Klaviyo Data Science Podcast EP 45 | SegmentsAI: An AI Case Study on Delivering Value

Michael Lawson
Klaviyo Data Science
2 min readMar 4, 2024

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

An AI Case Study

In many ways, 2023 was the year of AI in tech, which is a double-edged sword. On the one hand, the basic technology is straightforwardly exciting — but on the other hand, with seemingly every technology solution scrambling to integrate a thin wrapper around ChatGPT, it’s hard to stand out in a saturated environment. This month on the Klaviyo Data Science Podcast, we dive into a case study of how to build AI products, SegmentsAI, and discuss the principles that go into making sure your AI-powered product shines — and, more importantly, actually helps your customers. You’ll hear about:

  • How to know when AI is the right solution for the problem
  • The unique technical challenges that come with building an AI product, from user testing to validation
  • The answer to the AI chicken-and-egg problem

“Why do this, why build another LLM feature? It seems like every website is rushing to get their name next to AI... How you break through the noise is to actually provide value to people, not novelty. Being able to help customers speed up or generate new, interesting segments that they otherwise wouldn’t? I think that’s valuable.”

— Rob Huselid, Senior Data Scientist

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About Klaviyo

Klaviyo powers smarter digital relationships. We make it easy for B2C businesses to transform all their data into more valuable customer experiences across every touchpoint — from email and SMS to the web and reviews. More than 135,000 businesses rely on Klaviyo to grow their revenue faster and more efficiently. Interested in joining us? We’re always looking for great people to join our team.

Who’s who

Logo by: Griffin Drigotas from Klaviyo Design

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Michael Lawson
Klaviyo Data Science

Data scientist at Klaviyo. Poet. Creator and host of the Klaviyo Data Science Podcast. Double UNC-Chapel Hill alum.