This study examines different strategies and implementation techniques for web optimization. Web performance optimization (WPO) is a critical aspect of modern web development, directly impacting user experience, search engine rankings, and business outcomes. This paper explores various strategies for optimizing web performance, including keyword optimization, SEO/SEM, content design, and web analytics. We propose a comprehensive model for web performance optimization that integrates these strategies into a cohesive framework. The model is evaluated using key performance metrics such as page load time, bounce rate, and conversion rate. Our results demonstrate that the proposed model significantly improves web performance, leading to enhanced user engagement and business value. Future work could focus on integrating machine learning techniques for predictive analytics and realtime optimization.