Maximizing the Impact of Digital Marketing: AI Integration for More Precise and Effective Strategies
Journal Title: International Journal of Multidisciplinary Research and Analysis - Year 2024, Vol 7, Issue 06
Abstract
In this dynamic digital era, the marketing Landscape continues to evolve rapidly. To stay ahead of the competition, businesses need to adapt and take advantage of the latest technology. One technology that offers tremendous potential to increase the effectiveness of digital marketing is Artificial Intelligence (AI). Artificial intelligence (AI) has become an increasingly important technology in various industries, including marketing. AI can be used to improve marketing effectiveness in a variety of ways, including data analytics, personalization, automation, and machine learning. This journal will discuss how the integration of AI in digital marketing strategies can help businesses achieve their goals more precisely and effectively. With a focus on how strategic managers can utilize AI in digital marketing, this study discusses how Strategy Management plays an important role in ensuring effective and optimal integration of AI in digital marketing strategies. In this journal, we will discuss the role of Strategy Management in determining goals and objectives, choosing the right AI tools and technologies, developing implementation strategies, measuring and tracking the progress of using AI in digital marketing, optimizing the use of AI, ensuring that the use of AI in digital marketing is ethical and complies with applicable regulations and the benefits and impacts of using AI in digital marketing. The results of this study show that the use of AI offers tremendous opportunities for businesses to improve their digital marketing effectiveness. With an effective and well-planned management strategy, businesses can leverage AI to achieve their goals, increase ROI, and gain a competitive edge in this dynamic market.
Authors and Affiliations
Andi Pangeran,Iqbal Afra,Tito Peter Lenando
Keywords
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- EP ID EP737469
- DOI 10.47191/ijmra/v7-i06-35
- Views 62
- Downloads 1
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