David Steinberg
Analyst · Oppenheimer. Please proceed.
Thank you, Brian. So what I would say is, like any new product, you're seeing it come out of multiple buckets, right? It's coming out of the IT budget. It's coming out of the software budget and some of it, it's coming out of the marketing budget. But truthfully, I do believe going into next year enterprises we're talking to because yes, we talk to a lot of CEOs are setting up standalone AI budgets around innovation. And we believe with our proprietary data because as we've said multiple times, AI is only as good as the data you feed into it. So when you put the CDP in place, you take their data, all of our data, that's where the magic happens. You've got all of their first-party proprietary data, all of our first-party proprietary data, and you begin to look at how the algorithms get smarter and smarter. The beauty and the thing I love most about this component of the enterprise budget, Brian, is its cost savings to the enterprise. So we're able to put out an AI agent that can eliminate $10,000, $250,000 a year data science jobs, to put it in perspective. And in exchange for that $2.5 million in savings, they might be spending $200,000 or $300,000 with us. So it's a really, really good return on investment. And then from a growth perspective, what we find is our enterprise clients who use our CDPs, use our AI agents are substantially stickier. They scale faster.