Building a Predictive Model to Score Planned Gift Donors

Track: Data Analytics

Session Number: 1136
Date: Thu, Aug 9th, 2018
Time: 3:00 PM - 3:30 PM

Description:

Planned gifts make up a large portion of the total giving of an institution and they take forethought and planning from both the donor and a planned giving (PG) team. Predictive models can help identify potential donors making these efforts a more targeted process for a fundraiser.
In this presentation, we showcase one such model of planned giving that is currently being deployed at the University of Texas at Austin. Our goal for this model is to make the process of donor identification, quantification and stewardship more efficient and effective for the PG team. We will share challenges and takeaways and time-permitting, a brief tutorial of the predictive modelling process.
Session Type: PD or DAS Case Study (30 minutes)

Primary Competency: DA:Competency 4: Statistical Techniques and Competencies
Secondary Competency: DA:Competency 5: Visualization/Reporting Techniques and Competencies
Tertiary Competency: DA:Competency 2: Project Management
Intended Audience Level: Level I, Level II
Recommended Prerequisites: None
Learning Objective #1: Attendees will learn about one approach (University of Texas's) to predictive modeling to identify and score potential planned gift donors.
Learning Objective #2: Attendees will learn about the process UT is using to document the modeling process in order to make efforts reliable and reproducible.
Shop Size: All Shop Sizes
Session Type: PD or DAS Case Study (30 minutes)

Primary Competency: DA:Competency 4: Statistical Techniques and Competencies
Secondary Competency: DA:Competency 5: Visualization/Reporting Techniques and Competencies
Tertiary Competency: DA:Competency 2: Project Management
Intended Audience Level: Level I, Level II
Recommended Prerequisites: None
Learning Objective #1: Attendees will learn about one approach (University of Texas's) to predictive modeling to identify and score potential planned gift donors.
Learning Objective #2: Attendees will learn about the process UT is using to document the modeling process in order to make efforts reliable and reproducible.
Shop Size: All Shop Sizes