Predicting marketing performance with Machine Learning

It's difficult for companies to judge how a marketing campaign has performed in the past never mind predicting how one will perform in the future. This becomes increasingly more difficult when multiple types of campaigns are ran over the same period, different products are available or unexpected outside factors influence user behaviour. In this project I will attempt, using multiple machine learning models, to judge how marketing campaigns have performed and predict how they will perform in the future. For the modelling I will be using a synthetic dataset containing information on Starbucks members over a month long period. Due to small size of this dataset there are a number of limitations with the data that I will outline later in this post.