Cross-Border E-commerce Marketing Development Model based on Big Data

Xia Wang · Baoyu Cai

8 citations0/0 files storedJournal of Physics Conference Series

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E-commerce and Technology Innovations Digital Innovation in Industries Big Data Technologies and Applications

Abstract

Abstract With the popularity of cloud computing technology, the emergence of big data highlights its importance. Now big data has been used in the development mode of cross-border e-commerce platform of major Internet enterprises and has strong commercial value. However, there are still a variety of poor qualities goods and after-sales problems, which greatly limit the development of cross-border e-commerce. This paper analyzes the impact of big data technology on cross-border e-commerce marketing, formulates reasonable management strategies and environmental factors conducive to its own development, and analyzes the application of big data technology in the marketing system of a company. Drawing on the success factors of cross-border companies and applying the summarized marketing development model to local cross-border enterprises, it is found that the effect is significantly improved compared with the previous marketing mode, management mode and strategic planning, and enterprises using big data develop in a better direction.

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2010The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e‐commerce settings 2015Internet Use and Well-Being in Older Adults

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2022Analysis and Application of Enterprise Performance Evaluation of Cross-Border E-Commerce Enterprises Based on Deep Learning Model 2022Analysis of Multiple Linear Regression Algorithm for High Quality Development Factors of Cross-Border E-Commerce 2023The Application of Big Data Technology in the Efficient Development of Cross-Border E-Commerce Industry 2022Research on Optimization of Export Cross-border E-commerce Model Based on Big Data Analysis 2023Cross-border Website Evaluation based on Web E-commerce Platform 2024Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis 2026Competition and Integration between Traditional and Direct-to-Consumer Cross-Border E-Commerce Platform Models

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