Journal of the International Academy for Case Studies (Print ISSN: 1078-4950; Online ISSN: 1532-5822)


Ecommerce: An Efficient Digital Marketing Data Mining Framework to Predict Customer Performance

Author(s): Mansoureh Zare, Hassan Shakeri, Roya Mahmoudi

The connection of people's lives with digital space has created a new and attractive concept in marketing called "digital marketing". Data is one of the most important parts of any organization. The framework of data extraction establishes close relationships with the customer and manages the relationships between organizations. Data mining has become very popular in various digital marketing applications in recent years, and the classification model is an important data mining technique, this model is used to predict customer behavior to enhance digital marketing decision-making processes to retain valuable customers. This article provides an effective framework for exploring and classifying the Na Bayve Bayes classification model

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