How does RealAI have so much data on people?

Have you ever been served an ad for exactly the thing you were just thinking about? Most people know companies track their behavior, but few appreciate the scale of what happens behind the scenes. For decades, banks, retailers, insurers, and technology companies have relied on private consumer data to answer commercial questions: Should I lend to this person? Will they buy my product? Can I safely insure them?

Because hundreds of billions of dollars of corporate spend rides on those answers, an enormous private data economy has grown up to inform them—credit and loan applications, banking and payment activity, consumer purchases and loyalty programs, employment and payroll systems, insurance applications and claims, and, largest of all, the torrent of digital signals from websites, apps, advertising systems, devices, and location services.

Half a billion events, in one stream alone

To put the scale in perspective, consider just one slice of this economy—credit applications and inquiries made in a typical year:

That’s roughly half a billion credit events annually—and credit is only one of a dozen such data streams.

Commercial-data scale, designed like a census

What RealAI has done differently is turn this private commercial data toward a statistical purpose. Rather than using it to target one consumer at a time, we assembled it into a stable panel of 185 million adults across 104 million households—the same people measured repeatedly over time, the way an economist would design a study.

For comparison, the Census Bureau’s American Community Survey, the gold standard for household data, reaches about 2 million households a year. Our panel has observed income data on 33 million households and modeled income for 71 million more, refreshed eight times per year. The result is something that has never existed before: census-designed coverage with commercial-data scale.