About the Webconference
Predictive modeling is a popular way to extrapolate the likelihood of future giving based on a variety of donor characteristics. This on-demand webconference explores use of the "R language" to build a predictive model for annual giving. It includes an explanation of the "R environment," statistical programming, and advanced analytic methods.
We also explore the results from a predictive modeling case study demonstrating the influence of various factors (e.g., affinity, previous giving, age, marital status) on annual giving.