The rapid expansion of the EdTech industry has increased the importance of digital enrollment strategies for learner acquisition, engagement, and conversion. In an increasingly competitive digital learning environment, EdTech organizations face challenges in improving enrollment efficiency, reducing customer acquisition costs, and enhancing learner engagement. Business Analytics has emerged as a strategic tool that enables organizations to optimize digital enrollment processes through data-driven decision-making, personalization, and analytical insights. This conceptual article proposes a framework for understanding the relationship between Business Analytics capabilities and digital enrollment optimization in EdTech platforms, with specific reference to EduTantr. This study examines the influence of digital marketing effectiveness and personalization on enrollment optimization and discusses how Business Analytics strengthens digital learning environments. This study synthesizes the existing literature related on analytics-driven marketing, learner behavior, customer engagement, and enrollment conversion to establish conceptual relationships among these constructs. This article further proposes that the effective use of Business Analytics enhances learner acquisition, engagement quality, personalization efficiency, and conversion outcomes. The proposed conceptual framework contributes to the growing body of knowledge on analytics-driven enrollment optimization in the EdTech sector and provides managerial insights to improving learner conversion and organizational growth.
N et al. (Fri,) studied this question.