Enhancing Advertising Creative Optimization through AI: A Comparative Analysis of Genetic Algorithms and Reinforcement Learning Techniques

Abstract

This research paper investigates the efficacy of Artificial Intelligence (AI) techniques, specifically Genetic Algorithms (GA) and Reinforcement Learning (RL), in optimizing advertising creativity. As the digital advertising landscape becomes increasingly competitive, personalized and dynamic creative content is crucial for capturing audience attention and driving conversions. This study provides a comparative analysis of GA and RL, two AI methodologies capable of automating and enhancing the creative process in digital advertising. Genetic Algorithms, inspired by natural evolutionary processes, are utilized to evolve creative elements by simulating processes such as selection, crossover, and mutation. Reinforcement Learning, on the other hand, focuses on training agents to make sequential decisions through a reward-based system, adapting creative content in real-time based on user interaction data. Through a series of experiments conducted on multiple advertising campaigns across different platforms, the paper evaluates the performance of these techniques in terms of engagement rates, conversion rates, and computational efficiency. The results indicate that while both techniques significantly outperform traditional methods, Reinforcement Learning demonstrates superior adaptability and efficiency in rapidly fluctuating advertising environments. However, Genetic Algorithms offer robust solutions in scenarios where historical data is sparse or the objective space is highly complex. The findings underscore the potential of integrating both approaches to further enhance the creative optimization process, suggesting a hybrid model could leverage the strengths of each technique. This research contributes to the field of AI-driven marketing strategies, offering insights into the practical application of sophisticated AI algorithms in optimizing advertising creativity and improving campaign effectiveness.