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Why Most People Misunderstand ARPPU (and How to Think About It Causally)
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
Nick Gavriil
5 days ago2 min read
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Deploy-Predict-Monitor explainable ML models with MLServe.com
lightweight MLOps for small teams
Nick Gavriil
Sep 145 min read
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Parametric event detection in python with evDetect
Introducing evDetect, the python library for event detection and inference
Nick Gavriil
Nov 2, 20242 min read
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Part 4: Marketing spend optimisation
The math behind optimal budget allocation
Nick Gavriil
Oct 26, 20244 min read
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