Your Attribution Model Is a Budget Decision You Never Made
Choosing an attribution model is a funding decision, not a measurement one. Here is what each model starves, and the question to answer first.
Choosing an attribution model is a funding decision, not a measurement one. Here is what each model starves, and the question to answer first.
Most companies build first-party data in the wrong order. What to collect at each stage, and what to refuse until a decision needs it.
LTV:CAC is two forecasts divided by each other. A healthy ratio hides cohort decay and blended CAC. Run payback by cohort instead.
Last-click attribution measures which ad came last, not what drives growth. Here is why optimising for it defunds the channels that build your business.
Build a four-layer marketing measurement framework without an analytics team: KPIs, channel metrics, attribution logic, and decision triggers for founders.
A practical three-stage incrementality testing framework for founders. No data science team needed. Learn how to measure what your marketing actually causes, not just what it touches.
Most founders treat first-party data as a compliance task. It’s a revenue lever. Here’s a staged collection model tied to your business maturity.
Most marketing dashboards report activity, not causality. Here are four structural gaps that make yours mislead, and how to audit each one.
Stop chasing the ghost of the click. Learn how to navigate the zero-click world of 2026 by mastering visibility as ROI, always-on incrementality, and Generative Engine Optimisation (GEO) to capture high quality leads.
Discover why attribution is breaking in the AI era & how marketers can measure invisible influence from ChatGPT, Perplexity, & Google’s AI Overviews through new frameworks for the zero-click world.