File:MarketingMLTaxonomy.png

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General Taxonomy of Machine Learning Use Cases in Marketing

Summary

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Description
English: This taxonomy of Machine Learning use cases in marketing is based on a systematic review of academic and business literature. It includes 11 recurring use cases, organized in 4 homogeneous families which correspond to the fundamentals leverage areas of ML in marketing, namely: shopper fundamentals, consumption experience, decision making, and financial impact.
Italiano: Questa tassonomia dei casi d'uso di Machine Learning (ML) nel Marketing si basa su uno studio sistematico della letteratura accademica e aziendale. Comprende 11 casi d'uso ricorrenti, organizzati in 4 famiglie omogenee che corrispondono alle aree di utilizzo fondamentali del ML nel marketing, vale a dire: esperienza di acquisto, esperienza di consumo, processi decisionali e impatto finanziario.
Date
Source Own work
Author Laibniz

Described in: De Mauro, A., Sestino, A. & Bacconi, A. Machine learning and artificial intelligence use in marketing: a general taxonomy. Ital. J. Mark. (2022). https://doi.org/10.1007/s43039-022-00057-w

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