Machine Learning and Customer Behavior Insights: Exploring the Depth of Predictive Analytics in Enhancing Consumer Interaction and Engagement
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Abstract
Machine learning (ML) is transforming how businesses understand and engage with customers. This exploratory research discusses the application of predictive analytics using ML to gain insights into customer behavior. We discuss various ML algorithms, types of data analyzed, and the practical implications of these insights for enhancing consumer interaction and engagement. The study suggests that businesses utilizing ML-driven customer insights can improve marketing strategies, customer service, and overall customer experience. Ethical considerations and challenges associated with ML in customer behavior analysis are also examined. As ML technology advances and data availability increases, predictive analytics holds significant potential for enhancing consumer engagement and providing businesses with a competitive edge.
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Last updated: 05-02-2023