Мarketing as a system of instant response and artificial influence on consumer behavior and information trends

Abstract

Currently, traditional marketing approaches based on conventional methods of promoting goods and services are losing their effectiveness due to rapid changes in consumer behavior, dynamic market trends, the vast amount of available data, as well as the rapid expansion of artificial intelligence and automation applications. Therefore, this article aims to explore modern approaches to organizing marketing systems with adaptive functions that respond to changing market conditions and transformations in consumer behavioral patterns, within the context of current information trends. Within the conducted research, it was established that the organization of instant response marketing systems is a necessary condition for ensuring sustainable and effective business functioning in an environment of high market dynamics and transformative consumer behavior patterns. It has led to the identification of several approaches, each performing a specific function in adapting marketing strategies to changes. It has been proven that data-driven marketing enables informed decision making based on real-time analytics, which is crucial for personalizing customer interactions and enhancing the effectiveness of communication.