In the digital era, YouTube audience segmentation plays a pivotal role in shaping data-driven marketing strategies that foster sustainable engagement and brand growth. With over 2 billion active users monthly, YouTube serves as a dynamic platform were businesses, content creators and advertisers compete for audience attention. Understanding viewer preferences, behavioural patterns and content engagement drivers is essential for optimizing digital marketing efforts. This research delves into statistical segmentation techniques to categorize YouTube audiences based on factors such as content consumption habits, demographic variations and engagement triggers. To gather relevant insights, primary data was collected from 120 YouTube users through an online survey conducted via Google Forms, supplemented by audience interaction data from Twitter polls and Instagram stories. The survey explored key elements including preferred content types, watch time duration, thumbnail effectiveness, title attractiveness and responsiveness to personalized recommendations. The study employs statistical analysis techniques to classify distinct audience segments and assess their preferences, providing valuable data for strategic decision making in content creation and marketing optimization. The findings underscore the significance of data-driven segmentation in crafting customized content strategies that align with diverse audience expectations. By identifying the characteristics of high engagement segments, content creators and marketers can tailor video formats, themes and marketing campaigns to boost viewer retention, watch time and audience loyalty. Furthermore, the study highlights how data-driven insights contribute to sustainable digital marketing by reducing resource wastage and enhancing content relevancy. By bridging the gap between audience behaviour and strategic content creation, this research offers a framework for enhancing YouTube’s digital marketing ecosystem. These insights will aid marketers, influencers and businesses in maximizing engagement, ensuring a suitable and data-backed approach to digital marketing on YouTube.
B Anju (Sat,) studied this question.