The industry still runs on an assumption that has gone largely unquestioned for two decades: that if you know enough about who someone is (their age, income bracket, browsing history, purchase patterns), you can predict what they want and when they want it. Demographic segmentation, behavioural lookalikes, and predictive models built on historical data: all are variations on the same premise. Tyler Boyd thinks that premise has a fundamental flaw. “Demographic foundation is additive,“ he says.