Conjoint analysis is a method for preference measurement that focuses on decisions – so-called trade-offs – between complete product packages. Instead of having participants rate individual product features in isolation on a rating scale, they are repeatedly presented with several complete offers to choose from. This is the crucial difference: Rating scales ask how important something is theoretically. Conjoint analysis shows what customers actually forgo in a real decision-making situation.

A typical example from the hotel industry: participants must choose between three offers that differ in star category, award (Hauben-Auszeichnung), and price per night.

All offers shown differ in several characteristics simultaneously. From many such repeated selection decisions, it is then possible to calculate the utility that individual product or service components generate – and what role they play in the actual purchasing decision process.

Conjoint analysis is so versatile because it answers four central strategic questions: For pricing, it shows the willingness to pay for new products, services, or individual features. For service development, it reveals the actual utility innovations create for customers. For brand value, it determines the price and volume premium of a brand compared to competitors. And for segmentation, it shows which characteristics customers with a specific preference structure possess.

Two key metrics can be derived from the selection decisions: part-worth utilities, which show how attractive individual attribute levels are, and the importance of individual service components for the overall purchasing decision. In our hotel example, it shows that the brand has the greatest influence on the purchasing decision at 34%, followed by price at 31% – even ahead of the star category and the award.

This weighting is worth real money: If the brand has more weight than the price, targeted brand work can significantly increase a provider’s pricing flexibility – a correlation that many companies underestimate when making pricing decisions in isolation from brand management.

The actual added value of conjoint analysis is revealed in the simulation: Based on the determined part-worth utilities, it is possible to precisely predict how market shares will shift at different price points, how sensitive customers are to price increases or decreases, and what the actual willingness to pay for certain new product variants is. If these values are linked with those of a competitor, the brand value can be concretely calculated – as the product of price premium and volume premium compared to the competition.

Whether for pricing, product development, brand value, or segmentation – conjoint analysis provides reliable, realistic answers in all these areas because it maps real decision-making behavior instead of surveying isolated opinions. For companies introducing new products, revising their pricing strategy, or quantifying their brand value, it is therefore one of the most insightful instruments in market research.