Donor churn prediction with machine learning

Donor churn prediction with machine learning

Keep donors motivated to continue donating with a predictive tool built on machine learning



About this session

In this session, we will learn how simple but sophisticated data driven methods can support and enhance a holistic fundraising process.

We will cover real world examples of a data science project in NGOs, looking at a donor churn prediction using machine learning method, as well as looking in-depth at what data is required for data science and how data quality is essential for a successful for data-driven predictions.

We’ll also give you an overview of how you can best be prepared for future data science projects, learn about a typical data science lifecycle and how to best implement data science in your fundraising campaigns. 


Aimed at

  • Fundraising Managers
  • Data Specialists (new to machine learning)
  • Digital Project Managers
  • User Experience Specialists
  • Marketing and Analytics Specialists


Learning outcomes

  • Simple and sophisticated methods to create value from data 
  • An intuitive understanding of a machine learning method (decision tree)  
  • The data science lifecycle 




Eva Hieninger (Germany)
Partner & Managing Director, getunik
Daniel Barco (Switzerland)
Junior Data Scientist, getunik