大数据背景下茶叶电商营销问题与策略探析

Analysis of Problems and Strategies of E-Commerce Marketing of Tea under the Background of Big Data

摘要: 在数字经济与人工智能技术快速发展的背景下，发展线上销售成为企业营销创新与决策优化的重要方向。中国茶叶产业作为兼具传统文化与现代消费特征的行业，其电商化进程正经历深刻变革。本文以茶叶为研究对象，在大数据背景下，探讨茶叶电商营销模式的创新路径。通过对智能推荐算法、社交内容传播与品牌文化数字化的系统研究，对用户行为与市场信息的科学分析在提升营销精准性、促进品牌传播效率与增强消费者黏性方面发挥了显著作用。同时，研究发现我国茶叶电商仍面临品牌集中度低、数据孤岛现象广泛、人才较缺乏与文化内涵不足等挑战。

Abstract: In the context of the rapid development of the digital economy and artificial intelligence technology, developing online sales has become an important direction for enterprises’ marketing innovation and decision optimization. The Chinese tea industry, as an industry with both traditional culture and modern consumption characteristics, is undergoing profound changes in its e-commerce process. This paper takes tea as the research object and explores the innovative paths of tea e-commerce marketing models in the context of big data. Through systematic research on intelligent recommendation algorithms, social content dissemination, and digitalization of brand culture, this study has played a significant role in improving marketing accuracy, promoting brand dissemination efficiency, and enhancing consumer loyalty through scientific analysis of user behavior and market information. At the same time, the research found that China’s tea e-commerce still faces challenges such as low brand concentration, widespread data silos, a shortage of talent, and insufficient cultural connotations. Therefore, this paper proposes numerous countermeasures and suggestions, aiming to provide theoretical support and practical guidance for the digital transformation and sustainable development of some tea industries in China.