptocurrency marketing by promoting user loyalty, meaningful interaction, and sustainable growth.
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