Research on Strategies Optimization of Enterprise Marketing Based on Regression Model

With the rise of short video platform, Tiktok has become one of the important marketing channels for clothing enterprises. Through the tremolo platform, clothing enterprises can display products, promote brands, and interact with consumers. However, how to formulate an effective marketing strategy to improve the marketing effect is an important issue for garment enterprises. Drawing from the findings of a survey, this research focuses on the field of apparel marketing, examining its current state and the utilization of Tiktok as a marketing platform. By employing the Logistic regression model, this work investigates the factors that affect consumers' intent to purchase clothing through Tiktok marketing. The findings indicate a noteworthy linear correlation among several variables, such as consumers' monthly earnings, the cost of clothing, the promptness of responses, the availability of red packets, and the status of being a top influencer. In light of these outcomes, the paper offers a set of recommendations for leveraging Tiktok in clothing marketing. These recommendations encompass strategic audience targeting, enhancing user engagement, and nurturing top-tier influencers, which may serve as a guide for those in the field.