Digital Marketing Strategies to Meet Digital Consumers’ Behavior in the New Era: Challenges, Path, and Interventions to Navigate the Technological and Social Turbulence

This paper examines how digital marketing is being reshaped by five interrelated tensions: balancing data privacy and personalization; navigating global–local dynamics (including cultural sensitivities and country-of-origin effects); integrating artificial intelligence without losing human connection; ensuring authentic communication to mitigate reputational risks linked to environmental, social, and governance (ESG) and ethical storytelling; and responding to shifting consumer preferences, particularly among younger generations. We combine a targeted literature review with semistructured interviews of marketing professionals across industries and seniority levels. Findings portray marketers as “tightrope walkers” who negotiate paradoxes that redefine the function. We propose an integrated framework that synthesizes previously fragmented strands into a coherent structure and reconceptualizes these tensions as structuring logics rather than contextual challenges. We also identify the governance conditions that make them workable in practice—trust-based data ecosystems, context-conditioned glocal capabilities, human-in-the-loop AI, and evidence-bearing ESG communication. Managerially, the framework offers a roadmap to balance agility with coherence, data with empathy, and innovation with trust. Limitations stem from the qualitative, practitioner-focused design; future research should incorporate consumer data, quantitative tests, and cross-industry comparisons to assess boundary conditions and generalizability.

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Publication Details

Journal
Economic and business review
Published
2025-12-01
DOI
https://doi.org/10.15458/2335-4216.1364
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital Marketing Strategies to Meet Digital Consumers’ Behavior in the New Era: Challenges, Path, and Interventions to Navigate the Technological and Social Turbulence

Dario Natale Palmucci, Vittoria Magrelli, Christian Di Prima
Economic and business review
AI in Service Interactions
article

Digital Marketing Strategies to Meet Digital Consumers’ Behavior in the New Era: Challenges, Path, and Interventions to Navigate the Technological and Social Turbulence

Dario Natale Palmucci, Vittoria Magrelli, Christian Di Prima
article en

Abstract

This paper examines how digital marketing is being reshaped by five interrelated tensions: balancing data privacy and personalization; navigating global–local dynamics (including cultural sensitivities and country-of-origin effects); integrating artificial intelligence without losing human connection; ensuring authentic communication to mitigate reputational risks linked to environmental, social, and governance (ESG) and ethical storytelling; and responding to shifting consumer preferences, particularly among younger generations. We combine a targeted literature review with semistructured interviews of marketing professionals across industries and seniority levels. Findings portray marketers as “tightrope walkers” who negotiate paradoxes that redefine the function. We propose an integrated framework that synthesizes previously fragmented strands into a coherent structure and reconceptualizes these tensions as structuring logics rather than contextual challenges. We also identify the governance conditions that make them workable in practice—trust-based data ecosystems, context-conditioned glocal capabilities, human-in-the-loop AI, and evidence-bearing ESG communication. Managerially, the framework offers a roadmap to balance agility with coherence, data with empathy, and innovation with trust. Limitations stem from the qualitative, practitioner-focused design; future research should incorporate consumer data, quantitative tests, and cross-industry comparisons to assess boundary conditions and generalizability.

Economic and business reviewVol. 27(4)
European Commission
Openalex Percentile: Top 80%
AI in Service Interactions
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