Business Analytics
10 articles in this topic.
A/B testing in practice: sample size, p-values, and the traps
A/B testing done wrong wastes months of effort. Master p-values, sample size, and the six traps — peeking, SRM, and more — before your next experiment.
Cohort analysis: how to actually read a retention curve
Cohort analysis reveals what aggregate retention metrics hide — learn to build a cohort table, read a retention curve, and spot product-market fit signals.
Funnel analysis: finding exactly where users drop off
Master funnel analysis to pinpoint conversion leaks, prioritize fixes by impact, and turn step-by-step drop-off data into real growth.
LTV and CAC: the unit economics every analyst should model
Master LTV and CAC unit economics: correct formulas, cohort methods, payback periods, and the pitfalls that make most models wrong.
North Star metrics: the one number that actually moves a business
What a north star metric is, how to choose one, and why a single well-chosen number beats a dashboard of 40 KPIs.
Cohorts, not totals: how a flat dashboard hides a dying product
A steady active-user count can mask catastrophic churn — and the only way to see the rot is to stop looking at totals and start looking at cohorts.
The conversion funnel is a multiplication problem
Overall conversion is the product of every step rate — not a vague average — and that single fact tells you exactly where to spend your next dollar.
Net revenue retention: the one number investors obsess over
NRR reveals whether your existing customers are worth more or less than they were a year ago — and a single number above 100% changes everything about how you can grow.
How to read a P&L in sixty seconds
The income statement is the one page every business speaks fluently, and once you know the grammar you can judge a company before your coffee gets cold.
Unit economics is the only growth math that matters
Whether pouring money into growth is brilliant or fatal comes down to one ratio — and most people compute it wrong.