Research on precision marketing system based on SD-LS-SVM algorithm

This paper firstly discusses the application of big data technology in marketing system, especially the strategy of consumer segmentation through user portrait. Then a marketing system based on SD-LS-SVM algorithm is designed. The system uses big data technology to dig deeply into user behavior and preferences and build a refined user portrait. Through these portraits, this paper can accurately identify the characteristics of different consumer groups, and then achieve accurate consumer segmentation. This not only improves the targeting of marketing campaigns, but also significantly improves conversion rates and ROI. In model simulation, the effectiveness and stability of the system are verified. The results show that the system can maintain high prediction accuracy and operation efficiency under various scenarios, which proves its feasibility and reliability in practical application. In summary, the marketing system design based on user portrait provides a new perspective and tool for enterprises, so that they can grasp the market demand more accurately and improve the marketing effect.