How Data Intelligence Transforms Planned Giving Programs
Mary Q. Prospect is a long-time donor to XYZ University. After graduating from XYZ 35 years ago, she enjoyed a [...]
Fundraising for Education: Key Trends Shaping K–12 and Higher Ed
The Blackbaud Institute surveyed higher education and K–12 professionals twice in 2025 to gain insight into their fundraising performance, enrollment [...]
3 Ways AI is Making Wealth Screening More Effective
The nonprofit sector is embracing artificial intelligence. In fact, more than 80% of respondents in a recent report from Blackbaud [...]
Social Impact Experts Share Best Practices for Building an Innovation Culture
Our current environment is being transformed by the rapid advancement of data, technology, and artificial intelligence. As nonprofits and educational [...]
Enterprise Fundraising Organizations Are Gaining a Competitive Edge with AI and Blackbaud CRM
The most successful fundraising operations don’t view AI as an opportunity for the future; they view it as a force [...]
Using Predictive Analytics to Identify At-Risk Donors and Prevent Attrition
Donor retention is generally more cost-effective than acquiring new supporters, but it remains a continuous challenge across sectors. According to [...]
From Stock Picks to School Budgets: My Deep Dive into Educational Finance
I’ll be honest—I’ve always been a bit of a finance nerd. While other people were checking social media over their [...]
How to Use Data to Improve Prospect Identification
I have always found one of the most exciting things about the nonprofit sector to be its diversity. Nonprofits encompass [...]
Smarter Planned Giving Strategies: Using Data and Stewardship to Build Legacy
Planned giving is gaining renewed attention among nonprofit fundraising professionals. If you’re focused on long-term sustainability, you’re likely asking: how [...]
Nonprofits and the Power of Impact: Tracking Success in a Changing World
Ever notice how the world seems to speed up every time you turn around? Nonprofit work feels a bit like [...]
