Research On Precision Marketing Strategy For E-commerce Platform Promotion Activities

The consumer market has undergone major changes due to the rapid development of the Internet technology and the rapid improvement of socioeconomics.Increasing production efficiency and capacity of enterprises,and increasing and rapid changes in consumer personal needs pose great challenges to the e-commerce industry,and competition is becoming more and more fierce.Attracting customers to improve conversion rates at the lowest cost is a major concern for e-commerce platforms.Thanks to the proliferation of big data and machine learning,establishing more accurate user profile makes low-cost,measurable and accurate marketing strategies one of the best options in the e-commerce industry.Academically,the concept of precision marketing was born overseas,but due to differences in domestic and international policies and consumer awareness of privacy,the domestic market is rich in research and application of precision marketing,and existing in other industries.The results of the research are that scientific research on the application of precision marketing strategies in the field of business promotion activities is very important for the Internet retail platform to formulate and apply the right marketing strategies and promote the development of the Internet consumer market.This study takes the e-commerce platform of company A as the research object,based on the theory of consumer behavior,combined with the 4C theory and the theory of customer transfer value,to discuss the impact of the intelligent UI system on the electricity consumption based on the user characteristics and decision preference model in promotional activities.The impact of platform conversion rate.The research found that the design strategy of platform A in precision marketing could not fully cover the platform user group,lack of user demandoriented design and experience,too much emphasis on personalized recommendation,which led to consumer information overload and increased shopping costs.Based on the current level of digitalization of platform A,aiming at improving the conversion rate of platform promotion activities and reducing consumer decision-making costs as the starting point,the intelligent UI solution is used to complete the accurate construction of user portraits in promotional scenarios and the design recommendations for different user groups.Experiments were carried out in the promotion activities,and it was confirmed that the design recommendation based on consumers’ shopping decision preferences in the promotion activities has a positive improvement in the transaction of products on the A platform.Establishing a model platform to observe the effect of the current algorithm and dynamically adjust the recommendation strategy will help improve the platform.Convert transactions.