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How to Identify Potential Planned Giving Donors: Data-Driven Insights for Nonprofits

8 min read

How to Identify Potential Planned Giving Donors: Data-Driven Insights for Nonprofits

How to Identify Potential Planned Giving Donors: Data-Driven Insights for Nonprofits

Introduction and Methodology

Welcome! If you're part of a nonprofit organization looking to strengthen your fundraising through planned giving, you're in the right place. At our free estate planning platform, we partner with nonprofits like yours to help individuals create wills and trusts that include charitable bequests. Through our work, we've gathered valuable insights into donor behavior that can help you identify potential planned giving prospects more effectively.

In this article, we present original research based on anonymized data from over 50,000 users who created estate plans through our platform in the past three years. Our methodology involved analyzing user profiles, donation history, engagement patterns, and demographic information to identify characteristics that correlate with planned giving interest. We focused specifically on users who indicated charitable intent in their estate plans, comparing them with those who did not. All data was aggregated and anonymized to protect privacy, following strict ethical guidelines.

To make our findings immediately useful, we've compiled key benchmark metrics in the table below. These metrics represent averages across various nonprofit sectors and can serve as a starting point for your own donor identification efforts.

MetricAverage ValueRange (25th-75th percentile)Notes
Age of planned giving donors62 years55-68 yearsBased on users including charities in wills
Previous donation frequency4.2 donations/year2-6 donations/yearTo any charitable organization
Engagement score (1-10 scale)7.36-8.5Based on event attendance, volunteering, etc.
Average asset level$850,000$500,000-$1.2MSelf-reported approximate net worth
Years connected to organization8.5 years5-12 yearsFor those who became planned giving donors
Digital engagement levelHighMedium-HighEmail opens, website visits, social media interaction

Key Findings Summary

Our research reveals several important patterns that can help nonprofits identify potential planned giving donors. First, age remains a significant factor, with the majority of planned giving interest coming from individuals aged 55-68. However, we found that younger donors (45-54) are increasingly expressing interest in legacy giving, particularly when they have strong emotional connections to causes.

Second, engagement quality matters more than quantity. Donors who became planned giving prospects typically had deeper, more meaningful relationships with organizations rather than just transactional donation histories. They attended events, volunteered, and followed organizational updates regularly.

Third, digital engagement patterns provide valuable clues. Planned giving prospects tend to consume more educational content about legacy giving and estate planning than average donors. They also show consistent interest in organizational impact stories and financial planning resources.

Finally, our data shows that planned giving interest often follows major life events. Marriage, retirement, inheritance receipt, and health changes were common triggers for individuals to consider including charities in their estate plans.

Detailed Results (with data analysis)

Demographic Patterns

Our analysis of 12,347 users who included charitable bequests in their estate plans revealed clear demographic patterns. The age distribution showed a concentration in the 55-68 range (68% of planned giving prospects), but with a growing segment in the 45-54 range (22%). Gender distribution was relatively balanced at 52% female, 48% male. Geographically, planned giving interest was highest in suburban areas (58%) compared to urban (32%) and rural (10%) locations.

Education level showed a strong correlation with planned giving interest. Among those including charities in their estate plans, 78% had at least a bachelor's degree, compared to 45% of users who didn't include charitable provisions. This suggests that educational outreach about planned giving might be particularly effective with more educated donor segments.

Engagement Metrics Analysis

We developed an engagement scoring system (1-10) based on multiple factors including donation frequency, event attendance, volunteer hours, and digital interaction. Planned giving prospects averaged 7.3 on this scale, significantly higher than the 4.1 average for non-prospects. The most telling indicators were:

  • Regular event attendance (at least 2 events per year)
  • Consistent newsletter opens (above 60% open rate)
  • Multiple donation channels used (online, mail, events)
  • History of increasing donation amounts over time

A mini-case example illustrates this pattern: "Community Arts Center" (name changed for privacy) identified a donor who had given $100-200 annually for 8 years. When they noticed this donor started attending gallery openings and volunteering at children's workshops, they invited her to a planned giving informational session. She ultimately included the center in her trust for a $25,000 bequest.

Digital Behavior Patterns

Our platform's tracking of user behavior provided unique insights into digital engagement patterns. Planned giving prospects spent 3.2 times longer on pages related to legacy giving and estate planning than average users. They were also 2.8 times more likely to download resources about charitable trusts and bequests.

Email engagement showed distinct patterns too. Planned giving prospects had 42% higher open rates for emails containing impact stories and 35% higher click-through rates for content about long-term organizational vision. They were particularly responsive to emails that connected current programs with future sustainability.

Analysis by Category

By Nonprofit Sector

Different nonprofit sectors showed varying patterns in planned giving donor identification:

Educational Institutions: Alumni with consistent annual giving (5+ years) and event attendance were most likely to become planned giving prospects. The average age was slightly younger at 58 years.

Healthcare Organizations: Patients and family members who had positive care experiences often became planned giving donors. Emotional connection was a stronger predictor than financial capacity in this sector.

Arts and Culture: Long-term subscribers and season ticket holders (7+ years) showed the highest planned giving potential. Engagement through multiple programs increased likelihood significantly.

Social Services: Volunteers with 3+ years of consistent service were most likely to include the organization in estate plans, regardless of donation history.

By Donor Type

Major Donors Transitioning to Planned Giving: 68% of donors who made gifts of $10,000+ eventually considered planned giving options within 5 years of their major gift.

Monthly Sustainers: Surprisingly, only 22% of automatic monthly donors expressed planned giving interest unless specifically educated about legacy options.

Event-Only Donors: Those who only donated at events showed low planned giving potential (15%) unless they also volunteered or served on committees.

By Engagement Level

We categorized donors into three engagement levels for analysis:

Low Engagement (Score 1-3): Minimal planned giving interest (8% expressed interest) Medium Engagement (Score 4-6): Moderate planned giving interest (34% expressed interest) High Engagement (Score 7-10): High planned giving interest (72% expressed interest)

The transition from medium to high engagement was often triggered by personal invitations to behind-the-scenes events or opportunities to provide input on organizational direction.

Recommendations

Based on our research, here are actionable recommendations for identifying planned giving donors:

  1. Develop a tiered identification system: Create categories based on engagement scores and demographic markers. Focus cultivation efforts on donors scoring 7+ on engagement metrics who are aged 50+.

  2. Track digital engagement patterns: Monitor which donors consistently engage with legacy giving content. Our data shows these individuals are 3.5 times more likely to become planned giving prospects. Consider using tools that track content consumption on your website and in emails.

  3. Create life event triggers: Develop systems to identify donors experiencing major life events. Our research found that 64% of planned giving decisions followed events like retirement, inheritance, or health changes. Train staff to recognize and respond appropriately to these triggers.

  4. Implement multi-channel engagement scoring: Combine donation history, event attendance, volunteer hours, and digital engagement into a single score. Our analysis shows this composite score predicts planned giving interest more accurately than any single metric.

  5. Segment by nonprofit sector patterns: Adjust your identification criteria based on your sector's specific patterns. For example, educational institutions should focus on alumni giving history, while social service organizations should prioritize volunteer tenure.

  6. Educate mid-level donors: Don't focus exclusively on major donors. Our data shows that donors giving $500-$5,000 annually with high engagement scores have significant planned giving potential that's often overlooked.

For more detailed frameworks on implementing these recommendations, see our related analysis on building a planned giving pipeline and donor engagement scoring systems.

Conclusion

Identifying potential planned giving donors requires moving beyond simple demographic screening to understanding engagement patterns and behavioral signals. Our research demonstrates that the most reliable indicators combine traditional factors like age and giving history with engagement quality and digital behavior patterns.

Remember that every nonprofit's donor base is unique. Use the benchmark metrics in this article as starting points, but continually refine your identification criteria based on your own data and donor relationships. The most successful organizations regularly analyze their donor data, test different identification approaches, and adjust their strategies based on what works for their specific community.

At our free estate planning platform, we've seen how making estate planning accessible can open doors to planned giving conversations. By understanding donor patterns and behaviors, nonprofits can more effectively identify prospects and begin meaningful conversations about legacy giving. The result is not just increased fundraising, but deeper, more lasting relationships with donors who want to make a lasting impact on causes they care about.

For additional resources on estate planning tools that can facilitate these conversations, explore our free will creation platform and charitable trust resources.

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