7 Pricing Research Methods: Van Westendorp to Conjoint
Compare seven pricing research methods, from Van Westendorp and Gabor-Granger to conjoint and live price tests, and learn when each fits your decision.
Pricing research helps you choose prices by studying what buyers say or actually buy. The seven methods below answer different questions, from finding a plausible range to testing a complete offer in market. Use the comparison to choose the evidence your next pricing decision needs.
Book a demo to discuss a simulated comparison of prices your business could offer. See our comparisons with human research before choosing the task and measure for your pricing question.
Seven pricing research methods compared
Method | Question, source and useful limit |
|---|---|
Van Westendorp | Four price-perception questions for a complete offer. Useful for a stated acceptable range; does not observe demand or optimize contribution. |
Gabor-Granger | Acceptance at specified prices under a declared exposure and routing rule. Keep the repeated-price path and stated-response base visible. |
Choice-based conjoint | Choices among feasible combinations of features and price. Estimates trade-offs within the tested design; external validity still needs checking. |
Monadic price cells | Independent groups see one complete offer at one price each. Plan valid answers for each prespecified between-price comparison. |
Direct willingness to pay | Ask a stated maximum or consideration amount, with rejection allowed. Useful as a reported threshold, rather than a verified transaction. |
Observed price experiment | Measure actual purchase outcomes under assigned price conditions. Include availability, customer eligibility, costs and experimental design. |
Transaction and competitive analysis | Inspect your dated sales, promotions and available competitor offers. Useful context; an association between price and volume alone does not isolate a causal price effect. |
Start with our Van Westendorp guide for price perceptions, our conjoint guide for offer trade-offs, or our willingness-to-pay guide for amounts people say they would pay. Our consulting comparison explains the research, business analysis and implementation work to include in a quote.
Choose the method for the missing answer
Your main uncertainty | Method, required inputs and limits |
|---|---|
What prices feel plausible? | Van Westendorp: ask price perceptions for a clear product and price unit. This does not establish actual demand or a profit optimum. |
How does stated interest change at known prices? | Explicit price response: Gabor-Granger or monadic cells need a credible ladder and purchase context. Observed price elasticity still needs market evidence. |
How do price and features trade off? | Conjoint: define attributes, levels and feasible combinations. Estimates apply to the choices shown, not real market share under every channel condition. |
Which benefits deserve space in a bundle? | Prioritization, potentially MaxDiff: compare benefit statements. It does not measure willingness to pay for the complete bundle. |
Does a new price change real purchasing? | Market experiment: implement feasible prices and observe outcomes. It does not explain every individual’s choice. |
You do not need to run every method. Add one only when it answers a new question. If you already have credible price-perception research and two feasible shelf prices, compare those amounts. If price changes the offer itself, decide which combinations to test first.
Example: pricing a grocery six-pack
This hypothetical example follows a six-pack of sparkling tea for grocery buyers. The team might need a plausible price range, a comparison of feasible prices or a choice between feature-price combinations. Choose the study for that question, then test whether the offer works commercially.
Use the brief below to keep the six-pack, buying situation and pilot decision together before writing price questions.
Brief field | Example brief |
|---|---|
Offer | Six 250 ml cans of sparkling tea · one-off grocery purchase · total price including tax |
Feasible candidates | $12, $15 and $18; contents and channel unchanged |
Decision | Choose which feasible price to take into a market pilot |
Missing evidence | Response to the displayed amounts, rejection reasons and contribution |
Method to investigate | Independent price cells when an uncontaminated first reaction is important |
Later evidence | Observed conversion and repeat in the pilot |
If you do not yet have candidate prices, start by learning which range feels plausible.
Write the action before the questions: “take one of these prices into a pilot,” “revise the pack to meet margin,” or “choose a feature-price tier.” A result that cannot change that action is a description, not a reason to buy more research.
Define what the price buys and where
The offer is six 250 ml cans in a one-time grocery purchase, with tax included. The price changes to $12, $15 or $18 while the pack, channel and description stay the same. Without that detail, “$3” could mean one can, a serving or a delivery charge.
List the commercial constraints alongside the card. Are all three prices implementable in the channel? Does a retailer set a minimum margin? Are promotion, distribution and replenishment the same? A favorable reaction to an unavailable offer does not give the team a usable candidate.
If the contents or terms differ, compare complete offers. A $15 delivered subscription and a $12 grocery purchase differ in delivery, commitment and channel as well as price. Calling this only a price comparison would hide what the study can explain.
For a choice between complete offers, our concept testing guide shows how to compare the benefit, use occasion and audience before deciding what to develop.
Three ways to approach the six-pack decision
If the range is unknown, ask about price perceptions and reasons to find amounts worth testing. Van Westendorp asks four cheapness/expensiveness questions. A direct maximum asks how much someone says they would consider paying. Give a clear offer and allow rejection or insufficient information. Check that the amounts are feasible before building a price ladder.
If you know the range but not the amount, show the six-pack at candidate prices in a buying situation. Independent groups each see one price. Repeated Gabor-Granger questions follow each person’s answers through a price ladder. Decide whether you need a first reaction or a price bracket, then connect the result to the business objective.
If the offer is still undecided, compare combinations your business can supply. A smaller pack at $12 may compete with a larger one at $15, or features may differ. Conjoint can estimate trade-offs among the attributes and levels shown. Liking separate features does not tell you what people would give up to pay for the whole bundle.
Each route should lead to an action. A perceived price range below your costs suggests changing the offer. A price comparison may select pilot candidates without clearly separating them. A feature-price comparison may choose a prototype that still needs a physical test. Use the result to narrow what you do next.
First reactions and repeated prices answer different questions
Independent price groups each contain different people who meet the study criteria. Each person sees one price, so earlier prices cannot shape that answer. More prices or buyer groups divide the available sample. Plan enough completed answers for the main comparison, not just a large total across the study.
A repeated ladder gets more answers from each person. Earlier prices can also shape expectations and make the task feel like negotiation. Save the starting price, every price shown, the answers and the stopping rule. Investigate a yes followed by a no at a lower price instead of automatically smoothing it away.
Showing prices side by side asks another question. People can compare the alternatives directly and may choose the cheapest. Collect a first reaction before showing other amounts if that is what you need. Report the later comparison as its own result.
Remove prices your business cannot offer
Situation | Evidence and reason |
|---|---|
Stable offer, two feasible prices | Useful first evidence: Independent price cells or a specified repeated-price design Reason to avoid an extra technique: Another perception exercise may not change the available choices |
Unknown acceptable range | Useful first evidence: Price perceptions and reasons Reason to avoid an extra technique: A detailed curve at arbitrary amounts can miss the plausible range |
Feature and price decisions interact | Useful first evidence: Feasible offer-choice design Reason to avoid an extra technique: Separate feature liking cannot establish a priced tradeoff |
The concern is actual repeat buying | Useful first evidence: Observed pilot and follow-up Reason to avoid an extra technique: More hypothetical questions cannot observe repeat purchases |
A revenue index and a contribution index may favor different prices. Multiplying price by a stated response share gives a simplified index, not observed revenue, and leaves out costs. Contribution also needs the relevant variable costs, fees and volume. A business seeking new customers may value trial differently from near-term contribution.
Tell the analyst which business objective decides the choice. “Maximize the positive-intent share” can favor the lowest price while failing the business. “Choose a contribution-feasible price for a pilot” permits the report to recommend a higher amount, explain the difference in responses and name the buying behavior still to test.
Two worked decisions show why the economics must match the research question. Our product cannibalization guide follows a new bottle from its own sales into total portfolio contribution. Our returns-policy research guide calculates how much additional ordering would be needed to fund free return labels under a stated cost and return-rate scenario.
Keep each result tied to its offer
Keep the quantity, currency, channel, audience and meaning of the response with every result. The four-can $8–$11 perception exercise, this six-pack and the two-refill monthly subscription are different offers. Do not combine them into one price recommendation.
A MaxDiff score shows which benefits take priority within a list. It does not tell you how price affects choice. Use it to choose functions worth investigating, then define complete offers for a priced-choice study. Show which finding changed the next card or set of candidates.
Human stated reactions, simulated reactions and observed purchases answer different questions. Repeating simulated runs can show how results change with the setup. The number of generated answers does not give the precision of an independent human sample. A market pilot shows behavior under its actual availability, promotion and selection conditions.
Questions about pricing research methods
Which pricing research method is best for a new category with no benchmarks?
Start with a clear offer your business can supply. If candidate prices are unknown, Van Westendorp or a direct stated amount can help find a range to examine. If people cannot understand the offer, clarify the use and buying context first. Then compare feasible prices, or use conjoint when features and price must trade off. Check actual buying in a market pilot. A stated range cannot tell you demand or the most profitable price.
Ask for a recommendation that explains the price trade-off
Send the complete offer, feasible prices, target audience and business objective. Ask for the questionnaire, what people see, answer counts, full distributions, reasons and calculations. The recommendation should name what to do next. If a particular method matters, name it and check the proposal includes it.
Ask what the provider would recommend if the low price draws more interest but the high price better meets the business objective. The answer should connect buyer reactions with costs and returns, not promise one universal “optimal” price. Sapien can compare simulated reactions to offers and explain differences between buyer groups. Agree the audience data and validation your decision needs.
When choosing a supplier, our pricing research consulting comparison separates buyer-response work, commercial analysis and implementation support, so you pay for the work you are missing.
Further reading
- our four-can Van Westendorp exercise
- our monadic price-cells guide
- our Gabor-Granger guide
- our conjoint guide
- our MaxDiff guide
- our willingness-to-pay guide
- our pricing research guide
Use a Sapien demo to discuss whether your next decision needs a price range, independent reactions or a comparison of complete offers. Agree the measures you will receive and the business inputs before choosing a study.
