Every pricing research method asks the same underlying question in a different way: what will someone actually pay for this? But the four leading survey-based techniques, Van Westendorp's Price Sensitivity Meter, Gabor-Granger, conjoint analysis, and direct willingness-to-pay questions, produce meaningfully different answers depending on how the question is framed, and picking the wrong one can steer a launch price in the wrong direction. Understanding what each method actually measures, and where its blind spots sit, matters more than picking whichever tool a research platform happens to make easiest to build.
The Price Sensitivity Meter was introduced in 1976 by Dutch economist Peter van Westendorp as a way to map a psychologically acceptable price corridor using just four open-ended questions about when a price feels too cheap, cheap, expensive, and too expensive. The method has since been promoted by professional market research associations in their training programs and remains a staple for early-stage pricing work, particularly for new product launches where transactional data does not yet exist. Its appeal is speed and simplicity: it is inexpensive relative to more complex discrete-choice methods and produces an intuitive visual corridor that executives can act on quickly. But because it only asks about a single product in isolation, it does not account for competitive alternatives or feature trade-offs, which is precisely where its limitations begin.
Every survey-based pricing method, including Van Westendorp, is a form of stated preference research, and the U.S. Environmental Protection Agency's own Guidelines for Preparing Economic Analyses explicitly distinguishes stated preference, valuation based on hypothetical choices, from revealed preference, valuation based on observations of actual choices, precisely because the two can diverge. That divergence is not theoretical. A controlled study by the UK behavioral science firm DecTech, which compared survey responses against 52 weeks of actual sales data across 600 supermarket stores, found that a revealed-preference technique explained an average of 49 percent of the real-world variance in sales, outperforming every stated-preference method tested in the same study. The takeaway for pricing researchers is not that Van Westendorp or similar methods are unusable, but that their outputs describe a corridor of psychological acceptability, not a guaranteed predictor of purchase behavior.
Gabor-Granger takes a different approach: rather than asking respondents to describe abstract price thresholds, it shows them a specific price and asks directly whether they would buy, then moves the price up or down based on the answer to build a demand curve. Pricing consultancy Simon-Kucher & Partners, founded in 1985 and now operating in more than 30 countries, lists Gabor-Granger among the core methods it uses to calculate optimal pricing for market-leading clients, precisely because it produces a revenue-optimizing price point rather than just an acceptable range. The trade-off is that Gabor-Granger, like Van Westendorp, still evaluates a single product in a vacuum, so it works best when a company already has a strong sense of its competitive position and simply needs to pinpoint the number.
When price is only one of several variables a customer weighs, such as features, packaging, or service tiers, conjoint analysis is the method built to handle it. By presenting respondents with different product configurations at different price points and analyzing which trade-offs they actually choose, conjoint analysis estimates the monetary value customers place on each attribute rather than relying on a single stated threshold. Bain & Company's research on top-performing companies found that 76 percent of them strongly agreed their pricing strategies maximized returns at both the customer and product level, a level of precision that survey research firms consistently attribute to trade-off-based methods like conjoint rather than single-question approaches. The cost is complexity: conjoint studies require more sophisticated survey design and statistical modeling, which is why they are typically reserved for higher-stakes pricing decisions rather than quick directional checks.
The market research industry's own data confirms this is a fast-moving, still-evolving field rather than a settled one. ESOMAR, the global association for the insights and analytics industry, tracks how pricing methodologies evolve through its biennial Global Prices Study, and has documented a sustained trend toward online, self-serve approaches and away from older analogue methodologies, a shift that accelerated further during the pandemic. Separately, Simon-Kucher's Global Pricing Study 2025 found that companies still underestimate pricing as a profit lever relative to sales volume, and that among firms not yet using AI in their pricing process, 54 percent cite a lack of in-house expertise or resources as the barrier, suggesting that method selection is increasingly also a capability question, not just a methodology question.
In practice, the right method depends on what decision the research needs to support. Van Westendorp remains a reasonable first pass for early-stage price corridor scoping when no competitive or transactional data exists yet.
Gabor-Granger fits better once a company has a defined competitive set and needs a specific number rather than a range. Conjoint analysis earns its higher cost and complexity when price is being set alongside feature or packaging decisions, since it is the only major method built to capture those trade-offs simultaneously. None of these methods should be treated as a final answer on its own; pairing stated-preference research with actual transactional or experimental data, wherever it is available, remains the most reliable way to close the gap between what customers say and what they ultimately buy.