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Fundraising Applications Through Machine Learning
Introduction
About the course
About me
Exercise: Where are you with analytics?
Course objectives
What is Fundraising Analytics?
The basics
What does analytics mean for the leadership?
Exercise: what have you learned so far?
Application 1: Prospect Identification
Setting objective question
ML algorithms available for this exercise
Clustering process
Exercise: what have you learned so far?
Checklist: Clustering recipe for prospect identification
Application 2: Drivers of Donor Engagement
Setting objective question
ML algorithms available for this exercise
Regression process
Application 3: Finding Major Gift Donors
Setting objective question
ML algorithms available for this exercise
Classification process
DEI in analytics
Best practices of bringing DEI in analytics
Thought exercise
Conclusion
Action steps: what can you do now?
Revisiting objectives
Conclusion and Thank You
Lecture deck
Checklist: Clustering recipe for prospect identification
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