AI-Powered AdTech and Social Media Marketing in Egypt: Digital Budget Growth, Platform Optimisation, and Performance Measurement

The expansion of artificial intelligence technologies in the advertising technology (AdTech) sector has spawned paradigmatic changes in the digital marketing practices, especially in the new markets like Egypt. This extensive research paper discusses the complex aspects of AI-driven AdTech integration and social media marketing optimisation in the context of the Egyptian digital environment, with particular emphasis on the process of budget allocation, platform-specific optimisation models, and advanced performance evaluation models. The Egyptian digital advertising market has been growing exponentially with the highest rates recorded before 2020-2025 at excess of 18.7% and driven mostly by increased internet penetration rates of above 72% and increasing smartphone usage rates of almost 65 million active users. This study uses an analytical paradigm to explain the effect of machine learning algorithms, predictive analytics, and automated bidding systems to revolutionise the efficacy of the campaign management process and, at the same time, increases the return on advertising expenditure (ROAS). Moreover, the paper outlines the strategic requirements that inform digital budget redistribution out of the conventional channel to programmatic advertising medium scrutinizing socio-economic factors that drive this shift within the Egyptian market. The study summarizes the existing literature that proves the fact that AI-boosted targeting functionalities have increased the conversion rates by an average of 43 per cent and dropped the acquisition expenses of the customers by a mean of 31 per cent in various industry segments. Further, this paper delves into the incorporation of more sophisticated attribution modelling, multi-touch analytics, and real-time performance dashboards that enable making decisions regarding data. The results highlight the dire need of the Egyptian marketing practitioners to develop a technological competence in AI-based applications without losing to the cultural sensitivity and localisation requirements that appeal convincingly to the Egyptian consumer base profiles.