Systematic review of ai in marketing-based decision-making in financial companies
DOI:
https://doi.org/10.31637/epsir-2026-2636Keywords:
Artificial intelligence, Financial marketing, Decision-making, Generative AI, Systematic review, PRISMA, Customer Lifetime Value, ChatGPT, Marketing automationAbstract
Introduction: The objective of this systematic review was to examine the role of artificial intelligence (AI) in marketing decision-making within financial companies, identifying approaches, applied technologies, impacts, and emerging challenges in the field. Methodology: A qualitative methodology based on the PRISMA 2020 model and the SPICE framework was employed. The search was conducted exclusively in the Scopus and WOS database, covering the period between January 2021 and April 2025. After applying rigorous inclusion and exclusion criteria, seven methodologically sound studies were selected. Results: The analysis revealed five key dimensions: (1) use of AI for customer value (CLV) optimization; (2) digital transformation in financial services; (3) impact of tools such as ChatGPT and NLP on business decisions; (4) ethical and regulatory approaches to AI; and (5) interdisciplinary trends between marketing, AI, and finance. Discussion: Studies agree on the potential of AI to improve the accuracy, personalization, and efficiency of marketing decisions, although they caution about ethical risks, algorithmic biases, and the need for transparency. Conclusion: Artificial intelligence represents a structural transformation in financial marketing management. However, greater methodological standardization, critical evaluation of its real impact, and adaptive regulatory frameworks to guide its ethical and strategic use are required.
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Copyright (c) 2026 Ingrid Alexandra Salazar Delgado, Karina Isabel Bricio Samaniego, José Adrián Valencia Medranda

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