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July 2, 2021International Journal of Market Research466 citations

Artificial intelligence in marketing: A systematic literature review

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SCSrikrishna ChintalapatiSPShivendra Kumar Pandey

Key Points

  • This research examines the impact of artificial intelligence in marketing, categorizing various functions and applications.
  • Conducted a systematic literature review of 57 publications on AI in marketing.
  • Categorized marketing into five functional themes and 19 sub-functional themes.
  • Identified and analyzed 170 use cases of AI in marketing from existing literature.
  • AI significantly enhances marketing outcomes and user experiences.
  • The review categorizes key themes in AI marketing, indicating broad applicability.
  • Proposes a future research agenda for ongoing AI integration in marketing.

Abstract

The digital transformation fostered by the increasing leverage of artificial intelligence (AI) has been a critical influencing factor unleashing the next wave of enterprise business disruption. Marketing is one of the business streams witnessing this transformation on a very intense scale. Contemporary marketing has begun to experiment with modern, cutting-edge technologies, such as AI, deploying them in mainstream operations to ensure accelerated success. This article explores the use of AI in marketing as an emergent stream of research. Based on inferences from earlier studies, the study categorizes marketing into five distinct functional themes—integrated digital marketing, content marketing, experiential marketing, marketing operations, and market research—and 19 sub-functional themes (activity levers). Across the chosen themes and sub-themes, the study further dovetails into and identifies 170 featured use cases of the extant literature, where AI is leveraged by marketing in delivering superior quality outcomes and experiences. By way of a systematic literature review (SLR), the article evaluates 57 qualifying publications in the context of AI-powered marketing and qualitatively and quantitatively ranks them based on their coverage, impact, relevance, and contributed guidance, and elucidates the findings across various sectors, research contexts, and scenarios. The study discusses the practitioner and academic research implications and proposes a future research agenda to study the continuous transformation fostered by accelerated adoption of AI across the marketing landscape.

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Cite This Study

Chintalapati et al. (2021) studied this question.

synapsesocial.com/papers/69dd5f3b095593a74899b395https://doi.org/10.1177/14707853211018428
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