INTEGRATING ARTIFICIAL INTELLIGENCE INTO MARKETING STRATEGIES: A COMPREHENSIVE ANALYSIS OF CONSUMER ENGAGEMENT AND BUSINESS PERFORMANCE

Authors

  • Bondan Subagyo Universitas Tulungagung Author
  • Mokhamad Eldon Universitas Tulungagung Author
  • Nurani Universitas Tulungagung Author

DOI:

https://doi.org/10.32424/icsema.v1i1.450

Keywords:

Artificial Intelligence, Marketing Strategy, Consumer Engagement, Business Performance, Data Privacy

Abstract

The integration of Artificial Intelligence (AI) into marketing strategies has revolutionized how businesses engage with consumers and measure performance. This study investigates the impact of AI-driven marketing tools on consumer engagement and overall business outcomes. Utilizing a mixed-methods approach, we analyzed data from 150 companies across various industries that have implemented AI in their marketing efforts. Quantitative data were collected through performance metrics, while qualitative insights were gathered via in-depth interviews with marketing professionals. Our findings indicate that AI applications, such as predictive analytics, chatbots, and personalized content delivery, significantly enhance customer interaction and satisfaction. Companies reported a 25% average increase in customer engagement rates and a 20% improvement in conversion rates post-AI implementation. However, challenges such as data privacy concerns and the need for continuous algorithm training were also identified. The study concludes that while AI presents substantial benefits for marketing, successful integration requires addressing ethical considerations and ensuring transparency. These insights provide valuable guidance for businesses aiming to leverage AI to optimize their marketing strategies and foster stronger consumer relationships.

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Published

2025-09-24

How to Cite

INTEGRATING ARTIFICIAL INTELLIGENCE INTO MARKETING STRATEGIES: A COMPREHENSIVE ANALYSIS OF CONSUMER ENGAGEMENT AND BUSINESS PERFORMANCE. (2025). The International Conference on Sustainable Economics Management and Accounting Proceeding, 1(1), 4468-4476. https://doi.org/10.32424/icsema.v1i1.450