Webometric Ranking System Based on Traffic Metrics of the Websites of the Sanskrit Universities in India

Abstract

The rapid growth of the World Wide Web has made websites a crucial platform for providing information and expertise to end-users. Analysing website traffic and quality is essential for developing effective marketing strategies and optimising web server utilisation. This study conducts a webometric analysis of 18 Sanskrit university websites in India to evaluate their website traffic, bounce rate, and quality assessment. The study uses ‘SimilarWeb’ tools to collect data on website visits, page views, bounce rate, and average visit duration. The results show a significant correlation between website traffic and quality assessment metrics, with top-ranked universities exhibiting higher website traffic and engagement. The study recommends optimising SEO and content quality, improving website user experience, and instantaneous monitoring and tracking to enhance website performance. Additionally, the study suggests segmented strategies based on rank and engagement and user engagement experiments to further improve website traffic and quality assessment metrics. The findings of this study can inform digital marketing strategies and website optimisation initiatives in the higher education sector.