Adoption Of Consumer Behaviour Metrics Effective Virtual Retail Marketing

Abstract

Maintaining up with the measurements of consumer behaviour is crucial in the ever-changing world of online retail marketing. For data-driven decisions, better customer experiences, optimized marketing strategies, and increased income, the use of consumer behaviour indicators in online retail marketing is crucial. To better compete in today's digital marketplace, it helps stores learn more about their customers' likes, dislikes, habits, and trends. Challenges arise from factors including the need for instantaneous adjustments, the variety of consumer actions, and the complexity of data integration and analysis. Getting beyond these roadblocks is essential for using consumer behaviour insights effectively. To effectively gather, analyze, and use consumer behaviour indicators, the paper introduces Real-Time Behaviour-Based Customer Segmentation Analysis (RTB-CSA). This novel technique integrates innovative machine learning algorithms, data analytics, and real-time tracking technologies. In addition to gathering and analyzing data, this method yields valuable insights that can direct advertising, individualized suggestions, and the layout of online shops. This method has several potential uses in the digital advertising, e-commerce, and augmented reality retail industries. Retailers may improve customer engagement and conversion rates by using consumer behaviour indicators to fine-tune product placement, pricing, and advertising. Our findings show significant consumer involvement, conversion rates, and revenue creation enhancements. Concerns about data privacy and ethics are additionally addressed, assuring the ethical application of consumer behaviour measurements.