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The Future of Marketing Institute is the premier global forum on teaching, research, and outreach on future of marketing topics.

AI-Powered Marketing Automation

November 3, 2022 By: FMI Staff


Marketing is often deluged by the growing volume and velocity of data. Technological advancements allow companies to benefit from marketing automation tools to streamline and measure marketing tasks and workflows. However, human input is still required when data needs to be translated into decisions. Here comes AI-powered marketing automation, which can help to learn critical information through collected data and implement solutions without human intervention. So why not combine AI and marketing automation to improve marketing performance for organizations?       
                                                                                                          
In this article, Yasin A. (Executive Director at GoodCore Software) explores the application of marketing automation and AI in marketing activities. Yasin explains how the combination of AI and marketing automation can significantly improve consumer engagement through machine learning capable of analyzing data to gauge consumer responses to products. He also highlights how the application of AI in various industries can enhance the personalization strategy of organizations.  
 
The article also discovers how AI can optimize and, most importantly, bring value to marketing tasks. These tasks include and are not limited to outbound marketing, buzz marketing, digital marketing, and customer profiling.  
 
Additionally, Yasin particularly highlights the positive impact of AI-powered marketing automation on industries such as healthcare, e-commerce, finance, travel, tourism, and hospitality. Specifically, how artificial intelligence automated marketing can benefit companies by analyzing consumers’ spending patterns to tailor targeted campaigns.  
 
In the future, Yasin forecasts that the global marketing automation market is projected to reach almost $15 million by 2030.

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