AI-Powered Predictive Analytics in Marketing: Trends, Challenges, and Future Directions
Abstract
This article examines the significant role of artificial intelligence (AI) in transforming marketing strategies, highlighting its ability to enhance decision-making and consumer engagement through the extraction of valuable insights from complex datasets, thereby reducing uncertainty and improving precision in marketing efforts. It discusses the shift from predictive to prescriptive analytics, enabling brands to implement optimal marketing actions based on real-time data. The article also notes the expansion of AI marketing into various industries beyond e-commerce, such as healthcare and manufacturing, showcasing its versatility. To address cost and resource barriers, businesses are encouraged to adopt AI incrementally, starting with simpler applications before progressing to more complex solutions. Furthermore, the importance of training and partnerships to bridge the skills gap in the workforce is emphasized, alongside the necessity for ethical considerations regarding algorithmic bias and data usage. Overall, the article provides a comprehensive overview of how AI is reshaping marketing practices while advocating for responsible deployment.
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PDFDOI: https://doi.org/10.22158/ibes.v7n2p1
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