Research on Digital Marketing Strategy Optimization Based on 4P Theory and Its Empirical Analysis

Objective: This study explores an optimization model for digital marketing strategies based on the 4P theory, addressing the limitations of traditional marketing in digital environments, enhancing corporate profitability, user conversion rates, and customer satisfaction, and verifying the effectiveness of the optimized strategies. Methods: Based on the 4P theory, combined with dynamic pricing models and omnichannel layouts, we constructed an optimization model aimed at maximizing profits. Through simulation experiments, we compared experimental and control groups of electronic products, clothing, and daily necessities on an e-commerce platform. The evaluation indicators included profit growth rate, user conversion rate, and customer satisfaction index. Results: The optimized strategies significantly improved marketing performance: the experimental group's profit growth rate increased by 25%-33.3% compared to the control group, user conversion rates improved by 50%-66.7%, and the average customer satisfaction index increased by 6-8 points. Conclusion: The optimization strategies based on the 4P theory have significant value in digital environments, providing support for enhancing enterprise competitiveness and resource allocation efficiency. Future work can expand multi-scenario validations and integrate artificial intelligence to achieve real-time strategy optimization.