Abstract
In the rapidly evolving field of educational technologies (Ed-tech), effective marketing management is crucial for promoting innovations and engaging a diverse audience. This research explores the use of AI-driven predictive analytics to optimize marketing strategies in the Ed-tech industry. By harnessing vast amounts of user data, predictive models are employed to identify emerging trends, anticipate customer needs, and personalize marketing content. This approach enhances the relevance of promotional efforts and improves conversion rates. However, the application of AI in this domain also poses challenges, such as ensuring data privacy, managing biases in predictive models, and balancing personalization with ethical marketing practices. The research provides insights into the innovations AI brings to Ed-tech marketing while addressing the challenges that need to be navigated to fully leverage its potential. This framework offers a strategic blueprint for Ed-tech companies to stay competitive in a crowded marketplace.
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