How to predict the success of your marketing campaign

In this article I am going to walk you through the process of building, training and evaluating a prediction model for the number of ad impressions delivered in a digital marketing campaign. All the techniques can be analogously applied to other regression problems, especially to predict various campaign performance metrics. The predictions can be used to evaluate future marketing campaigns before launch as well as to determine the best parameters including e.g. You can use your own campaign data or a provided sample data set to code along in Python. Next to all source code I also provide a simple app to predict impressions, clicks and conversions for purchase-based digital marketing campaigns.