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AI, like ChatGPT, may dominate the landscape today, but we mustn't assume it will be the only player tomorrow. 🫢
Future-proofing requires us to focus on building a robust technology infrastructure that can adapt to new tools and trends as they come and go.
Instead of merely using technology to "fish for donors," we should be teaching teams how to leverage these tools effectively. This means empowering them to become adept at navigating and utilizing technology on their own.
By fostering a culture of learning and adaptation, we can prepare organizations to embrace future innovations, ensuring that they remain at the forefront.
Investing in education and resources today will pay off in our ability to thrive tomorrow. 🌱
How can we rethink “future-proofing” in the fundraising space? 🚀
When we talk about future-proofing, it's important to step back from solely focusing on AI and examine the broader landscape of business models. The role of technology—AI included—plays a crucial part in this evolution.
A strong data set built over time is key to ensuring you’re prepared for whatever comes next. It’s not just about adopting the latest technology; it’s about understanding how it fits within your existing framework and enhances the overall mission.
Organizations navigating this journey should prioritize establishing a solid foundation that can evolve with emerging technologies, ensuring that they remain relevant and effective in meeting goals. 🌟
When it comes to donor engagement, let actions speak louder than words. Instead of asking what potential donors are interested in, observe their behaviors. 🕵️♂️
Not just mean how many times they opened an email – things like; when invited to an event do they RSVP right away?
Technology provides the insights needed to personalize interactions at scale, allowing you to cut through digital noise. Investing in these tools now not only pays off in the short term, but also lays the groundwork for future generations.
Don’t miss the chance to plant those critical seeds! 🌾
Setting the right agenda for technology adoption is crucial. Leaders often face a myriad of options, which can be overwhelming. 🤯
Evaluate your timeline: Are you looking for an immediate change or a long-term vision?
This perspective helps guide infrastructure investments and ensures you budget for ongoing maintenance. The goal? Create a system that evolves and meets your needs as they change. 🌱
There are two critical points in a piece of data’s lifecycle: when it’s generated and the first time it’s used.
🌟 Data Generation: The way data is created is nearly as important as the data itself. Some of this data is generated by your organization, some by your constituents, and some by third parties – everything generates data. This data can provide powerful insights for analytics and AI applications.
🌟 First Use: The initial application of data—whether that’s in analytics or within business units like annual giving or executive decision-making—happens as a byproduct of business operations. This stage is where data transforms into actionable insights and drives strategic decisions.
It’s essential to recognize that data management isn’t solely an IT “problem.” Instead, it’s a fundamental aspect of business operations that requires collaboration across various departments.
How can AI transform alumni engagement? 🕵️
AI can transform how institutions engage alumni by capturing behavioral factors like time and attention. In today’s attention economy, understanding and leveraging consumer behavior is what has influence.
Personalized content can drive significant engagement!
Do we have a photo of campus from every decade? Can we provide some value to alumni who graduated in 1980 by bringing that back?
Could we give some value to younger alumni who need career help?
You can certainly be effective at driving engagement and adding value with personalized content, but many organizations still lack the technology to capture and analyze digital behavior effectively. However, investing in AI can help institutions better tap into their audience’s interests and adapt to changing market conditions.
How are some of the most well-resourced advancement programs using AI? How can similar tools be accessible for shoestring operations? 🤖
The opportunity at larger institutions is having the capacity to do something differently, while the opportunity at smaller institutions is the capacity to do something they weren't able to.
AI at a large shop may be used to reprioritize people who would otherwise go unengaged, and AI at a small shop may be used to find those extra opportunities.
For example, In advancement shops where gift officers manage hundreds of contacts, AI can predict which individuals are most likely to answer the phone.
This has helped some organizations to achieve up to a 90% contact rate with a Fundmetric list. That increase in efficiency makes it a whole lot easier to maintain momentum. 🚀
How can institutions use AI to enhance prospect identification? 🔍
When it comes to AI and prospecting, it's not a competition with traditional methods. One clear advantage of AI is its ability to identify patterns that may not be apparent through conventional approaches, and an ROI can be gained fairly quickly by identifying prospects that may have been overlooked.
AI can identify prospects based on specific characteristics, which differs from traditional persona building. By understanding these patterns, AI helps institutions plant the seeds with a diverse range of prospects, ultimately strengthening the donor pipeline.
What is the business case for AI in a period when resources are short?
AI presents a compelling business case to help organizations scale and provides the capacity to increase output efficiency without a corresponding cost increase.
AI has a unique proposition for an immediate return on investment and long-term ROI. A return can be achieved more efficiently than the traditional ways of scaling.
How is your organization integrating AI to address current challenges and drive growth? 🚀
Developing sustainable business models and digital transformation are among the top strategic issues in higher education. 🎓
So let's make the case for AI from the perspective of future-proofing. 💪
As you go through this journey of finding a business case for AI, there are two main options, and they are not mutually exclusive.
1️⃣ Organizations can invest in the technology of the day, and as that changes, you keep investing in those different technologies.
2️⃣ Organizations can invest in their future by having the fundamental data that will allow them to be flexible and pivot more easily to changing markets, when the technology changes, and ensure long-term sustainability and self-sufficiency.
There is a compounding cumulative effect gained by focusing on the fundamentals that BOTH enable AI, and enable organizations to take advantage of tech today, and tech that is coming out next week, but also to protect themselves from the downside of change.
𝐃𝐚𝐭𝐚 𝐢𝐬 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞'𝐬 𝐣𝐨𝐛.
Emily wants an AI model to predict who will likely donate to their spring appeal and by what channel. For her model, she needs data like:
👉 Who received the last direct mail campaign?
👉 Who responded to the last direct mail campaign?
👉 Who RSVP'd to a related upcoming event within the first week of being invited?
👉 Who is interested in related topics?
👉 and more...
Taking a step back, Emily requires data from across the pipeline, which makes data everyone's job! The problem is, most the information Emily needs was not captured or is inaccessible to her in disparate systems.
What data do you need to help you be better at your job? Is the data you capture accessible for your team when they need it?
👇 Not a healthy data posture.🙅
.. this happens as a result of overwhelm. ☹️
The fix for people dealing with overwhelm is having the support that a partnership can provide.
Organizations that invest in making data more accessible to non-technical teams, not only empower those teams but reduce overwhelm and burden on the entire organization. 😌
We talk a lot about technology partnerships and how investing in them helps to build a resilient, future-proof organization.
But how does a successful partnership DO that?
⚙️ Innovation and Co-Creation: Technology partnerships foster innovation through collaboration. Both parties bring unique expertise and perspectives, leading to the co-creation of cutting-edge solutions.
🎯 Strategic Alignment: A technology partner is invested in your success. They understand your business objectives and tailor their solutions to align with your strategic goals, ensuring a better fit and higher impact.
🙌 Enhanced Support and Service: Partners provide dedicated support and are more responsive to your needs. They work closely with you to troubleshoot issues, optimize performance, and ensure seamless integration.
🧠 Shared Knowledge and Resources: In a partnership, there is a free flow of knowledge and resources. This exchange accelerates learning, helps in adopting best practices, and leverages collective strengths.
🤸♀️ Scalability and Flexibility: Technology partners are committed to your growth. They offer scalable solutions that evolve with your business, providing the flexibility to adapt to changing market conditions.
🤝 Trust and Reliability: Trust is the cornerstone of any partnership. With a technology partner, you build a relationship based on reliability, transparency, and mutual respect, leading to long-term success.
How does a partnership differ from a client-vendor relationship? 🤔
While vendor-client relationships fulfill immediate needs, partnerships pave the way for sustained growth and innovation. Embracing a technology partnership can transform your business, driving collaborative success and unlocking new opportunities.
Investing in a partnership meets today’s challenges AND builds a resilient and future-ready organization.
A partnership is collaborative and strategic. Here’s what sets it apart:
✨ Collaborative Focus: Both parties work together towards common goals, sharing risks, resources, and rewards.
✨ Deep Engagement: The interaction goes beyond transactions, involving continuous communication, feedback, and mutual support.
✨ Long-Term Orientation: Partnerships are built for the long term, focusing on sustained growth, innovation, and success.
With AI, optimize your reach by channel.
Prioritize Constituents That:
Answer the phone. ☎️
Respond to direct mail. 📫
Engage with your emails. ✉️
Fundmetric produces a ranked list that prioritizes the most likely to engage by channel.
Does this actually work?
✨ One school increased its phone contact rate to 83% with a Fundmetric predicted list.
✨ Email click rate increased to over 10% when using a Fundmetric predicted list.
✨ Direct mail response using a Fundmetric predicted list increased by 35%.
Personalization is a Competitive Advantage 🏅
Define what people are interested in and make your communication more relevant and engaging for each individual.
How do you start?
✉️ Leverage email to capture constituent interests.
📺 Personalize stewardship videos with advanced data.
📊 Segment your audience based on behavior.
What does this look like in practice?
🚀 One school had 73% of first-time donors become repeat donors after viewing a Fundmetric personalized video.
🚀 In just six months one organization collected over 50K interest data points through existing appeals.
The more data you collect the more personalized you can get.
That's a wrap on CASE Summit 2024! 🙌
Thank you to CASE for having us and thanks to all who stopped by our booth to chat.
CASE Summit 2024 Day 1 finished! ✨
Thanks to everyone who came by our booth to chat, if you missed us stop by tomorrow!
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