Customer Lifetime Value via Retention — in Python, with Pandas and Numpy

Customer Lifetime Value via Retention — in Python, with Pandas and Numpy

In this post, we will not dig into more advanced techniques that involve individual LTV predictions. I am thinking of writing a separate blog post about that.

Consider these as primers to customer lifetime value: these 3 parts are quite easy to digest and will give you a good intro to LTV. In Part 1 , I went through the logical piece, so if you’re interested, go check it out! In (a small) Part 2 , I showed an example of how cohort retention adds up to an average weighted lifetime of a customer. And here, in Part 3, I have added a Python blueprint code that you can use and improve upon to extrapolate your customer LTV.

data-analysis python customer-lifetime-value growth-hacking numpy

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