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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67900

AN EMPIRICAL STUDY ON DIGITAL MARKETING'S IMPACT ON YOUNG CONSUMERS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67900

Volume:

10 |

10 |

Oct 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

Mohamed iliyas A

Mohamed iliyas A

Department of MBA

Sri Ramakrishna College of Arts & Science, Coimbatore

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MD

Mythili D

Department of MBA

Sri Ramakrishna College of Arts & Science, Coimbatore

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Abstract

This study empirically investigates how digital marketing impacts the buying behavior of young consumers aged 18 to 35, utilizing a quantitative survey methodology with 400 respondents. The findings indicate that influencer trustworthiness and peer-driven online reviews have the strongest statistical impact on youth purchase intentions, often triggering impulsive buying patterns, whereas data privacy concerns serve as a primary deterrent. You can read the full analysis of the study's framework, literature review, and methodology above.

KEYWORDS

dynamic hyper-targeted digital marketing ecosystems

Cite This Article

Mohamed iliyas A, Mythili D, "AN EMPIRICAL STUDY ON DIGITAL MARKETING'S IMPACT ON YOUNG CONSUMERS," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-5, Oct 2026.

Full Article/Conclusion

This study concludes that digital marketing heavily shapes the buying choices of young consumers (aged 18–35). The traditional structured consumer funnel has evolved into a hyper-accelerated, loop-based digital model where product discovery and transaction completion happen in seconds. While algorithmic personalization and influencer validation successfully boost youth purchase intent, the modern youth consumer remains highly sensitive to data exploitation and authentic community feedback.

References

·                  For Influencer Credibility (Source Credibility Model): Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. doi.org ·                  For Ad Personalization (Algorithmic & Privacy Paradox): Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). The impact of personalization on privacy concerns: Consumer reactions to data collection literacy. Journal of Retailing, 91(1), 34–49. doi.org ·                  For Peer Online Reviews (Electronic Word-of-Mouth & Trust): Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354. doi.org ·                  For Data Privacy Concerns (The Privacy Paradox Framework): Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of consumer preferences and the willingness to provide personal information for online personalization. MIS Quarterly, 30(1), 13–28. doi.org ·                  For Youth Buying Behaviour (Impulsive Buying & Frictionless E-Commerce): Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320–327. doi.org

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Publication Date

10/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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