Direct marketing is a form of communicating an offer, where organizations communicate directly to a pre selected customer and supply a method for a direct response. Among practitioners, it is also known as direct response marketing.This marketing technique is particularly prevalent in the telecommunication sector where direct calling is often among the most relevant methods of converting customers.
The given business problem gives a dataset containing various parameters of instances of this methodology which can be used to predict if an existing customer will subscribe to a data pack or not.
The objective of this study is to implement a statistical model to give the most accurate prediction validated on the hold out set.
We carried out data analysis using python and R and built a random forest classifier to predict customer behavior
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