Propensity modeling in Knime

My question is mostly about "how to" build a propensity model in Knime for marketing purposes. I have a customer data set with purchase history and information of participation in the previous campaigns. Now I'm planning to create a target group for a new campaign. I want to score each customer with a probability of acceptance.

Can I execute the whole process by using just Knime? If so, which nodes should I be using? Are there any ways to increase accuracy by making sure the data that I'm using is organized properly?

Thanks in advance

Please check out the the provided Use Cases in the top menu which are all available together with the workflows hosted on our Public EXAMPLES Server. KNIME provides a huge collections of nodes (>1000) and extensions which can be used to process, analyse and visualized almost any kind of data.