What your donors want!
Donor segmentation using machine learning - a cooperation with Plan International
What our collaboration with Plan in Sweden is about
As BearingPoint in Sweden, we have collaborated with Plan Sweden since 2016. Our main collaboration topic: building data-driven models and developing new ways of working to release the potential of Plan’s vast amount of data for the better – to improve donor management and the quality of donor interactions. In previous projects with Plan Sweden, we have, for example, developed models to inform so-called churn prevention strategy to increase donor loyalty. We also designed donor journeys, created a new omnichannel strategy to address donors’ needs more individually, and built payment propensity models to delineate donation estimates. My name is Oliver Flinck and I will share some insights into a recent project with Plan Sweden to better understand donors in the following.
Let's dive into the recent project with Plan!
We invite you to browse through the elements from challenge addressed over chosen approach to tips around effective segmentation analysis.
The framework we applied: Value Driven Design Framework by BearingPoint
We have based our project approach from a given framework we are working with at BearingPoint. The framework provides guiding principles defining a well-structured data-based approach to a challenge!
About the author
Meet Oliver Flinck
Oliver is a Senior Consultant and part of BearingPoint's Swedish Data & Analytics team.
That was some insight into our cooperation with Plan International in Sweden.
Explore more examples of pro bono collaboration in our storybook. And if you are interested in better understanding how we enabled donor segmentation based on machine learning tools: Join our D-Cademy and Oliver's webinar at the end of September!