Caravan Insurance collected a set of 5000 records for their customers (dataset can be downloaded from this link). The dataset is composed of 85 attributes, as well as an extra label stating whether a customer purchased their mobile home policies insurance policies or not. In this technical report we try to infer a classification model based on this data, so Caravan can tailor their email campaign to contact customers who are most likely to purchase this insurance policy. Artificial Neural Networks (MLP/Weka) and Dicision Trees (J48/Weka) were used. I wrote this report as part of my MSc. degree in data mining program in the University of East Anglia.