Brand evangelism in the digital era: The impact of data-driven influencer marketing

In the contemporary digital landscape, influencer marketing combined with advanced data analytics has become essential in fostering brand evangelism and consumer advocacy. This study examines how data-driven influencer marketing strategies influence brand loyalty and advocacy among consumers. Utilizing a mixed-methods research approach, this study integrates quantitative data analysis of consumer interactions with qualitative evaluations of influencer-driven campaigns. The findings reveal that personalized and targeted influencer campaigns significantly enhance consumer engagement, trust, and long-term brand loyalty. Furthermore, the study identifies specific mechanisms through which data analytics optimize influencer selection and content relevance, directly contributing to stronger consumer-brand relationships. Theoretically, this research expands existing frameworks by combining elements from the Theory of Planned Behavior and the Elaboration Likelihood Model, offering deeper insights into influencer marketing effectiveness. Practically, marketers gain valuable strategies for employing data-driven influencer collaborations, leading to more robust consumer engagement and sustained brand evangelism.

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Publication Details

Journal
Journal of Open Innovation Technology Market and Complexity
Published
2025-05-20
DOI
https://doi.org/10.1016/j.joitmc.2025.100552
Citations
4
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
16.81
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article

Brand evangelism in the digital era: The impact of data-driven influencer marketing

Fazla Rabby, Rohit Bansal, Yamijala Suryanarayana Murthy
4 citations
Journal of Open Innovation Technology Market and Complexity
Digital Marketing and Social Media
16.81
article

Brand evangelism in the digital era: The impact of data-driven influencer marketing

Fazla Rabby, Rohit Bansal, Yamijala Suryanarayana Murthy
article en
4 citations

Abstract

In the contemporary digital landscape, influencer marketing combined with advanced data analytics has become essential in fostering brand evangelism and consumer advocacy. This study examines how data-driven influencer marketing strategies influence brand loyalty and advocacy among consumers. Utilizing a mixed-methods research approach, this study integrates quantitative data analysis of consumer interactions with qualitative evaluations of influencer-driven campaigns. The findings reveal that personalized and targeted influencer campaigns significantly enhance consumer engagement, trust, and long-term brand loyalty. Furthermore, the study identifies specific mechanisms through which data analytics optimize influencer selection and content relevance, directly contributing to stronger consumer-brand relationships. Theoretically, this research expands existing frameworks by combining elements from the Theory of Planned Behavior and the Elaboration Likelihood Model, offering deeper insights into influencer marketing effectiveness. Practically, marketers gain valuable strategies for employing data-driven influencer collaborations, leading to more robust consumer engagement and sustained brand evangelism.

Journal of Open Innovation Technology Market and ComplexityVol. 11(2)
Fo Guang Shan (TW), Indian Institute of Management Rohtak (IN)
Openalex Percentile: Top 1%
Digital Marketing and Social Media
16.81
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