boodle Terms

The process of adding third-party data (gathered together from a bunch of different sources, none directly connected to the prospects) to first-party data (provided from the org) after identity resolution.

The commercial-facing name for boodleAI’s Predictive Engine (aka the awesome machine learning AI that makes boodleAI work.)

A machine learning model used for predictive donor scoring that’s trained using either second party data (data a company collects about its customers and then sells to another company) or third-party data (data gathered from a bunch of different sources, not directly from any one organization.) It can also be a guidon that’s based purely…

A 0 – 100 score that shows how close of a fit a prospect is. It’s important to note that we’re not looking at rank, but similarity. If the training data spits out a fit score of 56, then you want to get a number as close to 56 as possible — a 90 or…

How closely a prospect resembles the ideal prospect model created from the target data set.

Making a predictive model/guidon available within boodleAI for customers to use.

A machine learning model used for predictive donor scoring that’s trained using data an organization has collected about their list.

What we like to say instead of “analysis.”

A type of picture of a confusion matrix (which generates metrics about accuracy, precision, and sensitivity). Technically it’s a histogram, which is an approximate representation of numerical data.

That’s us! We also have a for-profit version called guidonAI, btw.