Prospect Insights models

Prospect Insights models provide predictive values for the following data models:

• Major giving likelihood

• Target gift range

To view the values for each model for a specific prospect, select a prospect from a list.

Model data sources

Prospect Insights uses an anonymized, aggregated data set of giving behavior enriched with wealth and socioeconomic data from third parties to build its machine learning algorithms. It prioritizes data sets related to an individual. However, if an individual's data isn't available, then household data is used. Finally, if household data isn't available, then an average for the zip code is used.

Prospect Insights applies the machine learning algorithms when processing constituent information. Currently, these data points are not sent to a third party for processing. All data is processed and stored in the appropriate data zone, based on Blackbaud's zoning architecture. The architecture ensures data sovereignty and respects international data regulations.