The most-cited pricing survey in existence, and it needs a sample size most solo founders will never reach. Here is the part that still works.
The Van Westendorp price sensitivity meter asks four questions about price and plots the answers to find an acceptable range. It is the most-cited pricing survey in existence and it needs a sample size most solo founders will never reach.
Run the questions. Ignore the chart until you have the volume.
Asked about a described product, in this order, without showing any price first.
Plotting the cumulative distributions produces intersection points, the most cited being the range between the point of marginal cheapness and the point of marginal expensiveness, with an optimal price point where the too-cheap and too-expensive curves cross.
Before running it, be clear which segment you are surveying — willingness to pay varies more between customer types than most founders expect, and tier packaging covers when that difference justifies more than one price. The method dates from the 1970s and was designed for consumer goods with mass survey panels. That origin matters — it assumes a large, homogeneous respondent pool, which is the opposite of a solo founder's situation.
The output is four cumulative curves and their crossings. Crossings of curves built from few points move sharply when any single point moves.
| Responses | What you can conclude |
|---|---|
| Under 30 | Nothing from the chart. Read the free text instead. |
| 30–100 | Directional. Treat as a wide range, not a price. |
| 100+ | The method works as intended |
There is a second problem specific to small samples: the people who complete a four-question price survey are your most engaged prospects. At a hundred responses that bias dilutes. At fifteen it dominates, and engaged prospects systematically report higher acceptable prices than the general population you will actually sell to.
Keep the questions, drop the analysis. Ask the four questions in a conversation rather than a form, and follow each answer with one word: why?
The numbers are unreliable; the reasoning behind them is not. "Above $200 I would need to justify it to my business partner" tells you about the buying process. "Under $20 I would assume it was abandoned" tells you about positioning. Neither requires a sample size.
Ten conversations run this way produce more actionable pricing information than a fifteen-response survey with a chart, and they take about the same total time.
Never show a price before asking. The whole method depends on unanchored answers, and a single number shown earlier in the conversation pulls every subsequent response toward it.
For a pre-launch solo founder, two methods beat Van Westendorp on reliability and cost nothing to run.
Existing spend. What they already pay for the alternative is a fact rather than a stated preference. Willingness to pay research ranks the full set of methods.
A commitment test. Asking for a pre-order or a paid pilot at a specific price produces an answer that costs the respondent something, which is the only real guard against politeness.
Van Westendorp earns its place later — once you have traffic and can survey a hundred qualified visitors, it is genuinely useful for checking whether an existing price sits in a defensible range.
Survey people who match your target customer rather than whoever will answer. A hundred responses from the wrong segment is worse than fifteen from the right one, because it produces confident numbers about people who will never buy.
Treat the output as a range to test rather than a price to set, and pick from the upper half of it — the same estimation bias that affects every pricing method applies here too. Pricing with no customers covers turning a range into a number, and the pricing diagnostic covers working backwards from a symptom if you are already live.
A four-question survey asking at what price a product would be too expensive, expensive but worth considering, a bargain, and so cheap you would doubt its quality. Plotting the cumulative answers produces intersection points suggesting an acceptable price range.
Around 100 qualified responses for the intersections to be meaningful. Between 30 and 100 the output is directional at best. Below 30, the crossings move sharply on a single answer and the chart is noise.
Run the four questions, ignore the chart. Ask them in conversation and follow each answer with 'why' — the reasoning is useful at any sample size even though the numbers are not. Ten conversations this way beat a fifteen-response survey.
Existing spend and a commitment test. What someone already pays for the alternative is a fact rather than a stated preference, and a pre-order or paid pilot produces an answer that costs the respondent something.
Never. The method depends on unanchored answers, and any number shown earlier pulls every subsequent response toward it. This is the most common way the survey is invalidated.
Tell Marcus what your prospects pay today and what the alternative costs them. You get a specific price, not a range.
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