UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2503156


Registration ID:
556425

Page Number

b486-b498

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Title

Optimizing Digital Marketing Strategies Through AI-Driven Personalization: Analysing Consumer Behaviour and Engagement Across Multichannel Platforms

Abstract

Abstract Digital marketing is one of the most interesting subjects in the business sector. The paradigm focuses on AI-driven personalization, its impact on digital marketing, and how it recently enhanced consumer behaviors and engagement across multichannel platforms. The paradigm shift in recent times has linked these variables, investigating how they are of importance to the human workforce globally. The study aimed at Optimizing Digital Marketing Strategies through AI-Driven Personalization: Analysing Consumer Behaviour and Engagement Across Multichannel Platforms. With random sampling, participants filled out an online survey to partake in the study, using a standardized quantitative questionnaire to measure the variables involved and a regression technique to analyze the data. The model structure properly accounts for the direct and indirect effects tested in the study. It provides a clear regression framework for analyzing the relationships between digital marketing strategies, AI-driven personalization, and consumer behaviour and engagement. The results reveal that Digital Marketing Strategies positively impact consumer behavior and engagement across multichannel platforms. The study then investigated further to reveal the significance of AI-driven personalization adopted by businesses to improve consumer behavior and engagement, which proved positive. The study is essential to optimizing digital marketing strategies through AI-driven personalization: analyzing consumer behavior and engagement across multichannel platforms.

Key Words

Digital Marketing, AI-Driven Personalization, Consumer Behaviour and Engagement, and Multichannel Platforms

Cite This Article

"Optimizing Digital Marketing Strategies Through AI-Driven Personalization: Analysing Consumer Behaviour and Engagement Across Multichannel Platforms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.b486-b498, March-2025, Available :http://www.jetir.org/papers/JETIR2503156.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optimizing Digital Marketing Strategies Through AI-Driven Personalization: Analysing Consumer Behaviour and Engagement Across Multichannel Platforms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppb486-b498, March-2025, Available at : http://www.jetir.org/papers/JETIR2503156.pdf

Publication Details

Published Paper ID: JETIR2503156
Registration ID: 556425
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44033
Page No: b486-b498
Country: Worcester, Massachusetts, United States of America .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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