Case Study: DonorBureau achieves 10% better model accuracy, faster deployment, and 75% lower TCO with DataRobot

Hitting the Bullseye on Cause Marketing with Predictive Analytics

DonorBureau, a data and analytics firm that helps nonprofits optimize fundraising, was struggling to meet rising predictive‑modeling demands across 900M mail transactions, 140M donations and 40M individuals without a large data‑science team. To scale accurate, timely donor segmentation and targeting, DonorBureau turned to DataRobot and its Managed AI Cloud / Enterprise AI solution (powered by AWS).

DataRobot automated DonorBureau’s modeling pipeline, producing more accurate models faster and far more cheaply: an immediate 10% accuracy gain out of the box, total cost of ownership reduced to about 25% of prior expense (≈75% lower TCO), and model build/test time cut from one–two weeks to one day—helping DonorBureau’s clients lift lifetime value per donor by roughly 25–40%.

DonorBureau

Brian Johnson

VP Product and Operations