Upadhyay, Amol (2023) An analysis of e-commerce purchase behaviour across the UK and Brazil. Masters thesis, Dublin, National College of Ireland.
Preview |
PDF (Master of Science)
Download (3MB) | Preview |
Preview |
PDF (Configuration manual)
Download (1MB) | Preview |
Abstract
E-commerce has vastly evolved since CompuServe’s 1969 launch. Technological advances and changing global economic circumstances will continue to boost internet trading. By 2023, online shopping might contribute for 22% of global retail sales, up from 14% in 2017. It is expected that by 2024, digital wallets will conduct more than 50% of internet payments. Different geographical locations are expected to share some common e-commerce patterns, and also possess unique characteristics. We analyzed two public e-commerce databases, one from the UK and one from Brazil. Recency, Frequency, and Monetary Value (RFM) analysis was performed to both datasets, as well as K-Means clustering to contrast the client pools. We found out a number of interesting customer behaviors. For instance, the purchase of common items, number of high-profile customers in terms of revenue, preferred shopping day, and share of loyal customers. We expect our findings are of interest to any e-commerce company from the UK expanding into Brazil, and vice versa.
Item Type: | Thesis (Masters) |
---|---|
Supervisors: | Name Email Estrada, Giovani UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HF Commerce > Marketing > Consumer Behaviour H Social Sciences > HF Commerce > Electronic Commerce |
Divisions: | School of Computing > Master of Science in Data Analytics |
Depositing User: | Tamara Malone |
Date Deposited: | 27 May 2023 11:27 |
Last Modified: | 27 May 2023 11:27 |
URI: | https://norma.ncirl.ie/id/eprint/6678 |
Actions (login required)
View Item |