Description
Exploring Consumer Behavior Using Web Analytics: A Mixed-Methods Study of Online Shopping Preferences
Abstract
The primary objective of this research is to examine how Web Analytics influences customer behavior in online retail environments. The rise of e-commerce transforming the way people buy, hence it’s imperative that businesses understand what drives online shoppers’ choices. However, researchers utilize web analytics to identify choices that affect purchasing habits. This aims to analyze the behavior of consumers when shopping online. Besides, to remain in the lead as online shopping continues to increase, businesses need to enhance user experiences. Moreover, increase conversion rates, and modify marketing strategies to accommodate evolving customer demands. The research examines a range of web interactions, including page views as well as click-through rates, and browsing behavior.
Additionally, the study presents helpful information regarding how customers utilize online platforms and make purchasing decisions. A mixed-methods approach that combines qualitative findings from the customer interviews. Whereas it uses quantitative measures from web interactions are employing to achieve this. The quantitative section focuses on online analytics, moreover, tracking product interests, browsing patterns, and buying frequency. Furthermore, to analyze the interconnection of these habits with buying behavior, statistical methods are utilized. Customers who shop online are interviewed within the qualitative stage to know their preferences, issues, and opinions. For instance, a two-step strategy allows it to be able to acquire holistic insight into what impacts consumer behavior.
Ultimately, this study will offer useful insights to companies desiring to improve their online shopping sites. Overall, the study found trends and elements affecting purchasing decisions. Hence, businesses will improve website layout, customize marketing tactics, and build additional user experiences through the findings. Finally, firms looking to maximize sales and satisfaction among customers during the competitive e-commerce age need to utilize web analytics. Overall, it helps to enhance consumer dynamics understanding as online purchasing behavior keeps changing.
Read more about the topic
Analyzing Consumer Behavior Towards E-Commerce Website Using Web Usage Mining
Leveraging Web Analytics To Understand The Customer Behavior
View Other Projects on Online Shopping
Customer Trust in Online Shopping: A Mixed-Methods Study on the Role of Data Privacy and Security
Exploring Consumer Loyalty in the Digital Age: A Mixed-Methods Study of Online Shopping Platforms
Reviews
There are no reviews yet.