期刊论文详细信息
IEEE Access
Innovative Cryptocurrency Trade Websites’ Marketing Strategy Refinement, via Digital Behavior
Nikolaos T. Giannakopoulos1  Damianos P. Sakas1  Nikos Kanellos1  Stavros P. Migkos2 
[1] Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, BICTEVAC Laboratory, Agricultural University of Athens, Athens, Greece;Department of International and European Economic Studies, School of Economic Sciences, University of Western Macedonia, Kozani, Greece;
关键词: Strategic digital marketing;    digital behavior;    innovation;    decentralized payment networks;    big data;    e-commerce;   
DOI  :  10.1109/ACCESS.2022.3182396
来源: DOAJ
【 摘 要 】

Nowadays, the cryptocurrency market is thriving, through the rise in cryptocurrency trading, opening the way for cryptocurrency trading websites’ optimization. Optimization of customer satisfaction is a vital part of cryptocurrency trade organizations’ digital marketing problems. It is vital to keep digital advertisement costs low while driving more traffic to a website. This study aims to define a digital marketing strategy for cryptocurrency trading websites by utilizing digital behavior metrics. Web analytics data were gathered from 10 world-leading cryptocurrency trade websites over 80 days. Statistical analysis of cryptocurrency trade web analytics, Fuzzy Cognitive Mapping modeling, and Agent-Based Model development have been deployed. Enhancement of cryptocurrency trade digital engagement levels can boost organizations’ SEO and SEM strategy campaigns. Outputs of the study provide a handful of insights regarding cryptocurrency trading websites’ digital promotion strategy optimization and the parameters of digital behavior mostly connected with websites’ digital marketing costs and traffic. Cryptocurrency trade organizations should utilize both organic and paid campaigns, observe regularly their website KPIs connected with visitors’ behavior and enhance their website users’ experience, by increasing their engagement.

【 授权许可】

Unknown   

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