Introduction

Many people are likely familiar with the Salvation Army bell ringers stationed outside of stores during the holiday season, often braving bitter cold temperatures to solicit donations from passersby. This seasonal mainstay is just one example, and perhaps the most iconic, of the fundraising measures that nonprofit organizations extend to raise the funds necessary to continue their philanthropic endeavors.

Donating to nonprofits not only provides individuals with an opportunity to put their money where their passions lie, making such donations also helps nonprofit organizations fund program promotions, facilitate the achievement of program objectives, and extend the reach of these kinds of programs.[1] Nonprofits rely entirely on the goodwill of donors hence the need for fundraising such as that facilitated by bellringers during the holidays; nonprofit employees are likely well aware of this challenge.

Beyond the seasonal fixture of holiday bellringing, nonprofit organizations have a host of techniques they can implement to secure funding during the remainder of the year; leveraging quantitative data to assess current and upcoming needs is one way to do so. According to one organization designed to support nonprofits, quantitative data refers to when “data [use] numbers to describe something”.[2] In other words, quantitative data provide numbers that analysts can use to tell a story about what is happening within a nonprofit organization. Given the crucial role that quantitative data play in raising needed funds for nonprofits,[3] below we discuss the role that quantitative data can play in helping organizations to maximize donations and donor opportunities. Specifically, we will explore how both data collection and data analysis may look within this context.

How to Collect Donor Data

Before data collection can effectively occur, organizations must first proactively identify desired data points to be collected. Recommended data points for identifying donor opportunities include information such as contact information, history of engagement, employer and type of job, net worth, etc.[4] While unlikely that organizations will be able to obtain each of these data points for each (potential) donor, getting as much information as possible will still facilitate donor opportunities; the more nonprofits know about a specific donor, the better they will be able to tailor their fundraising efforts to them.

After identifying which data points are paramount, nonprofits can choose from a variety of data collection methods—ranging from traditional to contemporary—to start acquiring potential donor information. Along with traditional methods such as mail and phone calls, nonprofits now have the ability to cast a much wider social net to connect with prospective supporters through the advent of social media, phone/text banking, and the like. Social media also provides a straightforward way to reach out to other organizations; collaborations can amplify the messages of both nonprofits involved and multiply the number of content views. Thanks to social media, nonprofit organizations can promote their cause(s), mobilize on a grassroots level, and garner donations much more efficiently than nonprofits of the past.

Nonprofits must also keep their ultimate goal(s) in mind going into data collection. According to, the Associate Vice President of Marketing at Big Sea, “Data collection, understanding, and implementation is vital when creating effective marketing strategies to support your organization’s goals. The more you understand the data, the more you understand your target audience.”[5]

Of course, before and during data collection nonprofit organizations must ensure high quality data by prioritizing accuracy, comprehensiveness, consistency, integrity, timeliness and reliability.[6] One consulting team, Forvis Mazars, names 4 specific best practices that can help organizations maximize the quality of the data they are collecting:[7]  Using ethical methodology, giving donors control of their involvement (if any), building donor profiles through your interactions with them, and keeping their data both organized and integrated.

Best Practices in Donor Data Analysis

The identification of these desired data points thus facilitates what is known as donor segmentation; donor segmentation refers to the strategies that nonprofits use to “target their fundraising efforts, share relevant content, and deepen relationships with the right audiences in the right ways at the right times.”[8] The goal of donor segmentation is creating a personalized experience for each person in hopes of motivating them to make a donation (or ongoing donations).[9] Donor segmentation also serves to reduce the rate of donor attrition, increase the optimization of resource allocation, and increase the return on investment of nonprofit outreach efforts.[10]

Prospect research is another quantitative method used to identify potential donor opportunities. One thing that prospect research is not is wealth screening: wealth screening is assessing the giving power (e.g., net worth) of potential donors whereas prospect research refers to assessing many different facets of a prospective donor.[11] Prospect researchers, more specifically, investigate both affinity (warmth) and capacity (wealth) markers. Ideal prospects both feel passionately about an organization’s cause and have the means to generously support this cause. Thus, prospect researchers also benefit from assessing donors’ respective giving histories or “RFM”: the recency of any past donations, the frequency of donations, and how much money they tend to give when donating.[12]

The final kind of donor data analysis that we will discuss is referred to as donor analytics. The donor analytic process consists of systematically “collecting, processing, and interpreting various types of donor data…[which]…helps nonprofits gain insights into donor behaviors, preferences, and engagement pattern.”[13] Performing donor analytics allows nonprofits to more effectively leverage “fundraising efforts, improve donor retention rates, and ultimately make more impact.”[14] Donor analytics consist of four different types: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics;[15] each serves a distinct and important purpose for nonprofit organizations. To learn more about these analytics, take a look our resources.

Conclusion

The integration of data into nonprofit fundraising strategies is more than a trend; it’s a necessity for sustaining and expanding an organization’s impact. As the fundraising environment becomes increasingly competitive, nonprofits must leverage data to understand and respond to donor behaviors and preferences. This data-driven approach enables organizations to go beyond traditional methods, fostering more personalized and effective donor engagement.

The key implication for nonprofits is that data plays a crucial role in shaping successful fundraising strategies. By embracing a data-centric approach, organizations can better understand their supporters, identify emerging trends, and adapt to the ever-changing dynamics of donor behavior. This proactive stance ensures that nonprofits are not only reaching the right people but doing so in a way that resonates with their specific interests and needs.

For those working in the nonprofit sector, the actionable takeaway is clear: integrating data into your decision-making process is essential. Regularly collecting, analyzing, and applying data helps refine strategies, target efforts more precisely, and build stronger relationships with donors. As one nonprofit-supporting data organization aptly puts it, “Nonprofits must compete for time, attention, and money just like any other entity. That means speaking to the right people, at the right time…[in the right way]…while showing them the impact of your organization. Data makes all of this possible.”[16]

In summary, prioritizing data-driven insights empowers nonprofits to optimize their fundraising efforts, connect more deeply with donors, and achieve greater impact in the communities they serve. This approach is vital for ensuring long-term sustainability and success in today’s competitive philanthropic environment.

Take Away

Integrating data into nonprofit fundraising enhances donor engagement and sustains impact. Using quantitative methods, nonprofits can identify opportunities, personalize outreach, and improve retention. Data-driven insights, such as donor segmentation and analytics, help target the right individuals effectively. In a competitive landscape, a data-centric approach strengthens relationships and ensures long-term success.

[1] Unity Parenting & Counseling, Inc. Top 10 Reasons to Donate to Nonprofits. https://unityparenting.org/top-10-reasons-to-nonprofits/#:~:text=Nonprofit%20organizations%20depend%20on%20donations,programs%20are%20stabilized%20or%20expanded.

[2] Iger, J. 4 Easy Ways Your Nonprofit Can Illustrate Impact With Data. Global Giving. https://www.globalgiving.org/learn/nonprofit-data-impact

[3] Jarvis, A. The 5 Principles of Using Data to Drive Nonprofit Fundraising. Elevation. https://www.elevationweb.org/blog/the-5-principles-of-using-data-to-drive-nonprofit-fundraising/

[4] Classy. Collect These 8 Pieces of Donor Data to Fuel Fundraising. https://www.classy.org/blog/donor-information-for-nonprofits/

[5] Alvestad, L. 4 Types of Data Your Nonprofit Should Collect. Big Sea. https://bigsea.co/ideas/nonprofit-data-collection/#4-types-of-data-your-nonprofit-should-collect

[6] Prater, D. Counting What Counts – Nonprofit Data Collection Best Practices. https://www.forvismazars.us/forsights/2023/11/counting-what-counts-nonprofit-data-collection-best-practices

[7] Prater, D. Counting What Counts – Nonprofit Data Collection Best Practices. https://www.forvismazars.us/forsights/2023/11/counting-what-counts-nonprofit-data-collection-best-practices

[8] Bishop, K. How to Conduct Data-Driven Donor Segmentation. Classy. https://www.classy.org/blog/how-to-create-data-driven-donor-segments/

[9] Bishop, K. How to Conduct Data-Driven Donor Segmentation. Classy. https://www.classy.org/blog/how-to-create-data-driven-donor-segments/

[10] Bishop, K. How to Conduct Data-Driven Donor Segmentation. Classy. https://www.classy.org/blog/how-to-create-data-driven-donor-segments/

[11] DonorSearch. 16+ Prospect Research Tools To Find More Donors For Your Org. https://www.donorsearch.net/resources/prospect-research-tools/

[12] Weinger, A. The Importance of Donor Data and How to Use It Effectively. Candid. https://philanthropynewsdigest.org/features/the-sustainable-nonprofit/the-importance-of-donor-data-and-how-to-use-it-effectively

[13] Guterman, D. Donor Analytics for Nonprofits: Your Ultimate Guide. Funraise.  https://www.funraise.org/blog/donor-analytics-for-nonprofits-your-ultimate-guide#:~:text=Donor%20analytics%20refers%20to%20the,%2C%20preferences%2C%20and%20engagement%20patterns.

[14] Guterman, D. Donor Analytics for Nonprofits: Your Ultimate Guide. Funraise. https://www.funraise.org/blog/donor-analytics-for-nonprofits-your-ultimate-guide#:~:text=Donor%20analytics%20refers%20to%20the,%2C%20preferences%2C%20and%20engagement%20patterns.

[15] Guterman, D. Donor Analytics for Nonprofits: Your Ultimate Guide. Funraise. https://www.funraise.org/blog/donor-analytics-for-nonprofits-your-ultimate-guide#:~:text=Donor%20analytics%20refers%20to%20the,%2C%20preferences%2C%20and%20engagement%20patterns.

[16] Alvestad, L. 4 Types of Data Your Nonprofit Should Collect. big sea. https://bigsea.co/ideas/nonprofit-data-collection/