THE STRATEGIC ROLE OF AI IN ENHANCING MARKETING EFFECTIVENESS
The strategic use of Artificial Intelligence (AI) in marketing has emerged as an indispensable tool fororganizations in Coimbatore that wish to improve the effectiveness of marketing and negotiate the dynamics ofthe contemporary marketplace. This thesis delves into the ever-evolving interconnection between AItechnologies and marketing strategies, with a view to discovering how AI can be strategically harnessed tostreamline marketing efforts and provide a competitive advantage. Through a critical analysis of all theavailable literature and actual-case studies, the research looks into major applications of AI in marketing, suchas segmentation of customers, directed marketing, creation of personalized content, and predictive analytics. Italso explores the working principles of AI algorithms, which provide for the processing of large volumes of dataand extraction of actionable insights that guide and direct strategic decision-making. Through the use ofqualitative and quantitative research approaches, this thesis assesses how firms in Coimbatore have effectivelyintegrated AI-driven marketing strategies and determines the determinants of successful adoption of AI. Theresearch also responds to the issue of the challenge‘s organizations encounter in adopting AI technology intotheir marketing function, highlighting the determinants of successful integration. Furthermore, it delves into theethical context of AI in marketing, such as data privacy issues, transparency, and algorithmic discrimination,calling for responsible practice in marketing that would emphasize consumer well-being and ethicalconsiderations. In conclusion, this research provides rich insights into the strategic importance of AI to improvemarketing efficiency, providing an outline for Coimbatore businesses to use AI to enhance marketingperformance and sustainable development in a more digitalized environment.Keywords: Artificial Intelligence, Marketing Effectiveness, Personalization, Predictive Analytics, EthicalConsiderations.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-14
- DOI
- https://doi.org/10.5281/zenodo.16874729
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00