首页|基于用户画像的农产品电商精准营销关键技术研究与应用

基于用户画像的农产品电商精准营销关键技术研究与应用

扫码查看
农产品电商迅速发展进一步激发了农产品线上消费的多样化与个性化需求.然而,大数据时代背景下,传统农产品电商营销缺乏用户数据挖掘与分析,对目标用户的定位不够精准.在对用户画像概念与应用分析基础上,对用户画像构建的关键流程与技术进行梳理与阐述,构建农产品用户画像精准营销机制与逻辑框架,并利用某特色农产品电商消费数据进行应用实例论证与分析.该研究有效地完成了某电商平台用户数据采集、数据分析和用户画像构建,实现针对农产品的精准营销、个性化推荐和消费预测分析等,为农产品电商行业发展提供建议.
Research and Application of Key Technologies for Precision Marketing of Agricultural Products E-commerce Based on User Portraits
Rapid development of agricultural e-commerce has further stimulated diversified and personalized demand for online con-sumption of agricultural products.However,in the era of big data,traditional agricultural product e-commerce marketing lacks user data mining and analysis,positioning of target users is not accurate enough.Based on analysis of concept and application of user por-traits,key technologies and processes for construction of user portraits were combed and expounded,mechanism and logical framework for precision marketing of agricultural product user portraits was built,and application case demonstration and analysis was conducted us-ing e-commerce consumption data of a certain characteristic agricultural product.The research effectively completed user data collection,data analysis and user profile construction of an e-commerce platform,realized precision marketing,personalized recommendation and consumption forecast analysis of characteristic agricultural products,and provided practical suggestions for development of agricultural product e-commerce industry under background of rural revitalization.

agricultural productsprecision marketinguser portraitdata miningE-commerce

傅丽君、潘旭伟

展开 >

台州职业技术学院电子商务产业研究所,浙江 台州 318000

浙江理工大学经济管理学院,浙江 杭州 310018

农产品 精准营销 用户画像 数据挖掘 电商

浙江省教育厅一般课题(2022)台州市哲学社会科学规划项目(2023-2024)

Y20224987823GHB02

2024

农业工程
北京卓众出版有限公司

农业工程

CSTPCD
影响因子:0.422
ISSN:2095-1795
年,卷(期):2024.14(1)
  • 12