The Full Story:
When the annual giving lead joined the foundation, she immediately saw both opportunity in a highly philanthropic community and limits in how donor data was being used.
At the time, annual giving relied on a manual, one-to-one screening approach and had limited visibility into the broader donor base. While effective for major donor management, it didn’t allow the team to act on engagement patterns at scale.
To address this, the foundation implemented DonorSearch AI, predictive modeling, and HIPAA-compliant patient signals to better understand donor behavior across its full audience. For the first time, the team could evaluate capacity, affinity, and engagement trends beyond major donors.
A key insight came from timing. Donors with a hospital or outpatient visit in the prior 60 days showed significantly higher conversion rates, reshaping outreach strategy and messaging.
Using these insights, the team built more intentional, data-informed campaigns, enabling more precise segmentation, timing, and storytelling.
The results came quickly. The Doctor’s Day appeal reached $425,000 in its first month alone compared to approximately $85,000 raised the previous year, and the year-end campaign grew from $1.2M to $3.2M. The team also began identifying new first-time donors and grateful patients making meaningful gifts for the first time.
What emerged was a more connected, responsive fundraising model where data strengthened intuition and annual giving became a stronger driver of long term pipeline growth.