Tools and Techniques for Researching Consumer Behaviour Online

Abstract

The aim of this study is to explore the approaches and strategies used for studying customer behavior online. Understanding how consumers act on the web is extremely valuable, as well as necessary for organizations seeking to prosper in today's competitive market. Consumer decision-making dynamics have adapted tremendously as e-commerce platforms, social media, and digital marketing channels have grown at an exponential rate. As a result, businesses need to adjust their strategy to coincide with these shifts, which necessitates a better understanding of customer actions in the virtual world. Tracking consumption patterns helps organizations better understand their consumers' preferences, demands, and motivations. With this data, businesses can efficiently modify products and services to satisfy customer needs and boost sales, all while maintaining and increasing their client base. Customer behavior analytics is an essential operation that involves gathering and analyzing data about consumers in order to identify user behaviors and extract actionable insights. This analytical technique is critical for determining the most popular features among high-value consumers. This article explains how businesses can identify patterns and tendencies through merging quantitative and qualitative data using tools such as heatmaps, funnel analysis, and questionnaire. The methodology used in this article includes the analysis of tools and strategies used for user behavior analysis. The materials on which this study is based include recent online publications and data from the official websites of the examined customer behavior monitoring systems. CZU: 366.12:004.738; JEL: M300, M310