Assessing the Impact of SEO Innovations on Web Traffic and User Retention Rates

Abstract

This study evaluates the impact of artificial intelligence (AI)-based SEO innovations on increasing web traffic and user retention on e-commerce sites in Indonesia. Using a quantitative approach, the study collected data from 50 e-commerce websites that implemented AI-based SEO strategies over a one-year period. The results of the analysis showed a significant increase in web traffic metrics, which was an average increase of 40%, as well as longer session durations of up to 20% and a 15% decrease in bounce rate after the implementation of SEO innovation. The study also found that AI-based optimization, which includes keyword analysis and content adaptation to user behavior, is able to improve the quality of traffic and user engagement, making these innovations effective for attracting more relevant users and increasing the frequency of return visits. However, this study identifies a gap in research related to the long-term effects of SEO innovation on consistent user experience. The resulting recommendations underscore the importance of continuous content updates as well as the use of data analytics to maintain user interest. These findings contribute to digital marketing practitioners in designing SEO strategies that focus on improving user retention, as well as offering insights for further research on SEO optimization based on cutting-edge technology