Analysis of E-Commerce Websites GCC using Data Science Approach

Abstract

Electronic commerce is the process of buying or selling goods or services using Internet technologies. With the growth of digital technologies like the internet, smartphones etc., it is expanded in GCC. The business website plays an important role in facilitating the business transition and attracting customers. Business analytics comprises of analysis of business data using Quantities, statistical analysis or data science-based approaches to solve business problems, while data visualization is a graphical representation of the analyzed data. The current research paper articles adopt a data science-based approach, using analytics and visualization to analyze the various e-commerce websites operating in the GCC region. For this purpose, 37 Companies from six different GCC countries having their online sales operations were selected. The information regarding these company websites was gathered from platforms like Similar Web, SEMrush, and Google Analytics industry reports, and publicly available data was collected and analyzed. The parameters like backlinks, website traffic, bounce rate, website speed, total visits, traffic duration, traffic per search, keyword rank search, security, authority scope, security scope, cross-selling and up-selling, etc. were collected from these resources. This analysis covers various aspects of e-commerce, including website characteristics. The significance of these metrics about user experience, website performance, security etc. was discussed. The strategies used for improving website performance, user experience, and SEO. The finding emphasizes the importance of optimizing website features and implementing measures to enhance security.