Brand maps and drivers analyses are market research staples, but their outputs can be difficult to interpret and act upon. We introduce Moon Plots, a more intuitive alternative to conventional correspondence maps, and share code to create them. We also take Bayesian Networks analysis beyond standard outcome-focused drivers analysis by quantifying what drives intermediate perceptions as well as final outcomes. We show how these approaches create clearer positioning stories and more actionable growth strategies.
