International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-Driven Adaptive Content Marketing: Automating Strategy Adjustments for Enhanced Consumer Engagement

Author(s) Merlin Balamurugan
Country United States
Abstract The intersection of artificial intelligence (AI) and content marketing has revolutionized consumer-business interactions. AI-driven adaptive content marketing enables real-time adjustments based on consumer behavior data. This capability fosters personalized and relevant marketing experiences, enhancing customer engagement. This review article delves into the mechanisms that underpin AI-driven adaptive content marketing and identifies the challenges organizations face during implementation. Among these challenges are data privacy concerns and integration complexities. Additionally, the article highlights the benefits of automating marketing strategies, such as increased efficiency and effectiveness. By leveraging AI algorithms, businesses can tailor their content dynamically to meet audience needs. This approach is applicable across various sectors, including e-commerce and entertainment. Healthcare also benefits significantly from AI-driven content personalization. The findings emphasize AI's crucial role in shaping the future of marketing. Ultimately, the article provides valuable insights for effective implementation. It underscores the transformative potential of AI in enhancing marketing strategies.
Keywords AI, adaptive content marketing, consumer engagement, marketing automation, personalization
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-26
Cite This AI-Driven Adaptive Content Marketing: Automating Strategy Adjustments for Enhanced Consumer Engagement - Merlin Balamurugan - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27940
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.27940
Short DOI https://doi.org/g59zvj
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com