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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68082

A COMPARATIVE STUDY OF DIGITAL MARKETING CHANNELS AND THEIR INFLUENCE ON CONSUMER BUYING BEHAVIOUR

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68082

Volume:

10 |

10 |

Oct 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68082

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

Gairuboina Siva Nagaraju

Gairuboina Siva Nagaraju

BBA

KLEF

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DK

DR.D.Prasanna Kumar

BBA

KLEF

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Abstract

Consumers now meet brands on social media, search engines, video platforms, e-mail and mobile alerts, but many firms still choose where to spend their advertising money without clear evidence. This study looks at how ad engagement, trust, brand awareness and offer attractiveness relate to consumers’ intention to buy after seeing digital ads, and whether the likelihood of buying differs across four digital channels. A structured online questionnaire was filled in by 49 respondents. After screening, 46 complete responses were analysed using descriptive statistics, Cronbach’s alpha, correlation, the Friedman test, multiple linear regression and the Kruskal–Wallis test. Average scores for all five measures were close to the neutral mid-point of 3 on a 5-point scale. The likelihood of buying did not differ significantly across the four channels, χ²(3, N = 46) = 5.65, p = .130, although e-mail / SMS / app alerts had the highest average (3.00). The regression model was significant and explained 77.3% of the variation in purchase intention, F(4, 41) = 34.94, p < .001. Offer attractiveness (β = .61) and ad engagement (β = .62) were the strongest predictors. Purchase intention did not differ by income group. Because the sample is small and the predictors overlap strongly, the findings should be treated as exploratory. They suggest that attractive offers and engaging content matter more than the choice of channel alone.

KEYWORDS

digital marketing channels consumer buying behaviour purchase intention ad engagement trust offer attractiveness regression

Cite This Article

Gairuboina Siva Nagaraju, DR.D.Prasanna Kumar, "A COMPARATIVE STUDY OF DIGITAL MARKETING CHANNELS AND THEIR INFLUENCE ON CONSUMER BUYING BEHAVIOUR," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-11, Oct 2026. https://doi.org/10.55041/IJSREM68082

Full Article/Conclusion

This study looked at how engagement, trust, awareness and offers relate to the intention to buy after seeing digital ads, and whether the likelihood of buying differs across four digital channels. Using 46 usable survey responses, it found that respondents were neutral on average, that the four channels did not differ significantly, and that income did not matter. The four attitudes together explained 77% of the variation in purchase intention, and offer attractiveness and ad engagement stood out as the strongest individual predictors. For businesses, the message is to focus on strong offers and engaging content, and to test channels instead of assuming one is best. Because of the small sample and overlapping predictors, these findings should be confirmed with a larger and more varied sample.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation and Practice (7th ed.). Pearson. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. Court, D., Elzinga, D., Mulder, S., & Vetvik, O. J. (2009). The consumer decision journey. McKinsey Quarterly, June. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307–319. Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–35. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., et al. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701.

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Publication Date

10/19/2026

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