Prospect Insights Pro Now Uses Adaptive Modeling to Improve Predictions

Evan Bullock

We’re happy to share that Prospect Insights Pro—now included for all Raiser’s Edge NXT® customers with access to premium features in the United States—will now leverage AI-powered adaptive modeling to further increase the accuracy of its Giving Likelihood prediction.

Prospect Insights Pro uses dynamic predictive models to generate predictions of likelihood and capacity to give, which drive the prescriptive recommendations users see. To generate predictions, these models use a combination of broadly validated predictors of giving behavior and patterns in donor behavior observed across our master referential dataset.  

Our new adaptive Giving Likelihood model blends the same large-scale patterns in donor behavior with smaller-scale patterns specific to your organization’s donors. It continually evaluates which signals are most predictive and delivers a single, optimized score for your prospects. 

Do I need to take action? 

Nope! This behind-the-scenes enhancement doesn’t change the way you use Prospect Insights Pro. The Giving Likelihood prediction you see when reviewing a prospect will still appear in the same place, but this enhancement to the model will enable it to better deliver the most actionable prediction for your team.  

What’s next for Prospect Insights Pro? 

This enhancement affects the Giving Likelihood prediction in Prospect Insights Pro, but we are actively exploring opportunities to enhance our other models as well. Keep an eye on our Product Update Briefings for the latest on our plans.  

Need a refresher on Prospect Insights Pro? 

Check out the Blackbaud University course for tips and tricks for using Prospect Insights Pro to identify, assign and cultivate your best donor prospects.