International Journal For Multidisciplinary Research
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Adoption and Impact of Artificial Intelligence Technologies in Digital Marketing: a Study with Special Reference to Coimbatore City
| Author(s) | Dr. RAMACHANDRAN P, Mr. VIGNESHKUMAR K |
|---|---|
| Country | India |
| Abstract | ABSTRACT The integration of Artificial Intelligence (AI) in digital marketing has led to a transformative shift in how businesses engage with their audiences and optimize marketing strategies. Digital marketing leverages various online channels such as social media, email, SEO, and mobile platforms to promote products and services, allowing businesses to reach global audiences, personalize messaging, and analyze consumer behavior in real time. With the rapid advancements in AI, digital marketing has evolved to become more data-driven, efficient, and customer-centric. AI applications in digital marketing, including content generation, data duration, email automation, digital advertising, web search optimization, and predictive analytics, enable marketers to craft highly personalized experiences and gain deeper insights into customer preferences. This results in improved targeting, enhanced customer satisfaction, and better campaign performance. Businesses adopting AI gain a competitive advantage through cost efficiency, resource optimization, and adaptive strategies aligned with evolving market dynamics. However, this digital transformation also raises ethical concerns regarding data privacy, algorithmic bias, and employment displacement, which must be addressed to ensure responsible implementation. This study explores the current influence and future potential of AI in digital marketing, focusing on how businesses in Coimbatore are adopting these technologies. It also investigates the relationship between traditional and AI-driven digital marketing strategies, aiming to understand their impact on customer experience and marketing effectiveness. |
| Keywords | Keywords: Artificial Intelligence, Digital Marketing, Personalization, Consumer Behavior, Predictive Analytics, Content Generation, Data Curation, Automation, Traditional Marketing. |
| Field | Mathematics > Economy / Commerce |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-09-02 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.55014 |
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