Through this literature review, we have explored the various scientific articles that have been exploited by Data Mining techniques in the banking sector and specifically Digital Marketing, namely the prediction of customers interested in a banking product. We have succeeded through a variety of articles in tracking the behavior of some Data Mining algorithms and their uses, using bank data. These techniques have also allowed us to determine the best parameters for each Data Mining method. In this review, we have used the results of different evaluation tools for all the methods used, which has enabled us to easily choose the appropriate prediction model. Several Software have been used as a programming tool to clarify each of the techniques of Data Mining, Therefore, we cannot say that an algorithm is the best since the results differ from one category to another of the data used.
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