Year: 2026
Type: article
Abstract: The current digital marketing landscape requires businesses to make instant decisions while maintaining continuous marketing improvements without the need for human assistants.Agentic Artificial Intelligence (AI) functions as an independent system capable of making decisions and enhancing its own performance through automated marketing processes.This research evaluates existing Agentic AI systems that operate digital marketing processes without human control, highlighting their strengths and weaknesses across different stages of campaign development and execution.Based on these findings, we present an Efficient Agentic AI framework that manages digital marketing campaigns by handling all aspects from design to execution and performance assessment across different marketing platforms.The proposed framework includes intelligent modules for audience segmentation, content creation, budget distribution, performance estimation, and automatic feedback learning cycles.The study compares existing frameworks with the proposed system using marketing performance metrics, such as ROI, CTR, conversion rate, cost per acquisition, and time-to-execution.The experimental assessment shows that the proposed framework improves campaign results while reducing manual work, leading to faster decision-making processes and improved system growth.This research establishes Agentic AI as a new field in digital marketing and provides a foundation for autonomous marketing systems that operate with maximum efficiency and deliver exceptional results with minimal human involvement.
Authors: Himani Tyagi, Chunnu Lal
Institution: Quantum University
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7202364802