This paper explores the potential of applying Artificial Intelligence (AI) andMachine Learning (ML) technologies to enhance targeting strategies and advertising effectivenessin higher education institutions. The proposed model enables precise audience segmentation,personalized communication, and predictive analytics to optimize marketing campaigns. Byintegrating centralized data systems and behavioral analysis, universities can improve resourceallocation, increase reach, and strengthen their competitiveness in the educational market. Theresearch provides a data-driven foundation for implementing smart targeting approaches in digitalmarketing for higher education
| Mualliflar | Bakhtiyorova, Nigina |
|---|---|
| Jurnal | Иқтисодиёт ва туризм |
| Nashr sanasi | 2025-10-28 |
| Jild | 5 |
| Son | 25 |
| Til | O‘zbek |
машинное обучение, таргетинг, Искусственный интеллект, machine learning, targeting, Artificial Intelligence, mashinaviy o‘qitish, targeting, Sun’iy intellekt
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