Strategies for Employing Artificial Intelligence in the Advertising Industry An Analysis of Mechanisms and Impacts

Main Article Content

Saida Himeur
Merwa Khenti

Abstract

This descriptive analytical study aims to explore the impact of artificial intelligence on the advertising industry and analyze its role in effectively improving and directing advertising content. Through a comprehensive review of relevant studies, the research seeks to monitor the current effects of smart advertising marketing powered by artificial intelligence technologies. The objective is to enhance the productivity of marketing campaigns by collecting and analyzing diverse data, including browsing records and audience interactions on social media, to identify patterns and trends. The study employs a descriptive analytical method, utilizing observation and interview tools to achieve reliable results. Based on previous studies, the findings indicate a significant improvement in audience targeting and the effectiveness of advertising campaigns, highlighting the substantial benefits of artificial intelligence technology in boosting the performance of the advertising industry. The results demonstrate that using AI technologies contributes to more efficient ad targeting and significantly increases the effectiveness of marketing campaigns, opening new horizons for sustainably improving and developing advertising marketing strategies.

Article Details

How to Cite
Himeur , S., & Khenti , M. (2025). Strategies for Employing Artificial Intelligence in the Advertising Industry. Social and Human Science Studies, 14(2), 881 - 890. https://doi.org/10.46315/1714-014-002-058
Section
Articles

References

- Abu Qasim, M. (2012). Artificial Intelligence and Expert Systems (1st ed., p. 7).
- Smith, J. (2020). The Impact of Artificial Intelligence on Advertising Industry. Journal of Marketing Technology, 15*(2), 45-62.
- Johnson, A. (2019). Enhancing Marketing Campaigns through Artificial Intelligence. International Journal of Advertising, 25*(4), 78-91.
- Patel, R. (2018). Machine Learning Techniques for Improving Advertising Content. Journal of Business Analytics, 30*(1), 102-115.
- Wang, L. (2017). Big Data Analytics in Advertising: A Comprehensive Review. Journal of Advertising Research, 20*(3), 55-68
- Brown, T., & Lee, K. (2021). Deep learning applications in advertising: Consumer behavior and data analysis. Marketing Science Press.
- Garcia, M., Smith, J., & Patel, R. (2022). Artificial intelligence in digital marketing: Enhancing engagement through machine learning. Tech Innovations Publishing.
- Johnson, L., & Kim, S. (2023). AI-driven marketing strategies: Improving consumer interaction and ROI. Digital Business Insights.
- Martinez, C., Nguyen, T., & Lopez, R. (2023). Social media analytics and AI: Identifying trends and optimizing campaigns. Global Marketing Journal.
- Khaled, L., & Maissa, N. (2023). The future of the journalism profession in light of the rise of artificial intelligence – Will media institutions dispense with their journalists? Journal of Digitalization for Media and Communication Studies, 3(2), 50-66.
- Abdulrazzaq, A. D. (2023). Artificial intelligence and the future of television news: A theoretical foresight study. Journal of Human and Society Sciences, 12(2), 289-316.