Cited by 8Ethics and Social Impacts of AIArtificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education

A Vision of the Future: Harnessing Artificial Intelligence for Strategic Social Marketing

Open access
Evans, William Douglas, Bardus, Marco, French, Jeffrey·2024·Businesses

Abstract

Artificial intelligence (AI) is transforming much of society in a short time. Regardless of whether we know it, we interact with AI systems when we seek information online, shop, work, and engage with social media. AI has massive potential to promote human wellbeing but also poses considerable risks, as set out in an open letter signed by leaders in the field, such as Geoffrey Hinton, the “Godfather of AI”. This paper examines how AI can be used as a powerful tool to change pro-social behaviors as part of social marketing programs. We examine opportunities to build on existing efforts to use AI for pro-social behavior changes and the challenges and potential risks that AI may pose. The specific aims of the paper are to explore how AI can be used in social marketing policy, strategy development, and operational delivery. We also explore what this means for future social marketing practice. We present an overview of case studies from the social marketing field and the application of AI in the past, present, and future. We examine the following key question: can these new technologies can be used to promote social good, and if so, how? Through examples from policy, strategy development, operations, and research in social marketing, we examine how AI has been used and successfully applied to improve consumer outcomes and analyze its implications for social marketing. We conclude that AI has substantial promise but also poses some challenges and has potential negative impacts on efforts to promote pro-social behavior changes. Used well, AI may enable social marketers to more rapidly assess how to modify programs of action to ensure maximum efficiency and effectiveness. We suggest future research and programs within this field.

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  • In social marketing, AI can enable more effective behavior-change interventions tailored to each public's cultural particularities.

    “Aplicado al terreno del marketing social, este potencial se traduce en la posibilidad de diseñar intervenciones de cambio de comportamiento más eficaces y ajustadas a las particularidades culturales de cada público (Evans et al., 2024;Beyari & Hashem, 2025).”

    From El Reto del Marketing Social ante la Inteligencia Artificial: un análisis comparado en distintos contextos geográficos y sistemas políticos (2026) · cites this paper as Evans et al., 2024

    Section 2.3 says AI can tailor social-marketing content to audience segments and make it more likely to promote behavioral change. The paper does not specifically say that interventions can be adjusted to each public’s cultural particularities; its examples focus on preferences, lifestyle, and behavior. (LLM, conf=0.84)

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Cited by

Authors
Evans, W. D., Bardus, M., & French, J.
Affiliations
  • George Washington University (US)
  • University of Birmingham (GB)
  • Strategic Social Marketing, Atabara, Lophook, Hampshire GU30 7QW, UK
Corresponding author
Evans, William Douglas
Venue
Businesses
Publisher
MDPI AG
Published
2024-05-31
Volume
4
Issue
2
Pages
196-210
ISSN
2673-7116 (ISSN-L)
OpenAlex
W4399304367
Cited by
8
References
6
Citations by year
2026: 6 · 2025: 2
FWCI
3.33
Type
journal article
Language
en
Open access
Locations
  • Businesses (publishedVersion, cc-by)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Econstor (Econstor) (submittedVersion, cc-by)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
artificial intelligence, social marketing, AI risks, social marketing strategy, program evaluation, consumer outcomes

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