Strategies for Delivering Personalized Digital Experiences Using Modern Content Platforms
Sai Phaneendra Manikantesh Kodete
International Journal of Scientific Research in Science and Technology, 2024, vol. 11, issue 4, 687-695
Abstract:
The evolving digital landscape requires viable strategies for tackling the rising issues associated with the digital world. Besides, to attain appreciable success in digitalized customer services, engagement and relations, and brand differentiation, user experience has to be strategically personalized. This study explores the strategies for delivering personalized digital experiences using modern content platforms, focusing digital experience platforms (DXPs), AI-driven personalized engines, and headless content management systems (CMS). The study demonstrates how organizations can leverage content intelligence, user data, and behavioral analytics for the creation of vibrant context-aware user experiences across diverse touchpoints. It analyzes real-time personalization, modular content architecture, and omnichannel delivery. The study also shows how machine learning predicts user preferences and automates content recommendations. It helps address issues of content governance in personalization, the complexities of integration, and data privacy. By virtue of the foregoing coverage, the study shows that strategic and tech-driven organizations are not only integrating technologies at a significant extent, but also deploying content strategy, customer data, and technological infrastructure to effectively deliver personalized experiences and attain scalability, which both foster positive business results and user engagement.
Keywords: Strategies; Delivering; Personalized Digital Experiences; Modern Content Platforms; Machine Learning (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST251307 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST251307/IJSRST251307 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v11:y2024:i4:id:1025
DOI: 10.32628/IJSRST251307
Access Statistics for this article
More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().