Michael Kaminsky's videos and podcasts

A/A Testing: How to Check If Your Experimentation Platform Actually Works

How to Actually Check If Your Media Mix Model Is Right

The Continuous Testing Loop That Separates Great Marketing Teams From Average Ones

Why "MMM Is Only a Report Card" Completely Misses the Point

The Difference Between Predicting What Happens and What You Make Happen

How Hierarchical Models Fix One of the Biggest Flaws in Media Mix Modeling

The Difference Between Attribution and Incrementality Explained

Statistically Significant Doesn't Mean Worth the Spend

Plato's Cave and the Lie Your ROAS Is Telling You

Why "Statistically Significant" Results Can Still Be Completely Wrong

How to Actually Test If Your Meta Ads Are Working

Are your marketing tests actually blind? #marketing #data #testing

Incrementality Testing: How to Actually Measure Marketing Effectiveness (2026)

The Counterfactual Problem Hiding in Every Marketing Report #marketing #shorts

How to Build a Media Mix Model (MMM) | Complete Tutorial by Recast

Most Marketers Ignore This Half of Their Data

Why Your Spreadsheet Can’t Measure Incrementality

How Marketing Dashboards Lie to You (And What to Do About It)

The Trap Every Data Analyst Falls Into

Why assuming a fixed ROI makes your MMM wrong

Why “any publicity is good publicity” only works in some categories

How AI helps with MMM—and where it still falls short

Why every company spending real ad dollars should run lift tests

How to use brand awareness in MMM (without overclaiming)

Don’t outsource your customer relationship to Meta and Google

Fewer leads, higher LTV: the tradeoff most teams miss

Digital receipts are an underrated attribution unlock

Budget for failed tests or you’ll stop testing