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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
Oct 18, 20252 min read


Deploy-Predict-Monitor explainable ML models with MLServe.com
lightweight MLOps for small teams
Nick Gavriil
Sep 14, 20255 min read


Parametric event detection in python with evDetect
Introducing evDetect, the python library for event detection and inference
Nick Gavriil
Nov 2, 20242 min read


Part 4: Marketing spend optimisation
The math behind optimal budget allocation
Nick Gavriil
Oct 26, 20244 min read
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