The interplay of artificial intelligence, machine learning, and data analytics in digital marketing and promotions: a review and research agenda
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AI technologies allow personalizing messages, automating audience segmentation, and predicting consumer behavior with previously unattainable precision.
“Estas tecnologías permiten personalizar mensajes, automatizar la segmentación de audiencias y anticipar el comportamiento del consumidor con niveles de precisión antes inalcanzables (Basu et al., 2024).”
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 Basu et al., 2024
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- Authors
- Basu, R., Aktar, M. N., & Kumar, S.
- Affiliations
- International Management Institute (IN)
- Corresponding author
- Kumar, Satish
- Venue
- Journal of Marketing Analytics
- Published
- 2024-10-24
- Volume
- 13
- Issue
- 2
- Pages
- 267-287
- ISSN
- 2050-3318 (ISSN-L)
- 2050-3326
- OpenAlex
- W4403670284
- Cited by
- 35
- References
- 87
- Citations by year
- 2026: 15 · 2025: 19 · 2024: 1
- FWCI
- 25.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Marketing Analytics (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- artificial intelligence, machine learning, data analytics, digital marketing, promotion, customer engagement, e-commerce marketing, social media marketing, personalized marketing, artificial intelligence adoption, research agenda
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