Practical guides to the research methods behind confident pricing decisions, with interactive simulators built in.
How conjoint analysis works, when to use it (and when not to), key study-design considerations, an interactive scenario simulator, and a sample-size estimator.
How Max-Diff (maximum difference scaling) studies work, when to use them, key study-design considerations, and an interactive best/worst feature-ranking simulator.
A fast, powerful way to price SaaS add-ons and new feature launches: what expected uptake looks like, how to find an optimal price, and how it pairs with conjoint analysis.
How monadic price testing works, where it holds up against Gabor-Granger and where it doesn't, key study-design considerations, and a side-by-side comparison of the two methods.