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基于用户画像算法的饲料电商精准营销策略研究

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传统饲料营销模式由于地域限制、信息不对称等因素,难以满足畜牧养殖户的多样化、个性化需求,而电商平台的出现,虽然丰富了饲料营销渠道,但依旧没有解决客户转化率低、产品滞销的根本性问题.为此,文章首先分析了用户画像算法与精准营销的内涵,然后深入研究了用户画像算法在饲料电商精准营销中的作用,并提出了饲料电商精准营销策略,旨在帮助饲料企业更好地应对日益激烈的市场竞争,让饲料产品能够从海量竞品中脱颖而出,实现饲料产品的促销.
Research on precision marketing strategy of feed E-commerce based on user profiling algorithm
Traditional feed marketing models are difficult to meet the diverse and personalized needs of livestock breeding customers due to geographical limitations,information asymmetry,and other factors.The emergence of e-commerce platforms,although enriching feed marketing channels,still has not solved the fundamental problems of low customer conversion rates and unsold products.To this end,this article first analyzes the connotation of user profiling algorithm and precision marketing,then deeply studies the role of user profiling algorithm in precision marketing of feed e-commerce,and proposes precision marketing strategies for feed e-commerce,aiming to help feed enterprises better cope with the increasingly fierce market competition,make feed products stand out from a massive number of competitors,and achieve promotion of feed products.

user profiling algorithmprecision marketingfeed e-commercemarketing channels

张亮

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浙江旅游职业学院 工商管理学院,浙江杭州 311231

用户画像算法 精准营销 饲料电商 营销渠道

2024

中国饲料
中国饲料工业协会

中国饲料

北大核心
影响因子:0.577
ISSN:1004-3314
年,卷(期):2024.(20)
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