Citation :

Ankush Singhal, 2023. "Hybrid AI Models in Advertising: Merging Predictive Analytics with Deep Personalization" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 2: 131-145.

Abstract :

A number of changes have been experienced in the advertising industry because of the introduction of artificial intelligence (AI). The combination of WP predictive analysis and deep consumer personalization is transforming the way that brands actively engage the consumer. This paper analyses how these advanced AI techniques are interconnected in creating effectual advertising strategies. Predictive analytics use past data obtained earlier in order to predict the actions and purchase decisions of the consumer. At the same time, deep personalization involves using tools such as artificial intelligence to personalize interactions with consumers at an individual level. Together, these technologies can be integrated to offer organizations tremendous engagement and conversion opportunities. This research will review the literature on the hybrid AI models in advertising’s theoretical background, recent development, and application with case studies and examples. Challenges, ethical issues, and future research directions will also be highlighted.

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Keywords :

Hybrid AI, Predictive Analytics, Deep Personalization, Advertising, Consumer Behavior, Machine Learning.