In this special episode of the Higher Ed Pulse podcast series, recorded live at the American Marketing Association (AMA) conference, Mallory Willsea speaks with Dan Giroux, AVP of Advancement Communications & Stewardship at Drexel University. With a focus on personalized engagement, operational efficiency, and AI-powered predictive analytics, Dan shares insights on leveraging technology to enhance advancement efforts and build meaningful relationships with donors.
In this special episode of the Higher Ed Pulse podcast series, recorded live at the American Marketing Association (AMA) conference, Mallory Willsea speaks with Dan Giroux, AVP of Advancement Communications & Stewardship at Drexel University. With a focus on personalized engagement, operational efficiency, and AI-powered predictive analytics, Dan shares insights on leveraging technology to enhance advancement efforts and build meaningful relationships with donors.
Why Does AI Matter in Advancement?
The podcast opens with Dan explaining the importance of AI in advancement efforts, especially as these teams face increasing demands and limited resources. AI provides ways to automate tasks, personalize engagement, and support decision-making—all critical in the alumni and donor relations space. By using AI tools, advancement teams can streamline workflows and communicate more effectively with constituents, enhancing overall efficiency without adding headcount. This is especially useful for content creation, such as personalized donor thank-yous, targeted emails, and solicitations, which often require a consistent tone of voice and branding.
Addressing Resource Constraints with AI
Mallory and Dan discuss a significant challenge in advancement: open positions and budget constraints. Dan notes that Drexel University’s advancement team has faced unfilled positions for two years. For teams stretched thin, AI serves as a valuable tool to tackle basic but essential tasks, like generating first drafts of communications or tailoring messages to different donor levels. This capability not only relieves pressure on understaffed teams but also ensures a more personalized experience for constituents. AI allows smaller teams to handle large volumes of content and maintain a cohesive voice, a function once dependent on extensive editorial guidelines.
Current AI Tools in Advancement: Are We There Yet?
Mallory inquires about AI’s integration into existing tech stacks within advancement. Dan explains that while some AI features are starting to appear in niche tools, broader integration into major platforms like Salesforce or Anthology Encompass is still in its early stages. Institutions are beginning to explore AI’s potential, with tools like “AI gift officers” gaining attention, though the landscape is still developing. Without comprehensive institutional support, many professionals are experimenting with AI independently, often without clear guidance. As more universities form task forces to evaluate ethical AI use, these technologies will likely become better integrated into the advancement workflow.
Predictive Modeling and Donor Engagement
The conversation turns to predictive analytics as a promising AI use case in advancement. Dan suggests that AI’s potential for donor engagement lies in analyzing donor history to create targeted outreach and even develop customized offers. By understanding constituent patterns, advancement teams can make strategic decisions about where to invest their time and resources. While true AI-driven predictive modeling in advancement may not yet be fully realized, this approach could transform campaign development and improve ROI by identifying the most promising donor segments.
Preparing for Strategic Shifts in Advancement Marketing
Looking ahead to his AMA session, Dan previews how he plans to address ongoing strategic shifts in advancement marketing. Drawing on his experience at Drexel, he’ll discuss how teams can stay adaptable and evolve even as industry changes continue to accelerate. Attendees can expect insights on managing advancement amidst shifting priorities and learning to position advancement as a strategic university partner. These themes resonate across advancement, university marketing, and college-based roles, making them applicable for a broad audience seeking to elevate their strategies.
The Value of Continuous Learning and Experimentation with AI
Dan closes with a call for professionals to cultivate curiosity and a willingness to learn. He encourages listeners to spend just 15 minutes a day exploring AI tools, which can lead to new ideas and inspire innovative solutions in their work. Regularly testing and experimenting with AI can demystify the technology and enable professionals to discover meaningful ways it can support their advancement efforts. Dan’s advice resonates as a reminder that continuous learning is essential to adapt to new technologies and unlock their full potential.