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