Specifically, how does Zeta collect data without storing exact information? For instance, how does Zeta know if, say, Bob is interacting and buying Starbucks coffee daily, and how do they match data from various sources to that customer?

A significant differentiation point is that Zeta's first-party data comes from companies and clients. It is highly protected and not shared or co-opted with Zeta's own data repository. Zeta owns aggregate data, such as how many people in the U.S. ordered from Starbucks in the last 30 days, but it doesn't know if Bob placed an order with Starbucks in this example.

Regarding the clients and customers, who are the typical customers for Zeta? What kind of size are we looking at? These are scaled and highly skilled customers. I'm trying to understand the size we're considering and the primary use case. You've given some examples, but I'm curious about what Zeta offers that competitors do not, making it the primary choice for customers.

We often compete against Salesforce, Adobe, and Oracle, as they have similar offerings. Our ideal client profile includes those who have had negative experiences with other platforms, want to do it right, and have the budget to invest. These clients usually have complex data architectures, receiving data from various sources and organizing it internally in nuanced ways. It's not typically a medium-sized business with a limited budget. The client's environment plays a significant role in determining fit, more so than just the type of company. Large direct-to-consumer businesses compete for consumer attention, and to do so effectively and personally, they need data to drive their decisions.