Open AccessResearch on E-commerce Visual Marketing Analysis Based on Internet Big Data
Author(s) -
Xiaofei Hu,
Jieping Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042094
Subject(s) - the internet , perspective (graphical) , adaptation (eye) , service (business) , computer science , marketing , big data , e commerce , marketing research , digital marketing , business , world wide web , data mining , artificial intelligence , physics , optics
Through the construction of the e-commerce vision system platform and the use of big data, the behavioural analysis of the customer groups of similarly designed products is carried out to solve the related problems in visual marketing. According to the characteristics of the user groups, the series of products are pushed out design service. Based on the current research summary of e-commerce platform marketing, the article aims at optimizing the e-commerce platform system and conducts comprehensive research from the cross perspective of marketing theory and visual design. Let the visual design system achieve precise services, promote local traditional industry e-commerce marketing conditions, achieve proactive adaptation to the new normal of economic development, and provide a reference for future design service innovation in the new era.