Case Study: Windfall Data identifies, understands and engages affluent customers with ATTOM Data Solutions

Leveraging Real Estate Data to Identify, Understand and Engage Affluent Customers

Windfall Data, a San Francisco–based data company that models household net worth to help organizations identify, understand, and engage affluent consumers, needed accurate, up-to-date property information to power its weekly machine‑learning updates. To model who owns a property, purchase timing, property attributes and ownership history at scale, Windfall Data turned to ATTOM for deterministic real estate data including recorder and assessor records and historical ownership data.

ATTOM supplies weekly recorder and assessor updates and historical property records that Windfall Data ingests into its proprietary algorithms, enabling household-level net-worth modeling, triage signals, property linking and weekly model refreshes. With ATTOM’s consistent data delivery and responsive support, Windfall Data has grown to serve 200+ customers across nonprofits, financial services, retail, hospitality and automotive, and has helped clients better identify and engage high‑value prospects (for example surfacing donors who can increase small gifts to much larger contributions).

Windfall Data

Arup Banerjee

Chief Executive Officer