Klaviyo Data Science Podcast EP 42 | Unlocking Customer Insights with RFM
Published in
2 min readDec 13, 2023
Customers are all unique, whether you’re building a data science product or selling an ecommerce product. In an ideal world, we’d be able to think about all of them on a truly one-on-one basis. Most of us can’t keep track of that many people in our brains, though, which is where the topic of today’s episode comes in: what is the best way to summarize an entire population of customers into a number of groups that is small enough to intuit but fine-grained enough to actually be useful in practice?
Listen along to learn more about:
- Why understanding your customers is the superpower that drives any successful product
- How simple-sounding concepts like recency can be trickier than expected
- How to build a technical solution that draws on a vast number of data stores
You can listen to the full episode on Spotify, or see more details, including other episodes, on our podcast blog.
Featured on this episode:
- Michael Lawson, Data Science Manager
- Zach Willert, Senior Data Scientist
- Isabel Yap, Senior Product Manager
- Jacob Brandt, Senior Software Engineer
- Nick Hartmann (LinkedIn), Engineering Manager
Logo by: Griffin Drigotas from Klaviyo Design
