Leveraging Website Analytics to Enhance User Experience with Pop-Ups and Drive Sales Conversions

This paper explores the potential of leveraging website analytics to optimize the display time of pop-up notifications using custom scripts developed with PHP, JavaScript, and MySQL. By analyzing user clicks and scrolls, an optimal inactive threshold for displaying pop-ups is determined to encourage users to take action during their shopping sessions. The methodology demonstrates the capability of utilizing website analytics to improve UX and engagement, with the custom scripts showcasing the flexibility of combining PHP, JavaScript, and MySQL for capturing and analyzing user interaction data. However, the study acknowledges limitations, including the actual impact on user engagement, conversion rates, and sales, which needs to be quantified through robust evaluation processes such as A/B testing or user testing. Despite its limitations, the study serves as a valuable starting point for future research in web analytics and UX optimization. Thus, this paper contributes to the growing body of knowledge on utilizing website analytics to improve user experience and engagement in e-commerce. By refining and extending the proposed methodology, researchers and practitioners can develop more effective strategies for tailoring website content and notifications, leading to higher user satisfaction, engagement, and conversion rates in the e-commerce domain.