Research on the Accurate Prediction and Optimization Strategy of “10 billion Subsidies” Activity

The central objective of this essay is to meticulously investigate the “10 billion subsidies” campaign implemented by the Pinduoduo platform, with a specific focus on understanding the multifaceted impact that these subsidies exert on consumer behavior patterns and the overall financial performance, as measured by platform turnover. To delve deeper into this analysis, the essay endeavors to construct a sophisticated intelligent prediction system. This system is designed to harness the power of users’ historical consumption behavior and their usage patterns of coupons, aiming to predict with a high degree of accuracy the likelihood of users availing themselves of the subsidies offer. Through a rigorous process of data cleaning and processing, the essay will identify and extract the most relevant features that influence subsidy usage. By integrating these features with advanced machine learning algorithms, the essay seeks to generate precise predictive models. Ultimately, the findings of this report are intended to serve as a critical decision support tool for the Pinduoduo platform, enabling it to refine and enhance the strategic effectiveness of the “10 billion subsidies” campaign, thereby maximizing its return on investment and solidifying its market position in the competitive e-commerce landscape.