Investigating Factors Affecting Consumer Purchase Intentions in the Online Retail Sector: An Analysis of Customer Data

DOI

10.2991/978-94-6463-326-9_10How to use a DOI?

Keywords

User Purchasing Behavior; Online Retail Websites; Conversion Rates; Optimization Strategies

Abstract

This work delves into the various factors influencing online shopping behavior and the impact on customer purchase outcomes. With the ever-expanding e-commerce landscape, understanding the dynamics of consumer behavior is of paramount importance for online retailers seeking to enhance their revenue and customer loyalty. Five key factors are focused on: weekends, visitor types, special days, page values, and product-related activities. Through rigorous data analysis and regression models, this study identifies how these factors interact and affect online shopping behavior. The findings reveal that weekends play a crucial role in influencing consumer behavior, with increased social media usage during weekends offering opportunities for targeted promotions. Moreover, fostering customer loyalty through tiered benefits systems can bridge the gap between new and returning customers, ultimately contributing to sustainable growth. Strategically designed special day promotions and optimized webpage designs are shown to enhance user experiences and drive higher conversion rates. Additionally, informative and engaging content on product-related pages empowers potential buyers to make informed decisions. In conclusion, by implementing cohesive strategies that leverage these factors, online retailers can effectively improve conversion rates, enhance customer loyalty, and secure a competitive edge in the online retail landscape. This research contributes to a deeper understanding of e-commerce dynamics and offers practical recommendations for businesses in this domain.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Maiqi Huang
AU  - Qing Lian
AU  - Siying Wu
PY  - 2023
DA  - 2023/12/30
TI  - Investigating Factors Affecting Consumer Purchase Intentions in the Online Retail Sector: An Analysis of Customer Data
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 87
EP  - 107
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_10
DO  - 10.2991/978-94-6463-326-9_10
ID  - Huang2023
ER  -