Causal inference isn’t just a sophisticated toolbox used by statisticians, but a mindset that can be applied to every problem, including business metrics The Problem If you’ve ever tried to explain your product’s revenue model, you’ve probably used the comforting formula: Revenue = Paying Users × ARPPU It’s simple, elegant, and — unfortunately — misleading. The illusion of independence Many product managers and analysts treat Paying Users  and Average Revenue Per Paying User

lightweight MLOps for small teams

Introducing evDetect, the python library for event detection and inference

The math behind optimal budget allocation

Is the 3:1 LTV:CAC ratio your best option when it comes to optimising your marketing spend?

In the second part of the series we discuss all things measurement for LTV:CAC

In the first part we discuss misconceptions about the metric that lead to bad decision making and investment loss

A minimal set of skills to land a job as a Growth Analyst