Couldn’t make the conference or listen to the recording? No need for FOMO! This article brings the conference experience to you!
The 2025 Apra Debates focused on three critical prospect development issues: data access for fundraisers, the problem of too much data, and AI readiness. Debaters weighed data transparency against the need for expert interpretation, and the strategic value of comprehensive data against the risk of "analysis paralysis." While the audience leaned toward compromise on access and adopted an optimistic view of AI, the session underscored a core theme: prospect development professionals must remain strategic, adaptable, and focused on continuous learning to navigate the evolving industry landscape successfully.
Fundraising thrives at the essential intersection of "art" and "science," where data informs strategy and empathy fuels connection. While the science involves using predictive tools, tracking engagement histories, and managing the prospect pipeline, the art is in crafting resonant messages, adapting conversations in real-time, and ensuring every donor feels valued. True success, however, emerges when these two worlds merge: when data insights are guided by empathy and when relationships are strengthened by research. Development professionals, especially those in prospect development, achieve maximum effectiveness by engaging in cross-training and building trust with frontline gift officers, allowing them to transform from behind-the-scenes researchers into holistic "thinking partners" who can anticipate needs, understand donor nuance, and ultimately build a deeper, more successful culture of philanthropy.
In the increasingly competitive world of fundraising, nonprofit professionals are constantly searching for ways to maximize the impact of their efforts. This article from Kyle Curry and McCurdy Williams of Windfall explores the value of using wealth screening data to build a strategic, data-driven fundraising plan to help you engage the right donors at the right time, with the right ask.