As nonprofits have adapted to the digital age, online fundraising has become heavily integrated into most organizations’ strategies. If your team is even somewhat tech-savvy, your nonprofit probably engages with many of its donors and brings in a significant portion of its revenue through virtual channels.
However, the future of nonprofit fundraising lies with artificial intelligence (AI). Although AI is becoming increasingly common in daily life, you may still be wondering about the best ways to incorporate AI tools into your nonprofit’s activities.
If this is where you are, you’ve come to the right place! In this guide, we’ll review four of the most popular use cases for AI in fundraising work, which include:
As
DonorSearch’s guide to AI tools for nonprofits explains, there are two main AI formats that are useful for nonprofits: generative and predictive. Generative AI produces original content in various formats (text, images, video, etc.), while predictive AI uses machine learning to recognize patterns in data and make projections accordingly. The most effective AI fundraising strategies use both types of tools together—let’s dive into how to do just that!
If your nonprofit has solicited major gifts or established a planned giving program, you’ve likely conducted prospect research. This process aims to identify potential donors with a financial capacity, philanthropic history, and affinity for your mission that would make them able and willing to make a significant contribution to your organization.
However, as you dive into prospecting, you may find yourself intimidated by a large volume of data on different prospects. How do you successfully sort through all of this information to determine which donors have the greatest potential to give to your organization?
This is where AI-powered predictive modeling tools come in. These solutions analyze prospects’ wealth and philanthropic information, rate each individual’s likelihood of engaging with your organization based on historical trends, and prioritize your prospect list based on these ratings. This way, you can begin your outreach with the potential major and planned donors you’re most likely to succeed with, saving you time and money with a more
intelligent fundraising strategy.
There is also a nonprofit-specific generative AI functionality, prospect reporting, which can also be useful for gaining deeper insights into prospect research data. Tools with this capability organize and summarize key details about each prospect that you can reference as you develop their individualized outreach strategy.
It’s no secret that multi-channel marketing expands your nonprofit’s reach by creating more touchpoints where audiences can learn about your mission and take action. However, it can be challenging to create the large volume of content needed for this strategy while maintaining a high standard of quality across your website, email marketing, text messaging, social media, and print communications.
Incorporating generative
AI into your marketing strategy can streamline the creation and delivery of all of these messages. For instance, you could:
As you create content with AI, be careful not to lose the personal touch that helps donors connect with your mission. Always review and edit your AI tools’ outputs to ensure they align with your nonprofit’s tone and brand. Additionally, configure the solutions to personalize supporter communications with their names and specific details about their history with your organization whenever possible.
In addition to creating content that generally spreads awareness about your nonprofit’s mission and engagement opportunities, AI solutions can also be instrumental in requesting donations from individual supporters. Your organization may use them to help craft fundraising appeals for various initiatives, such as:
To optimize the donation request process, you should integrate your
generative AI fundraising tools with predictive solutions. Predictive modeling helps ensure you’re asking the right donors for the right contribution amounts at the right time to fund programs and projects that interest them. Then, you can use this information to fill in the gaps in your fundraising appeal created with the help of generative AI.
Your nonprofit’s AI fundraising work isn’t done once a supporter says “Yes!” to your donation request. Both generative and predictive AI are useful in the follow-up process as you express gratitude to your donors and continue cultivating their individual relationships with your organization.
Consider incorporating AI tools into the donor stewardship process in the following ways:
The effective, tailored stewardship strategies that AI tools can help you develop will show your donors that your nonprofit values them as individuals. This can boost donor retention rates and eventually prompt them to upgrade their support.
The sooner your nonprofit gets on board with AI, the more prepared you’ll be for the future. Use the tips above to get started, and adapt your strategies based on your organization’s unique donor base and the responses you receive. Additionally, check that you’re using trusted AI tools to ensure accuracy, fairness, and data integrity as you work.
About the Author
Sarah Tedesco
Sarah Tedesco is the Executive Vice President of
DonorSearch, a prospect research and
wealth screening company that focuses on proven philanthropy. Sarah is responsible for managing the production and customer support department concerning client contract fulfillment, increasing retention rate and customer satisfaction. She collaborates with other team members on a variety of issues including sales, marketing and product development ideas.
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