Using Data Analytics To Boost Fundraising Campaigns

Could social media help raise $5.5M in just 24 hours? The The University of Georgia's annual Dawg Day of Giving campaign rallies students, alumni, and supporters to donate in a single day. High stakes, 100+ social posts to manage, and a small team of three strategists covering 400,000+ people. This year, they 5x'd their social-attributed revenue. How? They listened before they posted. Using social intelligence, they tracked real-time conversations across the Georgia Bulldogs community - fan-generated content, emotional alumni moments, trending topics they would've missed otherwise. They turned those insights into content that resonated. Their analytics revealed something counterintuitive: static image carousels were outperforming video. So they stopped pouring resources into video production and doubled down on what was working. Data killed their initial assumptions. And they were able to generate better results with less effort. The outcome: → $5.5M raised in 24 hours → 522% increase in revenue attributed to social → 54% YoY increase in digital giving revenue → 1M+ Instagram views on a single campaign Social isn't just a brand awareness play. When you combine listening with data-driven content, it becomes a revenue engine. What business impact could your organization be driving with social?

AI is only as powerful as the problems it solves. For nonprofits, one of the most fundamental challenges is knowing how much to ask for, and when. Ask too high, and you risk discouraging a gift. Ask too low, and you leave potential impact on the table. That’s why we’ve taken Intelligent Ask Amounts to the next level for GoFundMe Pro partners. Grounded in deep user research and powered by GoFundMe’s AI models, this improved version gives nonprofits the ability to dynamically optimize campaigns for what matters most: one-time revenue, conversions, recurring gifts, or a balanced mix. The ask amounts adapt in real time to donor behavior and campaign goals—helping nonprofits drive more sustainable giving. The best part? These improvements are to a product that has already delivered results. For example: the National Civil Rights Museum used Intelligent Ask Amounts during key giving moments and saw a 62% increase in average gift size on December 31st year-over-year, along with other strong gains. (I’ll link the case study with more details in the comments!) What makes me proud isn’t just the AI, it’s the teamwork behind it. Three product pods, Applied Science, Research, CX, Legal, Marketing, Comms and more all came together to turn a complex fundraising challenge into a solution that’s both powerful and practical. Because at the end of the day, innovation is only meaningful when it helps nonprofits raise more with less friction—so they can focus on their mission. 👉 Learn more here: https://gfme.co/47CvtSc 

My nonprofits in the community - are you planning a donor survey in the next two months? Here are some examples of how you can ensure that the data does not sit silently in your work folders but actually lets it help you take meaningful actions. Example 1: Say your survey question is: "How likely are you to continue donating to our organization in the next year?" ● Data says: If 60% of donors say they are "very likely" to continue donating, but 30% are "somewhat likely" and 10% are "unlikely," this indicates a potential drop-off in donor retention. ● Turning that data into action: Focus retention efforts on the "somewhat likely" group. Create a targeted campaign that re-engages these donors by highlighting recent successes, impact stories, or new initiatives they might care about. Additionally, reach out to the "unlikely" group to understand their concerns and see if any issues can be addressed. Example 2: Say your survey question is: "Which of the following areas do you believe your donation has the most impact?" ● Data says: 50% of respondents say their donation has the most impact on "Education Programs," while only 10% say "Healthcare Initiatives." ● Turning that data into action: Understand the why and promote the success and need for your "Healthcare Initiatives" more prominently, aiming to increase donor awareness and support in this underfunded area. Example 3: Say your survey question is: "What is your primary reason for donating to our organization?" ● Data says: If the top reason to engage is "Alignment with my values" (40%) followed by "Transparency in how funds are used" (35%). ● Turning that data into action: Emphasize your organization's values and transparency in all communications. Regularly update donors on how their funds are being used with clear, detailed reports, and align your messaging with the core values that resonate with your donor base. Example 4: Say your survey question is: "How satisfied are you with the level of communication you receive from our organization?" ● Data says: If 70% of donors are "satisfied", 20% are "neutral," and 10% are "dissatisfied," there's room for improvement in communication. ● Turning that data into action: Understand the "neutral" and "dissatisfied" groups to pinpoint where communication may be lacking. This could involve increasing the frequency of updates, personalizing communications, or providing more opportunities for donor feedback and engagement. Sit with the data you collect. Read the numbers. Read the stories. Read the hopes, barriers, and interests of those humans in your data. The best possibility of a survey is to make the humans in that data feel included and belong by listening and acting on their perspectives. Co-create change with your community in those surveys. #nonprofits #nonprofitleadership #community #inclusion

One year ago, my team set out with a simple but ambitious idea: could a Virtual Engagement Officer engage donors independently and deliver meaningful results? Today, with more than 70,000 donors managed, the answer is yes. The scale of Autonomous Fundraising is remarkable—and among the most compelling reasons is the quantifiable data. With a wide spectrum of use cases and organizations across nonprofit verticals, sizes, geographies, and donor demographics, we can now confidently answer a common question: which donors respond best to Autonomous Fundraising? What strikes me is how the data confirms certain assumptions and challenges others. When the goal is dollars in the door, recency matters more than giving capacity: •Over 88% of the top-dollar donors engaged by a VEO had lapsed no more than one year. •Only 9% had lapsed more than three years. •A current $500 donor is often a better bet than a $1,000 donor last seen five years ago. As a fundraiser, this isn’t surprising at all. While we all have stories of long-lapsed or first-time donors suddenly surfacing with major gifts, they’re far less statistically likely in both traditional and autonomous fundraising. The best performing portfolios consider both today’s revenue and tomorrow’s prospects, balanced with: •75% current donors with upgrade potential.  •25% recently lapsed donors with strong giving history. That mix consistently surfaces donors ready to graduate into a gift officer’s portfolio. Demographically, donors between ages 50–72 show the highest engagement and strongest giving. Donors who reply, click, and open messages—even modestly—become some of the most loyal over time. Of those who readily engage with the VEO, nearly 50% have given at least once, and more than 25% have made multiple gifts since being assigned to a VEO portfolio. The VEO’s purpose is to strengthen connections that lead to giving, and this data shows it is delivering on that promise. These patterns hold across very different contexts—from organizations with hundreds of thousands of active donors to smaller nonprofits with only a few thousand. More importantly, they provide a framework for designing portfolios aligned to specific goals: immediate revenue, building tomorrow’s pipeline, or re-engaging donors during the window when they’re statistically most likely to return. One year in, the lesson is clear: many donors thrive in Autonomous Fundraising portfolios, and now we know who they are. The bigger opportunity is what comes next. With 97.5% of donors traditionally unmanaged, this framework gives us a way to reach them with the attention they deserve—and a foundation for exploring how strategies evolve, how donor perception shifts, and how growth carries forward into year two.

You spent $15,000 to acquire 100 new donors who gave an average of $75 each. Your 'successful' campaign lost $7,500. Here's the math your board presentation didn't include: Campaign cost: $15,000 New donor revenue: $7,500 Year one result: -$7,500 But acquisition is an investment, right? Let's look at year two. With your 45% retention rate, 55 donors won't give again. The remaining 45 donors need to average $167 each just to break even on your two-year investment. Now consider this alternative: Your database contains 200 lapsed donors who previously gave $200 annually. A $3,000 reactivation campaign targeting these former supporters could realistically bring back 40 donors at their historical giving levels. That's $8,000 in year one revenue from a $3,000 investment - a $5,000 profit instead of a $7,500 loss. The insight isn't that donor acquisition is bad. It's that donor acquisition without profitability analysis is expensive guesswork. Your most profitable growth strategy might not be finding new donors. It might be reconnecting with the ones who already know and trust your mission. The question isn't whether you can afford to invest in donor acquisition. It's whether you can afford not to measure whether that investment actually pays off. Because in fundraising, the most successful campaigns aren't always the ones that acquire the most donors. They're the ones that generate the most profit.

AI is eating the world… but nonprofits are still serving sandwiches. While startups sprint ahead with AI, most nonprofits are stuck debating if ChatGPT is “ethical.” AI is NOT optional. It’s the single biggest force multiplier in history. Yet, most nonprofits are: Drowning in admin work Burning out on low-impact tasks Struggling with donor engagement Meanwhile, AI-driven orgs are: Automating back-office work Personalizing donor outreach Running impact programs with 10X efficiency Let’s talk about what nobody tells nonprofits about AI (with real evidence). 1. AI can 10X donor engagement. Most nonprofits still send generic mass emails. AI changes that. Harvard research shows personalized donor messaging increases retention by 80%. How? AI tools like Rasa and Drift tailor responses in real time. ChatGPT-style assistants craft hyper-personalized donation asks. AI sentiment analysis ensures every message hits the right emotional tone. Nonprofits using AI in fundraising see a 44% increase in donor conversion. 2. AI slashes admin work (so teams can focus on impact). Nonprofits waste 40% of their time on admin. AI eliminates that. AI automation can: Process tax receipts Automate grant applications Manage volunteer scheduling Example? GiveDirectly uses AI to verify beneficiaries, cutting admin costs by 70%. 3. AI predicts & prevents crises. Most nonprofits react after disasters strike. AI-driven analytics change that. Example? Red Cross uses AI to predict hurricanes and deploy aid faster. AI processes satellite data, social media, and weather reports. Early warnings improve response times by 50%. More lives saved, less money wasted. 4. AI makes small teams operate like big ones. Think AI is only for giant NGOs? Think again. Mama Hope used AI chatbots to handle donor FAQs, freeing 30% of staff time. Charity: Water automates donor follow-ups to boost retention. Team Rubicon uses AI logistics to deploy volunteers faster than FEMA. AI levels the playing field. 5. AI doesn’t replace humans, it amplifies them. Biggest fear? “AI will take our jobs.” Reality? AI eliminates low-impact tasks so teams can focus on real mission work. AI writes reports—humans build relationships. AI analyzes data—humans make decisions. AI sends emails—humans inspire action. The question isn’t “Will AI replace us?” The question is “How fast will we fall behind if we ignore it?” Nonprofits that adopt AI now will dominate the next decade. The biggest threat to nonprofits isn’t funding, it’s irrelevance. Want to get started? Pick ONE thing to automate this month: AI-powered donor messaging? (Try ChatGPT or Jasper) AI-driven grant writing? (Check out Grantable) AI for impact measurement? (Look into DataRobot) The nonprofits that embrace AI will scale 10X. The ones that don’t? They’ll keep serving sandwiches. With purpose and impact, Mario

AI isn’t the enemy of donor relationships. It’s the secret weapon that helps you build them—at scale. After 30 years in major & planned giving, I’ve seen the landscape shift. Today, AI is the edge that lets small teams do big things. Here’s how: → Find Hidden Prospects Predictive AI analyzes giving history, wealth, and engagement to surface your best new major gift leads—fast. → Personalize Stewardship AI segments donors and automates touchpoints, so every supporter feels seen (even with a lean team). → Know When to Move Next-best-action tools use real-time data to tell you when a donor is ready for the next step—no more guesswork. → Create Custom Communications Generative AI drafts proposals, thank-yous, and reports. You add the human touch. Real-world wins: → Feeding America used AI to exceed fundraising goals by uncovering new major donors. → PETA saw a 40% lift in campaign response by personalizing outreach with AI. How to get started: → Clean up your data → Pilot predictive prospecting → Automate key stewardship moments → Train your team on AI basics → Track, learn, and refine TL;DR: AI won’t replace fundraisers. It’ll help you do what you do best—build trust and inspire transformational gifts. What’s working for you? Where do you see the biggest opportunities—or roadblocks—with AI in major and planned giving?

“Yitzi, we have a crisis! We have 80 fewer fundraisers than last year. Our campaign is in 2 weeks. How will we reach our $250k goal?” This Charity CEO wasn’t wrong, on the surface it looked bad. Last year they had 280 fundraisers for their crowdfunding campaign. This year, only 200 returned. They lost nearly 30% of their fundraisers. I told him to look up last year’s campaign data and sort the fundraisers by how much they actually raised. It turned out those 80 missing fundraisers had only raised an average of $250. They only raised a combined $20,000 which represented just 8% of their total goal, not 30%. So I told this Charity CEO: “You’re focusing on the wrong problem.  You don’t have an 80-fundraiser problem. You have a $20,000 gap. Forget headcount. Instead, focus on quality. Find 4-10 people who care deeply about your charity and can each raise $2,000-$5,000.” That shift in focus changed everything and the Charity CEO left the phone call feeling clear and confident and ready to find those 4-10 passionate fundraisers. And yes - they hit their $250,000 goal on the Charity Extra platform. Too often, charities think more fundraisers means more money and worry that they don't have enough fundraisers. But in reality, it’s about having the right fundraisers. Quality fundraisers will always beat quantity. So if you’re a Charity CEO that has a fundraising issue, start with your data. The numbers don’t just tell a story, they show you exactly where to focus.