Andrew Bialecki
Analyst · TD Cowen
Yes, sure. So in the mid-market and enterprise segments, we're obviously seeing some really good numbers. We added the most 50,000-plus customers in this past quarter. And I think there's really -- there's 2 things going on that are forcing these conversations. So yes, I do see there's a real acceleration there for 2 reasons. The first is a traditional reason, which is what we're doing by combining the underlying data infrastructure with then the marketing service analysis, application stack and infrastructure, handling things like deliverability on the messaging side, creative design and on the service side, providing that real-time infrastructure can have conversations with consumers wherever they are. I think what's happening on top of that is then when you layer in agents and really here, we mean agents and agentic workflows, we're finding a lot of large enterprises say, look, there's opportunities I can't get to. I can't do this data analysis. There's creative and design that I wish could get checks by agents so we can do more of it. Can you help me find more opportunities to execute against those. And then obviously, on the customer service side, I think a lot of people look at customer service is not just a, hey, when customers have issues, how do I help them? But also how can I proactively give them guidance and look at that as a growth engine. So there was this traditional reason of like, look, my software isn't really talk to each other very well. And now you layer on what LLMs give us in terms of a better logic engine, a better -- smarter way to use the tech that we've built. I think this is the future of how CRM is going to work for consumer companies. It's going to be agentic at its core, which means that instead of the operators of that software having to decide, make every decision, drive the software all on its own, -- it's going to be done in part by agents. And I think increasingly, some of the work they can't get to or don't want to do is going to get handed off. And the fact that Klaviyo provides us like closed loop where, hey, it's not just that we store the data, hey, it's not just that we help you find the ideas and execute them. It's then we can then tell you what's working so you can use machine learning and AI to improve, to optimize over time. That's where this is all going. But I have those conversations with our enterprise customers today and then folks that we're talking to that are in our pipeline, they're very excited about this future. And I think we're in the driver's seat to go deliver for.