WEBINAR

Why Wealth Data is Really Hard Even With AI

Thursday, April 9th, at 1:00 PM ET / 10:00 AM PT

Is your wealth screening actually accurate—or just directionally helpful? Are you over-indexing on real estate as a proxy for wealth? And in an era of AI, how confident are you in the data powering your models?

Identifying high-capacity constituents is foundational to any successful fundraising strategy—but getting wealth data right is far more complex than it appears. Fragmented records, ambiguous asset ownership, and over-reliance on incomplete data sources often lead to inaccurate profiles and missed opportunities.

As organizations look to incorporate AI into their workflows, the stakes are even higher. AI is only as good as the data behind it—and flawed wealth data can quietly undermine even the most advanced models.

In this webinar, Windfall wealth data and AI experts, Kathleen Atkins and Isaac Batman, for a discussion on why wealth data is inherently difficult—and what leading organizations are doing to improve accuracy and drive better outcomes.

In this session, we will explore:

  • Why traditional wealth screening approaches often fall short—and where they break down
  • The 4 V’s of data (volume, velocity, variety, veracity) and their impact on accuracy
  • Common data challenges, including asset attribution and over-reliance on real estate signals
  • New approaches to wealth screening that improve precision and usability
  • How wealth data quality directly impacts
  • AI-driven fundraising use cases
    Bonus: Live demonstration of Windfall’s new Nonprofit SaaS and AI application

Please fill out the form to save your seat. We hope you and your team will join us!

Presenters

Kathleen Atkins

Kathleen Atkins

VP of Marketing, Windfall

Isaac Batman

Isaac Batman

Nonprofit Sales, Windfall

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