Market Research: Foundations to Practice · Pricing Research
Combining Methods and Validating Against Real Behavior
No single stated-preference pricing method is sufficient on its own for a genuinely high-stakes pricing decision. This chapter covers how to triangulate across methods and, where possible, real behavioral data.
Because each pricing method covered in this module has distinct limitations, Van Westendorp's lack of competitive context, Gabor-Granger's reliance on a single tested product framing, and conjoint's greater cost and complexity, a genuinely high-stakes pricing decision often benefits from triangulating findings across more than one method, treating convergence between methods as a stronger signal than any single method's result considered entirely in isolation.
Key Takeaways
- Because each pricing method has distinct limitations, triangulating findings across multiple methods gives a stronger signal than any single method alone.
- Every stated-preference method still relies on hypothetical purchase behavior, so validating against real revealed-preference behavior is genuinely valuable where feasible.
- Live A/B price testing provides revealed-preference validation but carries real ethical and reputational risks around charging different customers different prices.
- A practical sequence uses stated-preference research to narrow candidates, then validates the shortlist through smaller-scale real-world testing.