摘要
在信息技术快速发展的时代背景下,各个行业均迎来全新的发展机遇。人工智能技术在市场营销领域的应用日渐普遍,对提高工作人员的工作效率,强化工作人员工作能力具有重要意义。本文综合文献资料法和实证分析法,构建了基于BP神经网络的数字营销模型,并探究其应用情况。研究发现,数智化营销可以针对不同的受众群体提供个性化服务和产品,同时可以借助智能化的数据分析实现精准的目标受众定位和个性化的营销策略制定。最后,本文阐述了该BP组合模型的意义与贡献,对于数字营销领域的进一步发展具有一定的指导意义。
In the context of the rapid development of information technology,all industries are facing new development opportunities.The application of artificial intelligence technology in marketing is becoming increasingly widespread,which has a positive signifi cance in improving the work effi ciency of staff members and strengthening their work abilities.This article combines literature review and empirical analysis to establish a digital marketing model based on BP neural network and explores its application.The research indicates that digitalized marketing can off er personalized services and products tailored to diff erent audience groups.Furthermore,it can utilize intelligent data analysis to achieve precise targeting of target audiences and the formulation of personalized marketing strategies.Finally,the paper elaborates on the signifi cance and contribution of the BP combination model,which holds certain guiding signifi cance for the further development of the digital marketing fi eld.
作者
肖贺耕
黄铮
Xiao Hegeng;Huang Zheng(Northeast Forestry University,Harbin,Heilongjiang 150040)
出处
《中国商论》
2024年第5期111-114,共4页
China Journal of Commerce
关键词
人工智能
数字营销
算法模型
信息技术
市场营销
数智化
Artificial Intelligence
Digital Marketing
Algorithm Model
Information Technology
Marketing
Digitization