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Article . 2025
License: CC BY SA
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY SA
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY SA
Data sources: Datacite
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Hyper-Personalization in Mobile Marketing: A Conceptual Analysis and Case Study of the Nike SNKRS App

Authors: Sunday O. Chibueze & David Solomon Tam;

Hyper-Personalization in Mobile Marketing: A Conceptual Analysis and Case Study of the Nike SNKRS App

Abstract

In an age of digital saturation and mobile-first consumer behavior, traditional mass marketing is increasingly ineffective. Hyper-personalization, a data-driven approach that uses real-time behavioral insights, artificial intelligence, and contextual targeting, has emerged as a key strategy for fostering consumer engagement in mobile environments. This conceptual paper explores the strategic role of hyper-personalization in mobile marketing, focusing on its impact on consumer-brand interaction. Grounded in Customer Experience Theory, Uses and Gratifications Theory, and Relationship Marketing Theory, the study presents a multidimensional framework linking hyper-personalization to cognitive, emotional, and behavioral engagement. The framework is illustrated through an in-depth case analysis of Nike’s SNKRS app, which exemplifies how mobile-based personalization fosters relevance, emotional connection, and brand loyalty. The paper offers theoretical contributions by integrating engagement pathways with personalization mechanisms, and practical insights for marketers seeking to build adaptive, experience-rich digital ecosystems. Finally, it highlights the need for localized personalization strategies in under-researched markets like Africa, where mobile penetration is high but strategic personalization remains limited.

Keywords

Hyper-personalization, mobile marketing, consumer engagement, Nike SNKRS, branded apps, integrated marketing communication, digital strategy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average