Multi-year Donor Upgrade Analysis

This analytic examines how many donors have historically upgraded their annual giving total (25% or more higher than their initial year) and the timeframes before those upgrades happened.

By RaiseTellMarch 18, 20263 min read

Multi-year Donor Upgrade Analysis

How to use the Multi-year Donor Upgrade Analysis analytic

This analysis examines the behavior of multi-year donors who have increased their annual giving by at least 20% compared to their initial year. It utilizes data on donor gifts over fiscal years, segment thresholds for different donor levels, and tracks the time it takes for upgrades to occur. By defining segments such as "Top," "Middle," and "Bottom" based on their first-year contributions, the analysis provides insights into how these groups evolve over time and the characteristics of donors who upgrade their giving.

Key metrics include the percentage of donors who upgrade, the average and median years to upgrade, and the average upgrade percentage. The analysis also looks at whether these upgrades result in a change of segment. These metrics are crucial because they highlight not only the frequency of upgrades but also the potential for donors to shift into higher-giving categories, which can significantly impact your fundraising strategy.

You can leverage this analysis to make informed decisions about donor engagement and cultivation strategies. For instance, understanding how long it typically takes donors to upgrade can help you time your outreach efforts effectively, ensuring you maintain engagement without overwhelming them. Knowing the percentage of donors who switch segments upon upgrading can help you tailor your communications to different donor segments, thereby increasing the likelihood of sustained giving.

To maximize its effectiveness, consider running this analysis annually, ideally after the fiscal year closes, to capture a full year of giving data. This timing allows you to assess the most recent donor behaviors and refine your engagement strategies. The fundraising and development teams should review the findings collaboratively to discuss actionable steps based on donor behavior trends.

You should also consider tracking success metrics such as increases in donor retention rates and growth in contributions from upgraded donors. Monitoring these outcomes will help you evaluate the effectiveness of your engagement strategies and make adjustments as needed. By focusing on multi-year donors and understanding their upgrade patterns, you can foster stronger relationships and encourage higher levels of giving over time.


Analytic ID: QX149

Analytic Name: Multi-year Donor Upgrade Analysis

Focus: 1.7: Tenure & Lifetime Value (LTV) Analysis; 2.4: Upward Segment Migration

Type: Standard Analytic

Segments: All/None specified | Scope: Organization

Standalone analytic — no direct navigation links

Description: This analysis examines the behavior of multi-year donors who have increased their annual giving by at least 20% compared to their initial year . It utilizes data on donor gifts over fiscal years, segment thresholds for different donor levels, and tracks the time it takes for upgrades to occur. You should also consider tracking success metrics such as increases in donor retention rates and growth in contributions from upgraded donors. These metrics are crucial because they highlight not only the frequency of upgrades but also the potential for donors to shift into higher-giving categories, which can significantly impact your fundraising strategy .

Key Question: How successful are we as an organization at getting donors to meaningfully increase their giving over time (at least 25% over their total giving in the first year)?

Action: Look at whether stewardship and communication practices should be revamped to improve on the results shown.

Columns included in this analytic: Initial Segment, Total Multi-Year Donors, Number of Upgraded Donors, Percent Who Upgraded (%), Avg Years to Upgrade, Median Years to Upgrade, Average Upgrade %, Median Upgrade %, % Upgrades Changed Segment, % Upgrades within Same Segment, Avg Giving Years (Segment Changers), Avg Giving Years (Same Segment)