Research & Strategy for the Social Economy
The Financial Forest
Analysis of 1,200+ organizations across ten U.S. markets reveals seven financial archetypes, proving that sustainability follows different rules for different business models.
What The Data Reveals
Conventional nonprofit wisdom doesn't hold up to scrutiny
Revenue diversification shows minimal correlation with organizational success. Revenue stability, not variety, predicts health.
Measured against standard funder criteria, three in four nonprofits fall short of thriving — but what drives success varies by archetype.
Distinct patterns emerged when organizations were grouped by financial characteristics rather than mission.
"Diversify your revenue." "Keep 3-6 months reserves." "Overhead under 15%." These mantras get repeated in boardrooms, but nobody was checking whether they could predict organizational success.
The Seven Archetypes
Financial health follows different rules for different business models
When grouped by financial characteristics rather than mission, seven distinct patterns emerge. Each archetype faces different risks, operates under different physics, and requires different evaluation criteria.
Services
Research-backed strategy for the social economy
For Nonprofits
For Nonprofit Leaders
From the Financial Health Brief to the Heartwood Advisory, services are structured around what your archetype actually needs — not generic sector advice.
See nonprofit services →For Funders
For Funders & Foundations
Portfolio health analysis, ecosystem profiling, and sponsored community orientations. Built for community foundations and place-based funders who want to understand their sector with precision.
See funder services →Research Partners
Collaboration
Bringing the framework to new markets, co-publishing ecosystem profiles, or extending the dataset. If your work intersects with nonprofit financial health research, let's talk.
Inquire about partnership →Analyzed
Studied
Per Organization
Leadership
Research grounded in operational reality
This analysis combines MBA-level financial rigor with over a decade of nonprofit leadership experience, including managing the full pilot program life cycle, analytics, operations, outcomes measurement, and senior leadership.
The methodology employs k-means clustering and statistical analysis while maintaining accessibility for nonprofit practitioners and funders alike.
About the research →