Problems and strategies in the process of network marketing towards precision in the context of big data

Le He
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Abstract

The sudden outbreak of COVID-19 has greatly affected the development of all industries, and the development of many enterprises has been severely impacted. In the context of epidemic prevention and control, the Internet has brought new development space for enterprise marketing, so more and more enterprises begin to enter the field of online marketing. With the continuous progress of Internet technology and the deepening of informatization, China's big data industry has made qualitative progress. The traditional marketing model cannot meet the needs of the increasingly fierce market competition. By applying big data technology to network marketing, enterprises can dig deeply into user information and formulate corresponding marketing strategies based on users' preferences, behavior patterns and shopping habits, so as to realize precise marketing and improve their economic benefits by mining potential customers. However, there are also some problems in the process of using big data technology to move towards precision, such as serious homogenization, low application level, and privacy security issues. Only by solving these problems can enterprises use big data to achieve higher quality development.
大数据背景下网络营销走向精准的问题与策略
突如其来的疫情给各行业的发展带来了很大的影响,不少企业的发展受到了严重冲击。在疫情防控的大背景下,互联网为企业营销带来了新的发展空间,因此越来越多的企业开始进入网络营销领域。随着互联网技术的不断进步和信息化的不断深入,中国的大数据产业取得了质的进步。传统的营销模式已经不能适应日益激烈的市场竞争的需要。企业将大数据技术应用于网络营销,可以深入挖掘用户信息,根据用户的偏好、行为模式和购物习惯制定相应的营销策略,从而通过挖掘潜在客户实现精准营销,提高企业的经济效益。但是,在利用大数据技术走向精准化的过程中也存在一些问题,如同质化严重、应用层次低、隐私安全等问题。只有解决了这些问题,企业才能利用大数据实现更高质量的发展。
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