Choice-based conjoint analysis is a quantitative research technique used to measure how consumers value different product attributes by presenting them with a series of realistic choice scenarios. Rather than asking participants to rate features in isolation, choice-based conjoint forces trade-offs that mirror actual buying decisions, producing preference share estimates and willingness-to-pay data that simpler survey methods cannot generate. The method is widely used in pricing research, product configuration, packaging design, and portfolio strategy. Because it models real decision-making under constraint, choice-based conjoint produces findings that are more predictive of market behavior than direct preference questions or rating scales alone.