“Wealth intelligence” is the use of prospect data to identify, understand, and engage high-net-worth (HNW) and ultra-high-net-worth (UHNW) clients. David Friedman, founder of Wealth-X and principal of Friedman Ventures, traces the category from its roots in U.S. Census household-income data through three generations of platforms: Wealth Engine’s wealth-scoring models, Wealth-X’s manually compiled individual dossiers, and Windfall’s AI-driven net worth and liquidity modeling. The article explains why household income—still the default targeting metric for luxury brands and most advisory firms—misses the UHNW market, where wealth shows up in K-1s and illiquid assets rather than W-2 income. It also walks through how advisors apply this data to referral prospecting, event segmentation, and meeting preparation, and closes with a side-by-side comparison of Windfall, Wealth-X, and Wealth Engine on net worth methodology, CRM integration, and data refresh rates.
KEY TAKEAWAYS
- The global UHNW population is about 0.004 percent of people worldwide but accounts for roughly a third of all luxury purchases, philanthropic giving, and privately managed assets — and household income, the default targeting metric most firms still use, systematically misses them.
- Wealth Engine, Wealth-X, and Windfall measure UHNW prospects three different ways: census-based wealth scores, manually compiled dossiers (5 to 25 pages each), and deterministic net worth and liquidity modeling refreshed weekly.
- Wealth-X’s “known associates” data and Windfall’s affinity clustering let advisors map referral paths and tailor outreach around a prospect’s actual interests—art, yachts, exotic cars—instead of a generic pitch.
- Advisors who pair wealth intelligence data with their CRM convert that insight into measurable growth.
