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A Predictive Model Based on Decision Trees Focused on Digital Marketing Strategies

Abstract:

This research refers to predictive models based on decision trees which are a powerful tool for analysis and decision-making in digital marketing. They offer the ability to predict consumer behavior online and tailor marketing strategies for more effective results. The aim of the study is to use decision trees to identify trends present in resource usage, with a focus on Technology 4.0 in the field of marketing. For this research, a methodology based on a predictive model is developed through decision trees, which allow an improvement in decision-making within Industry 4.0 focused on digital marketing. The results of this predictive model allow the digital marketing industry to predict information and optimize it by employing technological Resources 4.0 to obtain a timely and adequate analysis. In conclusion, it can be said that Industry 4.0 and Technology 4.0 are becoming more prevalent in the field of marketing. In this study, the key concepts will be deepened and concrete examples of how these models are applied in digital marketing strategies will be provided.