Examining AI Integration in Personalized Marketing to Attract Customers: Evaluating the Challenges and Impact of this Trending Marketing
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Abstract
This study would investigate the use of Artificial Intelligence in personalized marketing and analyze its performance in attracting customers and engaging them. The study depicts AI's capability to study consumer behavior, demographics, and preferences, allowing consumers to benefit by using AI-based strategies through targeted and relevant marketing experiences. AI algorithms personalize messages, predict individual preferences, and optimize consumer interactions, and ultimately strengthens conversion rates and propels deeper engagement. The study is conducted on the key technologies, including Natural Language Processing (NLP), AI-powered chatbots, and virtual assistants, probing the expected roles of these technologies in offering real-time customer interactions and personalized support. Further, the study elaborates on the contribution of AI to specific areas, such as product recommendation with a customized approach, personal advertising, and gamified marketing experiences tailored to individual consumer preferences. However, the paper also covers challenges that come with using AI in marketing. These are viewed in relation to data privacy, transparency, and ensuring the promise of fairness in AI algorithms that prevents bias. Such are the issues that form the delicate balance between a personalized experience versus ethical consideration in ensuring that consumer trust and loyalty do not get bruised. With regards to this, it is evident that AI revolutionizes personal marketing because brands are now able to modulate more relevant and engaging customer experiences. Drawing on this context, this paper analyses possible benefits as well as challenges that businesses might face through AI-driven marketing strategies. In so doing, companies will get a better understanding of how AI might be leveraged in attracting customers and pushing for sustained growth.