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Klaviyo Data Science Podcast EP 10 | Once in a (customer) lifetime
Manage episode 317314466 series 3251385
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
Understanding your Customer Lifetime Value
This is a math-heavier episode than usual — we’re going to dive into probabilistic distributions and talk about systems of estimators. Even if that’s not your background, though, you should still find this episode useful. That discussion is all based in something crucial to real-life businesses around the world: customer lifetime value, or CLV. What exactly does CLV tell you, how exactly is it calculated and predicted, and why exactly does it matter to your business? You’ll hear about all that and more, including:
- Statistical approaches to modeling customer behavior
- Difficulties that arise when customers don’t act exactly like they’re modeled
- How the humble Tungsten cube can teach us about the entire customer journey
Contact me
The best place to reach the podcast is by messaging me on Twitter: https://twitter.com/lawson_m_t.
47 jaksoa
Manage episode 317314466 series 3251385
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
Understanding your Customer Lifetime Value
This is a math-heavier episode than usual — we’re going to dive into probabilistic distributions and talk about systems of estimators. Even if that’s not your background, though, you should still find this episode useful. That discussion is all based in something crucial to real-life businesses around the world: customer lifetime value, or CLV. What exactly does CLV tell you, how exactly is it calculated and predicted, and why exactly does it matter to your business? You’ll hear about all that and more, including:
- Statistical approaches to modeling customer behavior
- Difficulties that arise when customers don’t act exactly like they’re modeled
- How the humble Tungsten cube can teach us about the entire customer journey
Contact me
The best place to reach the podcast is by messaging me on Twitter: https://twitter.com/lawson_m_t.
47 jaksoa
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