Fundraisers not using AI should prepare to be left behind
In the realm of fundraising, I've noticed an interesting situation play out when it comes to donor data. Having worked with hundreds of nonprofits over the years, I’ve seen the immense resources, funds and effort they invest in collecting, storing and managing their donor data. From complex CRM migrations to sophisticated data warehousing systems, the dedication is undeniable. Even the painstaking manual entry and coding of data reflects a commitment to gathering crucial insights about their supporter base.?
But despite these efforts, I’ve seen many nonprofits fail to fully capitalize on the data they have and the solutions they’ve built. It’s like having a treasure trove full of insights about their donors and opportunities to drive innovation and fuel growth, but no key to access them.
I believe the key to realizing the full potential of your nonprofit’s donor data is AI.?
Predictive AI technologies, like machine learning models, transform what was once considered a challenge in fundraising — how to extract actionable insights from a vast amount of donor data and turn it into an opportunity to improve fundraising outcomes. Because let’s face it; humans have significant limitations when it comes to crunching large volumes of data and turning it into something meaningful and actionable.
Machine learning models (a type of AI) on the other hand, can effortlessly crunch billions of data points in mere moments, surpassing any human capacity in terms of speed and accuracy. And unlike humans who rely on intuition and experience, machine learning models dig deeper, uncovering intricate connections between data and identifying patterns that may otherwise go unnoticed.?
The predictive prowess of AI is simply unparalleled - it can precisely gauges donor affinity and accurately forecast the likelihood of specific donor actions, empowering fundraisers to shape more effective donor engagement strategies.?
I’m not saying AI will replace fundraisers. It won’t. But fundraisers that use machine learning in their fundraising practices will replace those that don’t. That’s because AI will enhance their ability to make data-driven decisions that improve the donor experience and achieve better fundraising outcomes, while streamlining their processes and improving efficiency.
Leveraging AI in fundraising helps nonprofits make the most of their existing data. The insights about individual donors and their broader supporter base can revolutionize the way they fundraise, streamline their operations and drive a whole new level of impact for their cause.?
But AI in fundraising has evolved beyond just deep data analysis and donor predictions…
Just as AI can unlock the untapped potential of donor data, the emergence of generative AI technologies like ChatGPT provides a new opportunity for fundraisers to unlock their productivity, fuel content creation and improve donor communications.
With limited time and resources, nonprofits often struggle to reach and engage donors on a meaningful level. Human capacity can only stretch so far. New generative AI technologies, on the other hand, enables fundraisers to scale their efforts more efficiently and engage donors in a more personalized way.
Undoubtedly the invention of marketing automation platforms has helped fundraisers send more communications to their donors with greater ease. But these solutions have not necessarily improved the quality of communications. My bug-bear with mass or generic communications is they lack the personal touch that connects with donors on a deeper level. That's why I find the idea of leveraging ChatGPT's capabilities incredibly exciting and why we created the first AI writing tool for nonprofit fundraising use - Dataro’s AI Assist.
Right now, you can provide Large Language Model tools like ChatGPT with specific information about a donor – their interests, age, and background – and witness the magic unfold. ChatGPT can generate a letter or message that not only addresses the donor's preferences but also acknowledges their unique concerns. This level of personalization showcases a genuine understanding of the donor's perspective, fostering a stronger connection between the fundraiser and the donor.
Generative AI tools are key to helping fundraisers personalize donor communications at scale and improving donor engagement. By demonstrating a profound understanding of each donor's individuality, we can significantly enhance their level of engagement and increase response rates. It's an opportunity to make every interaction count and make donors feel valued and heard.
Embrace AI in your fundraising or risk falling behind.
AI in fundraising has transitioned from being a trend, or a choice into an outright necessity. Organizations that overlook integrating AI into their fundraising strategies stand to miss out on the insights and operational efficiencies it brings, making it tougher to manage and engage donors effectively in the future.?
I understand that this technology is feared by some, and there are legitimate concerns - particularly in the emerging space of generative AI. Skeptics are rightfully cautious about losing the human touch and the potential risk of over reliance on machines for crucial tasks.
I believe in striking a balance. AI should be seen as a tool, a robust partner that not only saves time but also enhances our ability to make informed decisions and scale fundraising efforts. It's about harneuniting the strength of both worlds – the efficiency and scalability of AI, complemented by the empathy and strategic touch unique to humans.?
AI is the key to helping nonprofits operate more efficiently and deliver impactful donor engagement that drives long-term sustainability for their cause. And the real magic of fundraising unfolds at the intersection of AI and human expertise.
Custom Software, Ecommerce and Team Augmentation
1 年Tim, thank you for sharing ??
Head of Income Generation at British Trust for Ornithology (BTO)
1 年I'm old school and have crunched my own fair share of spreadsheets to look for trends in supporter data and one of my bug bears was and (increasingly) is the ability of people to use this myriad of snazzy graphs, pie charts, Venn diagrams etc pumped out by one the tech giants, other than to focus on the short term metrics of engagement. I remember back in the noughties, interviewing fundraisers who couldn't work out a response rate because "Raisers Edge does that or us". Will AI empower fundraisers to be better or will fundraisers just do what AI tells them to do because: a) they don't understand how AI came to the conclusion it has (and thus can't challenge it) and/or b) because they can blame it on AI if it goes wrong? I have no doubt that the analysis teams of big UK Charities who have invested millions year on year in growing their supporter databases are learning amazing things through AI, reducing their bloated mailing files and reactivating lapsed supporters, but that doesn't help the community theatre group down the road from me who are going to have to close because of a lack of funds. As with wider society, AI has the potential to further widen the income gap between the biggest charities and the smallest. Mike
Chief Executive Officer at BOSP (Brighter Opportunities for Special People)
1 年Whilst you make some good points Tim, sales strategies in the form of veiled threats such as ‘you’ll be left behind’, if we don’t buy into your product, is such un-welcome language for small charities in an already struggling third sector. Perhaps you could work on the grant makers first and when they start changing their criteria to fund such AI, then this might be the time to talk!
?? Transforming Outdoor Spaces with Expert Landscaping Solutions ?? | Marketing Gal ?????? | Writer at ?? | Girl Mom?? | EX French Horn Player ??
1 年The part where you expressed that using AI as a tool, a robust partner to make informed decisions is exactly what makes the most sense. Balance in all things. AI seen as a partner to help extract the data, analyze, and provide the best possible information can be seen as helping. Organizations that rely on this data not only benefit from the technology, but by having access to AI they can use it to improve their productivity and processes. Great read Tim! Thank you for these insights.
Charity Director
1 年Plenty to agree with here Tim, especially when it comes to proposal writing. But I haven’t yet figured out how AI helps when it comes to personal data. Does Chat GPT include data on individuals, I heard not. How does GDPR come into effect on uploading data to remote locations as the basis of a research tool when it ends up contributing to AI itself and becoming public data? There are probably some challenges to identify and understand how we respect our donors data and their intentions around our cause. It’s going to be complex…!