AI at work

Featured ai at work articles

AI at work
Dec 7, 2023
Predicting churn risk with a CLV model

Learn how to use the Klaviyo customer lifetime value (CLV) prediction model to predict customer churn more accurately than with a standard academic model.

Profile photo of author Tiffany Regaudie

AI at work articles

In lavender and white font on a dark, galaxy-like background, image reads, "how 1.5K+ marketers are using AI at work." To the right of the text is an image of a report booklet titled, "The AI trends report for ecommerce marketers."
AI at work
Apr 8, 2024
Why using AI in the workplace can be valuable

In a global survey of ecommerce marketers, respondents revealed they feel hesitant to admit when they’re using AI. Learn how AI can make you a more valuable employee.

Profile photo of author Jax Connelly
Jax Connelly
6min read
Image shows 3 people working alongside text that reads "Behind the scenes of Klaviyo AI—with the people who built it"
AI at work
Feb 26, 2024
Behind the scenes of Klaviyo AI

New AI tools roll out nearly every day. Learn about the intricacies behind their development with the people who built it on the Klaviyo Data Science podcast.

Profile photo of author Annie McGreevy
In white and lavender font on a black background, text on the left side of the image reads, "How AI is improving speed and scalability for marketers—right now." The Klaviyo flag is in lavender in the upper left corner. The ride side of the image shows a product illustration of what it looks like to use AI to design an email section in the back end of Klaviyo, along with an example of what the email could look like.
AI at work
Feb 23, 2024
How AI improves speed & scalability for marketers

Learn how AI accelerates every aspect of marketing automation, including speed, scalability, and personalization. Get started with AI for marketing automation.

Profile photo of author Michael Applebaum
AI at work
Dec 7, 2023
Predicting churn risk with a CLV model

Learn how to use the Klaviyo customer lifetime value (CLV) prediction model to predict customer churn more accurately than with a standard academic model.

Profile photo of author Tiffany Regaudie