IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN INTERNATIONAL INFLUENCER MARCETING PROCESSES
Abstract
International influencer marketing is challenged by market fragmentation, cultural diversity, and inefficient traditional ROI forecasting for multinational corporation (MNCs). This article proposes a conceptual framework for integrating Artificial Intelligence (AI), including deep learning (DL) and natural language processing (NLP), into international marketing strategies. Predictive analytics using DL models optimizes investments by integrating campaign metrics and macro-indicators. Multimodal content adaptation, utilizing NLP for cultural transcreation and computer vision for visual localization, enables successful ‘glocalization’. The integration of AI transforms international influencer marketing into a high-precision, data-driven discipline, granting MNCs the ability to achieve global consistency and local authenticity. Further research must address ethical AI governance and algorithmic bias.
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