Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50598

A Study on the Role of AI Personalizing Digital Marketing Strategies

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50598

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50598

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

MAS

MOHD ANAS SIDDIQUE

Author Services & Downloads

Full Articles

Abstract

This study examines the disruptive nature of Artificial intelligence (AI) in the personalization of digital marketing approaches and its effect in improving consumer response and business outcomes. As AI technologies including machine learning, predictive analytics, and natural language processing spread, marketers can bring an ever-greater level of personalization to the content, offers, and customer experiences based on individual preferences and behaviors in real time. The research design is descriptive and the data is gathered through structured questionnaires addressed to marketing professionals and consumers in order to evaluate the awareness, effectiveness, challenges, and ethical concerns related to the AI-driven personalization. The results indicate that AI greatly enhances the accuracy of targeting, customer satisfaction and efficiency in the process of marketing, and also notes the obstacles which include prohibitive cost of implementation, shortage of skills and privacy concerns. The concept of ethical use of data, transparency turned out to be the important factors affecting consumer acceptability and trust. The study provides empirical data to the emerging field of research about AI in marketing and provides practical suggestions about how businesses can get the best of AI integration without causing any harm. The present paper contributes to the strategic significance of AI in the future of digital marketing and preconditions the additional research on the rising AI technologies and ethical considerations.

KEYWORDS

Artificial Intelligence Digital Marketing Personalization Consumer Engagement Machine Learning Predictive Analytics Ethical Considerations Customer Experience Marketing Strategy

Cite This Article

MOHD ANAS SIDDIQUE, "A Study on the Role of AI Personalizing Digital Marketing Strategies," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50598

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

6/14/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

0

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...