AI Innovative Approaches in Personalized Marketing Strategies Through Prompt Engineering
DOI:
https://doi.org/10.64252/07qmq131Keywords:
Artificial Intelligence, prompt engineering, digital marketing, personalized marketing, machine learning, marketing automation.Abstract
This paper explores the revolutionary impact of Artificial Intelligence (AI) and Machine Learning (ML) on digital marketing, focusing on the critical role of prompt engineering. By enabling personalized marketing strategies, prompt engineering enhances customer engagement, segmentation, and marketing automation. It empowers businesses to fine-tune their approaches using technologies such as voice interfaces, augmented reality, and SEO optimization, leading to proactive customer acquisition. The study emphasizes the emerging potential of combining neuromarketing with AI prompt engineering to detect customers' such as physically and psychological states in real-time, providing hyper-personalized recommendations based on past consumption patterns and health data. This integration is seen as pivotal in reshaping digital marketing, offering businesses the ability to adapt dynamically to customer needs. Dynamic content recommendation systems are highlighted as pivotal in reshaping future marketing strategies by allowing real-time adaptation to customer needs. The paper concludes that prompt engineering is an invaluable tool, still in its nascent stage, but with the potential to transform digital marketing significantly. Those who leverage this technology early are poised to lead in the forthcoming marketing revolution. The integration of these technologies is portrayed as the key to maximizing the utility of AI models, offering a glimpse into a future where digital marketing is profoundly personalized and efficient.




