Mobile devices have become the predominant mode of Internet access; since October 2016 more websites have been loaded on mobile devices than on desktop computers. Trends in mobile technology that have improved access for the public include competitive mobile data pricing, lower-cost mobile devices, and software designed to run efficiently on budget devices. An example of such trends is the Android Go operating system, which is a stripped-down version of Android designed for entry-level smartphones with 2GB or less RAM. While Android Go comes with enhancements to improve overall system performance, its effectiveness on user browsing experience is unclear. In this thesis, we perform an empirical analysis of Android Go, quantifying how much it improves the user browsing experience as captured by various user-centric browsing performance metrics. Moreover, to shed light on real-world improvements, we evaluate Android Go in a controlled environment under various constraints of memory pressure. We perform a trace-based analysis to examine the causes of slow page load performance under memory pressure. Based on our observations, we propose and evaluate 3 techniques for improving page load times when the device is running low on memory. In addition, we combine Android Go with Google’s Accelerated Mobile Project (AMP) to determine how much improvement in page load performance in total can possibly be achieved.