This study examines the problem of the lack of an integrated model for the sustainable development of a YouTube channel tailored to a specific target audience. Under conditions of algorithmically driven visibility on the YouTube platform, content creators are faced with the need to combine analytical, content-related, and managerial factors within a unified strategic framework. The article aims to develop a practically applicable model that integrates audience analysis, content optimization, video structuring, SEO practices, and systematic analysis of data from YouTube Analytics. Methodologically, the study combines an analysis of scholarly literature, an analysis of active YouTube channels, the dynamics of channel development, and the interpretation of behavioral metrics. The proposed framework is designed to support the improvement of key behavioral indicators such as watch time, audience retention, and click-through rate by aligning content strategy with audience behavior and platform recommendation dynamics. In this sense, the model provides a structured basis for sustainable organic channel development.