In early 2023, a few weeks before ChatGPT launched a paid plan, OpenAI dropped a Google Form with four questions into its Discord. Those four questions were a Van Westendorp pricing survey, and the answers pointed at $20 a month. ChatGPT Plus shipped at $20, and that number went on to anchor the price of nearly every consumer AI subscription that came after it.
Nick Turley, OpenAI's Head of ChatGPT, told the story on Lenny's Newsletter: no pricing model, no benchmark, just the oldest willingness-to-pay method around, run quietly on a chat server. If it wasn’t for one pricing agency spotting the form in the wild, it would have run silently without any of us knowing, just like most Van Westendorp surveys.
Van Westendorp keeps getting reached for as a pricing research method because it fixes a stubborn problem: people are hopeless at answering "what would you pay for this?", but they answer indirect price questions honestly, and putting those answers together shows the price range they’ll actually accept.
What is the Van Westendorp Price Sensitivity Meter?
The Van Westendorp Price Sensitivity Meter is a survey method that finds an acceptable price range for a product by asking participants four indirect questions about which prices feel cheap and which feel expensive. Its most important result is the optimal price: the price where the smallest percentage of your target customers reject the product outright, either because it seems suspiciously cheap or because it seems too expensive. Dutch economist Peter van Westendorp developed the method in 1976, and market researchers have used it ever since.
The method exists because asking people directly what they'd pay gives unreliable answers. Some participants lowball on purpose, because they suspect their answer could set the price they’ll be charged. Others overstate it, because saying yes to a price costs them nothing in a survey. That second problem is called hypothetical bias, and it's well documented. Research comparing what people say they’d pay with what they really pay finds they overstate it by about 20% on average for everyday consumer products (Journal of the Academy of Marketing Science, 2020), and by about a third across a review of 28 studies, with some studies finding much bigger gaps (Environmental and Research Economics, 2005).
“💡 Hypothetical bias is the gap between what people say they’d pay in a survey and what they actually pay with real money on the line. It’s why people directly how much they’d pay tends to misrepresent their true willingness to pay.”
Van Westendorp avoids the lowballing problem by never asking participants what they’d pay. The four questions ask how different prices feel instead: too cheap, a bargain, getting expensive, and too expensive. One person’s answers don’t tell you much on their own. But when you combine the answers from everyone who took your survey, the points where they overlap show the price range most of your target customers will accept.
What are the four Van Westendorp questions?
Every Van Westendorp survey asks these same four questions, worded around the product being tested:
At what price would this product be so cheap you'd question its quality? (Too Cheap)
At what price would this be a bargain, a great buy for the money? (Acceptably Cheap)
At what price does this start to feel expensive, but you'd still consider it? (Acceptably Expensive)
At what price would this be so expensive you wouldn't consider it? (Too Expensive)
Each question captures a different price: suspicion about quality, hunting for a bargain, hesitation about budget, and outright rejection. Together they show where a price starts to feel too low and where it starts to feel too high.
The wording is more important than it might seem. Small changes to these four sentences change the results, which is why most researchers stick closely to the standard phrasing. For the exact wording to use, and the common mistake where participants read "too cheap" as "cheapest", read our guide: the four Van Westendorp questions.
How do you read a Van Westendorp chart?
The results of a Van Westendorp survey are shown as a line chart with four lines, one for each question. It looks intimidating the first time you see it, but every line works the same way, so the easiest way to learn it is one line at a time.
Start with one line: Too Cheap
The Too Cheap line shows the answers to the first question: "At what price would this product be so cheap that you'd question its quality?"
The horizontal axis shows the range of prices participants gave in their answers. The vertical axis shows the percentage of participants who agreed that a given price would be so cheap they'd question the product's quality.
Here's the same line again, with three points labelled:
In the top-left corner, 100% of participants think $1 would be too cheap for this product.
In the bottom-right corner, nobody said $30 would be a sign of low quality.
In the middle, 20% of participants said $13 would be so cheap that they'd question the product's quality.
Add the other three lines
The full chart looks more complicated, but each of the other three lines works exactly the same way. Pick any point on a line, and it tells you the percentage of participants who agreed with that question at that price.
The Too Cheap and Acceptably Cheap lines run from top-left to bottom-right. The Acceptably Expensive and Too Expensive lines run the opposite way, from bottom-left to top-right, because they ask the opposite question. For example, 0% of participants said $1 was too expensive to consider buying. Because two lines go down and two lines go up, they cross each other in the middle of the chart, and the points where they intersect are the results of your survey.
The four key results of a Van Westendorp survey are each defined by the point where two of the lines intersect:
| Price point | Where the lines cross | What it tells you |
|---|---|---|
| Optimal Price Point (OPP) | Too Cheap × Too Expensive | The price where the fewest people rule the product out as either suspiciously cheap or unaffordable, so the largest share stay in play. |
| Point of Marginal Cheapness (PMC) | Too Cheap × Acceptably Expensive | The floor of the acceptable range. Price below it and more people doubt the quality than see value. |
| Point of Marginal Expensiveness (PME) | Acceptably Cheap × Too Expensive | The ceiling of the acceptable range. Price above it and more people call it overpriced than call it a deal. |
| Indifference Price Point (IPP) | Acceptably Cheap × Acceptably Expensive | The price an equal number see as a bargain and as dear. It usually lands near the going market rate for the category. |
Here's what that looks like for the optimal price. In the example chart, the Too Cheap and Too Expensive lines intersect at $26, at the point where the vertical axis reads 3%. That means 3% of participants think $26 is too cheap and 3% think it's too expensive. The other 94% are open to considering the product at that price.
The gap between the PMC and the PME is the acceptable price range: the price most of your target customers consider reasonable.
That's a fast overview of the Van Westendorp chart. For a more thorough explanation of how the chart works, what these intersection points mean and how to find the optimal price range, read our guide: how to read a Van Westendorp chart.
How do you turn Van Westendorp into a revenue forecast?
The four classic questions tell you which prices people find acceptable, but they don't tell you how many people would actually buy at each price. For most pricing decisions, that’s the information you need most. To measure demand at each price point, two extra questions, known as the Newton-Miller-Smith (NMS) extension, are added to the end of a Van Westendorp survey.
The two NMS questions take each participant's own answers for "acceptably cheap" and "acceptably expensive", and ask how likely they'd be to buy the product at those two prices, on a five-point scale from "definitely would not buy" to "definitely would buy".
This extra information tells you the demand for your product at different prices and, based on that, the total revenue each price would produce. The price that produces the most revenue is often different from the optimal price point, which is why the dynamic NMS questions are so valuable to include.
The full method, the weighting, and how to read the revenue curve are in the Newton-Miller-Smith extension explained.
How do you run a Van Westendorp survey?
Three steps: build it, collect responses, read the results.
Build it. The four questions look trivial, but three things trip up first-timers.
First, each participant’s four answers have to go up in order. If someone says $50 is a bargain, they can't then say $30 is too expensive. A generic form allows that contradiction through, so you end up spending time cleaning your data by hand, finding and removing those responses before you can analyse anything.
Second, every participant has to answer using the same currency and the billing unit (per month, per sear or per year). If they don’t, they’ll each answer based on very different assumptions, and that corrupts your data in a way that’s impossible to spot or fix afterwards.
Third, the price input can't be a fixed slider. You usually run Van Westendorp on new products with no reference price, so capping the range anchors people and defeats the point. An open-ended slider that expands as they scroll is what you want.
On OpinionX, the Van Westendorp question type enforces the ordering, shows the currency and billing unit right in the answer field (for example, “per month” or “per seat”), and uses an adaptive slider that participants can always type past. That way, none of these three become cleanup jobs. Our step-by-step guide to setting up a Van Westendorp survey on OpinionX walks you through every setting.
Collect responses. Sample size matters more for Van Westendorp than for many other survey methods, because the acceptable price range comes from where the four price lines interact. Thin data makes those lines spiky and easy for just a few outlier answers to swing, which you want to avoid. A common working minimum is at least 100 completed responses. If you plan to filter or segment your results to compare different groups of people, each customer segment should clear that threshold of 100 responses on its own. Our Van Westendorp sample size calculator goes into more detail, including how to plan ahead for segmentation analysis.
Read the results. If you run a Van Westendorp survey manually on a basic forms tool, this is by far the hardest step. You’ll have to export your responses to a CSV, clean your data, match it to a spreadsheet template, and rebuild the chart separately for every customer segment. If that’s the approach you want to take, read our guide to analysing Van Westendorp survey data in Google Sheets.
Most teams avoid running Van Westendorp on form tools because of how long this manual analysis takes. Instead, purpose-built research tools automate the setup, analysis and filtering, so you can see your results straight away. These tools, like OpinionX, plot answers onto the Van Westendorp chart in real time, label the optimal price, the indifference price and the two marginal points for you, and handle the personalised NMS questions automatically for each participant based on their answers.
Want someone to look over your Van Westendorp survey before you send it? Book a free 30-minute setup call and a research expert will go through your setup, currency and sample plan with you, no obligation.
Where does Van Westendorp pricing research get interesting?
The optimal price is the boring half. What most teams need is the optimal price for the customer segment they care about, and that almost never matches the overall figure.
Figuring out which customer segment will pay the most is something Van Westendorp is already designed to do. What you want to avoid is running a separate survey, or a separate round of manual analysis, for each customer segment. Instead, plan ahead so you can filter and compare results for different groups of participants within the same survey.
There are two ways to get that segment data into a Van Westendorp survey on OpinionX. The first is to add survey questions that ask for things like role, company size or industry. OpinionX automatically tags each participant with their answers, so you can filter your results by any of them in one click. The second is to import data you already have from your CRM or database, so you can use it during analysis without asking extra questions in your survey. Either way, you can then compare the optimal price for each customer segment side by side, for example by needs-based segment or by any customer attribute you've captured, rather than pricing to the blended average.
The worked example, with a real segment split and the sample-size maths behind it, is in how to segment Van Westendorp results.
What are the disadvantages of Van Westendorp, and when should you use something else?
A Van Westendorp survey is a strong fit when you're pricing a product, service or new feature that's easy to describe in a sentence, and you’re happy to work with an acceptable price range rather than one objective, de-risked price. It's quick, it's cheap, and it needs no statistician.
But it also has its limits. It doesn’t measure demand unless you add the NMS extension questions. Because it measures price perception for one product at a time, it ignores the competitive context a buyer weighs in real life when comparing several different options. Minor wording changes can sway Van Westendorp results considerably. It also relies on people imagining a purchase, so hypothetical bias can never be fully removed, even with the NMS extension included. And a thin or badly sampled study gives you results you can't trust.
There are three different scenarios where a different method is a better fit:
Pricing a bundled offer or a tiered plan, where changing the combination of features in the plan considerably changes how customers perceive the price. Instead of Van Westendorp, a conjoint analysis survey measures the importance of each feature and how much customers value different combinations.
Testing specific prices when you already have price range in mind, or a market reference point to start from. Gabor Granger asks participants whether they’d buy at each specific price, so it measures willingness to pay at each price point more directly, and gives you a more exact demand curve and revenue-maximising price. We’ve explained their differences in more detail in our guide: Van Westendorp vs Gabor Granger.
Pricing something whose value depends on context a survey can't convey, like enterprise software with a six-month rollout. Structured interviews or marginal willingness-to-pay studies, which work from real trade-offs, do better there.
When conjoint is the closer call, our guide Van Westendorp vs conjoint analysis walks through which one fits which pricing question.
Which tool should you use for a Van Westendorp survey?
You can run a Van Westendorp pricing survey three ways: a spreadsheet template, a generalist survey tool, or a purpose-built question type.
A spreadsheet is free and works, but every filter and segment is a manual rebuild.
Generalist survey tools like Qualtrics and SurveyMonkey can facilitate the four questions, but they don't enforce the answer ordering, give you an adaptive open-ended input, or draw the chart, so you're back to manual cleanup and a spreadsheet at the analysis stage, which you definitely want to avoid.
OpinionX runs Van Westendorp as a built-in question type: enforced answer ordering, an adaptive slider respondents can type past, the charts generated automatically as responses land, the Newton-Miller-Smith questions on a checkbox, and segmentation with a crosstab view from its Segments Tab. Van Westendorp works on the free tier at $0, capped at 25 participants per survey so you can pilot the design before paying; the Analyze plan is $900 a year for unlimited participants and researcher seats.
The head-to-head against the spreadsheet, the generalists and the specialist tools is in the best Van Westendorp survey tools compared.