Artwork

Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Klaviyo Data Science Podcast EP 42 | Unlocking Customer Insights with RFM

40:04
 
Share
 

Manage episode 388841289 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Knowing your customers

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

For the full show notes, including resources mentioned in the episode and who's who, see the ⁠⁠Medium writeup⁠⁠.

  continue reading

58 episodes

Artwork
iconShare
 
Manage episode 388841289 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Knowing your customers

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

For the full show notes, including resources mentioned in the episode and who's who, see the ⁠⁠Medium writeup⁠⁠.

  continue reading

58 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play