{"site":{"name":"Koji","description":"AI-native customer research platform that helps teams conduct, analyze, and synthesize customer interviews at scale.","url":"https://www.koji.so","contentTypes":["blog","documentation"],"lastUpdated":"2026-11-01T10:13:59.992Z"},"content":[{"type":"blog","id":"b45b1db2-77d0-41ce-ae3a-59b3185f167f","slug":"price-testing-methods-for-startups-compared","title":"Ways to Test Your Pricing as a Startup, Compared (2026)","url":"https://www.koji.so/blog/price-testing-methods-for-startups-compared","summary":"Startups can test pricing seven ways: founder conversations, surveys using Van Westendorp or Gabor-Granger, AI interview price tests, fake doors on the pricing page, commitment tests such as prepayment or letters of intent, live A/B price tests and pricing consultants. Stated willingness to pay overstates real willingness by about 21% on average (Schmidt and Bijmolt, 2020), so cheap stated-intent routes should narrow the range and behaviour-based routes should confirm it. A practical sequence: talk to 10 to 15 buyers, run a price test with about 30 target buyers, check it with a commitment, then change the price and watch the next cohort. Koji runs a Gabor-Granger price test inside AI interviews and asks why after each answer.","content":"If you are a startup trying to find what to charge, there are seven ways to test a price, and they answer different questions. The order that works for most early teams is: run a structured price test in interviews with about 30 target buyers to find the range and the reasons, check the answer with a commitment test (a prepayment, a letter of intent or a paid pilot), and only then change the live price and watch what happens. Surveys, live A/B price tests and pricing consultants each have a place, but rarely as the first step.\n\nThis guide compares every route on what it tells you, how long it takes, what it costs and where it misleads, so you can pick the one that fits your stage this week.\n\n## Why the price deserves a test at all\n\nPrice is the lever founders touch least and the one that moves profit most. In a McKinsey Quarterly analysis of a typical S&P 1500 company, Michael Marn, Eric Roegner and Craig Zawada showed that a 1% price increase, with volume held steady, lifted operating profit by 8% ([The Power of Pricing, McKinsey Quarterly, 2003](https://leeds-faculty.colorado.edu/ysun/MKTG4825_files/The%20Power%20of%20Pricing-1.pdf)). A startup's numbers are smaller and noisier, but the logic holds: a price that is too low is a cost you pay on every sale, forever.\n\nThe problem is that the cheapest ways to learn a price are also the least reliable. People are bad at predicting what they would pay.\n\n- A meta-analysis by Jonas Schmidt and Tammo Bijmolt pooled 115 effect sizes from 77 studies and found that hypothetical willingness to pay ran about **21% above** real willingness to pay on average, with a bigger gap for higher-priced and specialty products ([Journal of the Academy of Marketing Science, 2020](https://cris-portal.uni-muenster.de/portal/en/publication/60727941)).\n- An earlier meta-analysis by James Murphy and colleagues across 28 stated-preference studies found a median ratio of hypothetical to actual value of **1.35** (Murphy, Allen, Stevens and Weatherhead, *A Meta-analysis of Hypothetical Bias in Stated Preference Valuation*, Environmental and Resource Economics, 2005).\n\nSo every route below sits somewhere between \"cheap, fast and what people say\" and \"slow, costly and what people do\". The skill is using the cheap routes to narrow the range and the expensive ones to confirm it.\n\n## The seven routes at a glance\n\n| Route | What you learn | Time to an answer | Relative cost | Watch out for |\n|---|---|---|---|---|\n| Founder pricing conversations | Rough reactions and objections | Days | Low | Politeness and anchoring on your first number |\n| Survey with Van Westendorp or Gabor-Granger | A price range or a demand curve | 1 to 2 weeks | Low to medium | No reasons unless you add open questions |\n| AI interview price test | A demand curve plus the reason behind each answer | Days | Low | Still stated intent, so it overstates |\n| Fake door on the pricing page | Who clicks \"buy\" at a given price | 1 to 4 weeks | Low | Needs traffic, and annoys people if handled badly |\n| Prepayment, letter of intent or paid pilot | Who commits money or a signature | 2 to 8 weeks | Medium | Small numbers, and only from warm leads |\n| Live A/B price test | Real conversion and revenue at each price | Weeks to months | Medium to high | Needs volume, and customers compare notes |\n| Pricing consultant or agency | A full study with large samples | Weeks | High | Cost, and a report you may not be able to rerun |\n\n![Table comparing seven ways a startup can test pricing, from founder conversations to live A/B price tests, by what you learn, time, cost and risk.](/visuals/startup-price-testing-routes-compared/startup-price-testing-routes-compared.png \"Use the cheap routes to narrow the range and the slow ones to confirm it\")\n\n## 1. Founder pricing conversations\n\n**Who it is for:** idea-stage founders with no product and a handful of people to talk to.\n\n![A founder talking with a potential customer over coffee, the kind of early conversation where pricing reactions first come up](https://images.unsplash.com/photo-1640037984424-ac1a02cb742a?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3w5NDUzMDN8MHwxfHNlYXJjaHw5fHx0d28lMjBwZW9wbGUlMjBjb2ZmZWUlMjBtZWV0aW5nJTIwY29udmVyc2F0aW9ufGVufDF8MHx8fDE3OTM1MTU4MTF8MA&ixlib=rb-4.1.0&q=80&w=1080)\n\n_Photo by [CURVD®](https://unsplash.com/@curvd?utm_source=koji&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=koji&utm_medium=referral)_\n\nYou ask buyers what they pay today for the problem, what a solution would be worth and how they would get it approved. It is free and fast, and you hear the language buyers use about money. It is also where most pricing mistakes start. Asking \"would you pay €50 for this?\" invites a polite yes, and the first number you say becomes the anchor for the rest of the call.\n\nMake these conversations useful by asking about past behaviour (what they bought, what it cost, who signed off) instead of future intent, and by leaving the number for the end. Our [pricing research interviews guide](/docs/pricing-research-interviews) has the full question set.\n\n## 2. A survey with Van Westendorp or Gabor-Granger\n\n**Who it is for:** teams with a list or panel of a few hundred people who want a number they can chart.\n\nThe two classic survey methods answer different questions. Van Westendorp's price sensitivity meter asks four questions (too cheap, a bargain, getting expensive, too expensive) and gives an acceptable range. Gabor-Granger shows a set of prices and asks about purchase intent at each, which gives a demand curve and the price that earns the most. Our [comparison of the two methods](/blog/gabor-granger-vs-van-westendorp) covers which to use when, and the method references are at [/docs/van-westendorp-price-sensitivity-meter](/docs/van-westendorp-price-sensitivity-meter) and [/docs/gabor-granger-pricing-method](/docs/gabor-granger-pricing-method).\n\nMost survey tools can run them. SurveyMonkey, for example, sells a price optimisation solution built on Van Westendorp with the four questions set up for you ([SurveyMonkey](https://www.surveymonkey.com/learn/market-research/gabor-granger-vs-van-westendorp/)). Gabor-Granger in a general survey tool usually means building the price branching yourself and computing revenue per price in a spreadsheet afterwards.\n\nThe weakness is the missing why. A curve that drops sharply between €40 and €60 tells you where people stop, not whether it is the price, the value or a budget threshold. Add at least one open question after the price block, and expect short answers.\n\n## 3. An AI interview price test\n\n**Who it is for:** early-stage and scale-up teams who want the curve and the reasons in the same study, without writing branching logic.\n\nHere the price questions sit inside a conversation. The participant rates purchase intent at one price at a time, the interviewer moves up or down the ladder by rule, and then asks why in their own words. You get a curve and the reasoning behind each point from the same people.\n\nKoji runs this as a question type, Price Test (Gabor-Granger):\n\n- You enter 3 to 10 prices (5 to 7, evenly spaced, is the recommended range), a currency and an optional unit such as \"per month\", and choose which answer counts as a buy. The default is \"Probably would buy\" or higher on a 5-point purchase-intent scale.\n- Each person starts at a random price near the middle of the ladder, so nobody anchors on the cheapest one, and Koji usually finds the highest price they would still buy at in about three steps. Then it asks why.\n- The report shows the share who would buy at each price, the revenue each price implies and the price that earns the most, with the quotes behind each point. It is labelled directional, because it is stated intent, and the best price is always one of the prices you tested.\n- It reads best from about 30 interviews and works in text and voice interviews, not phone calls. The prices lock once responses come in.\n\nKoji is not alone here. Conveo also runs Van Westendorp and Gabor-Granger inside its AI-moderated interviews ([Conveo changelog](https://conveo.ai/changelog/conveo-price-testing)). What Koji adds is that anyone can set one up from a free account, next to every other kind of question, and read the reasons behind every answer in one report. Setup steps are in [Set up a price test in Koji](/docs/price-test-setup-guide), and [choosing the prices to test](/docs/how-many-prices-to-test-price-ladder) covers ladder design.\n\n![Koji question editor showing open ended, scale and single choice questions with follow-up settings](/email/shots/shot-question-types.jpg \"A price test sits in the same question list as your open and choice questions\")\n\nThe limit is the same as any survey: it measures what people say. Read the curve as a range to confirm, not a price to ship.\n\n## 4. A fake door on the pricing page\n\n**Who it is for:** products that already have a few thousand visitors a month.\n\nYou show a price (or a new tier) on the pricing page, count who clicks \"buy\" or \"start trial\", and explain on the next screen that it is not available yet. It measures behaviour, which is a real step up from stated intent. It needs enough traffic to see a difference between prices, and it costs some goodwill if the \"not yet\" screen is clumsy. Offer something real on that screen, such as early access or a call. Our [fake door testing guide](/docs/fake-door-testing-guide) covers the ethics and the setup.\n\n## 5. Commitment tests: prepayment, letters of intent and pilots\n\n**Who it is for:** B2B founders with warm leads, and anyone selling something expensive.\n\n![Two people shaking hands over a signed document, the moment a buyer turns a stated price into a real commitment](https://images.unsplash.com/photo-1681505531034-8d67054e07f6?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=M3w5NDUzMDN8MHwxfHNlYXJjaHwzfHxidXNpbmVzcyUyMGhhbmRzaGFrZSUyMHNpZ25pbmclMjBjb250cmFjdHxlbnwxfDB8fHwxNzkzNTE1ODEwfDA&ixlib=rb-4.1.0&q=80&w=1080)\n\n_Photo by [Amina Atar](https://unsplash.com/@minaslens?utm_source=koji&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=koji&utm_medium=referral)_\n\nAsk for money or a signature at the price you think is right. A prepayment, a refundable deposit, a letter of intent with a price in it or a paid pilot all turn \"I would pay\" into \"I did\". This is the strongest evidence a startup can get before launch, and the most useful check on an interview price test: if 60% of interviewees said they would buy at €79 and nobody will sign at €79, the gap is your answer.\n\nThe catch is scale. You will get a handful of data points, all from people who already like you. Use it to confirm a price, not to find one.\n\n## 6. A live A/B price test\n\n**Who it is for:** scale-ups with enough sign-ups to split.\n\nShow different prices to different visitors and compare conversion and revenue. It is the most direct measure there is, and the hardest to run well. You need volume to reach a clear result, customers who find out they paid more than someone else will tell you about it, and in some markets showing different prices to similar buyers raises legal and trust questions. Many teams run sequential tests instead (one price for a month, then another) and accept the noise.\n\n## 7. A pricing consultant or research agency\n\n**Who it is for:** companies facing a big pricing change, a new market or a board-level decision.\n\nA specialist will run conjoint studies, large samples and segment analysis you cannot do alone. It is the right call when the stakes justify weeks and a substantial quote. For a startup setting its first price, it is usually more study than the decision needs, and you get a report you cannot easily rerun next quarter.\n\n## Which route when: a sequence that works\n\nFor most startups, the routes stack instead of competing:\n\n1. **Narrow the range in conversation.** Talk to 10 to 15 buyers about what they pay today and how they buy.\n2. **Run a price test with about 30 target buyers.** Use a 5 to 7 price ladder around the range you heard, and read both the curve and the reasons.\n3. **Check it with a commitment.** Ask a few warm leads to prepay, sign or start a paid pilot at the price the test points to.\n4. **Ship it and watch.** Change the price for new customers and track conversion and churn for the next cohort.\n\n![Process showing four steps for startup price testing: narrow the range in conversation, run a price test, check with a commitment, then ship and watch.](/visuals/startup-price-testing-sequence/startup-price-testing-sequence.png \"Each step checks the one before it, from what people say to what they do\")\n\nBy stage:\n\n- **Idea stage:** steps 1 and 2, then a letter of intent or deposit before you build.\n- **Early stage, first customers:** steps 2 and 3, using your own users and lost deals. Interview churned and lost prospects too, since they are the ones the price stopped.\n- **Scale-up:** steps 2, 3 and 4, plus a live test if you have the volume. Bring in a specialist for a large repricing.\n\n## Mistakes that make a price test lie\n\n- **Testing a price without the product.** If people do not understand what they are buying, the curve measures confusion. Describe the product, or show it, before the first price.\n- **A ladder that is too narrow.** If everyone buys at your highest price, you did not test high enough. If nobody buys at your lowest, start lower.\n- **Asking the wrong people.** Thirty friendly users will all say yes. Recruit people who match the buyer, including some who chose a competitor.\n- **Treating the top of the curve as the answer.** It is the best of the prices you tested, under stated intent. Confirm it with behaviour.\n- **Skipping the why.** Two prices with the same buy rate can fail for opposite reasons (no budget versus no value). The reasons tell you whether to change the price or the product.\n\n## Try a price test this week\n\nIf you have a rough range and 30 buyers you can reach, you can run step 2 today. In Koji, add a Price Test (Gabor-Granger) question to a study, enter 5 to 7 prices around your range, add an open question about how they decide, and share the link with your own users or recruit from the panel. The report shows where buyers drop off and what they said at each price. [Start free on Koji](https://www.koji.so) and set up your first price test, then take the winning price to a few warm leads before you change the page.\n","category":"Comparisons","lastModified":"2026-11-01T07:20:15.189385+00:00","metaTitle":"Price Testing for Startups: 7 Methods Compared (2026)","metaDescription":"Compare 7 ways to test pricing as a startup: interviews, surveys, AI price tests, fake doors, prepayment, A/B tests and consultants. Cost, time and limits.","keywords":["price testing for startups","how to test pricing","price testing methods","startup pricing research","willingness to pay","gabor-granger","van westendorp","fake door test"],"aiSummary":"Startups can test pricing seven ways: founder conversations, surveys using Van Westendorp or Gabor-Granger, AI interview price tests, fake doors on the pricing page, commitment tests such as prepayment or letters of intent, live A/B price tests and pricing consultants. Stated willingness to pay overstates real willingness by about 21% on average (Schmidt and Bijmolt, 2020), so cheap stated-intent routes should narrow the range and behaviour-based routes should confirm it. A practical sequence: talk to 10 to 15 buyers, run a price test with about 30 target buyers, check it with a commitment, then change the price and watch the next cohort. Koji runs a Gabor-Granger price test inside AI interviews and asks why after each answer.","aiKeywords":["price testing","startup pricing","willingness to pay","Gabor-Granger","Van Westendorp","fake door test","price test tools","hypothetical bias"],"aiContentType":"comparison","faqItems":[{"answer":"Use more than one route. Start with conversations and a structured price test of about 30 target buyers to find the range and the reasons, then check it with a commitment such as a prepayment, letter of intent or paid pilot before you change the live price.","question":"What is the best way for a startup to test pricing?"},{"answer":"They overstate. A 2020 meta-analysis of 77 studies by Schmidt and Bijmolt found hypothetical willingness to pay ran about 21% above real willingness to pay on average, more for expensive and specialty products. Treat survey and interview results as a range to confirm with behaviour.","question":"How accurate are willingness-to-pay surveys?"},{"answer":"Van Westendorp gives an acceptable price range and suits early products with no target price. Gabor-Granger gives a demand curve and the revenue-maximising price among the prices you test. Many teams run Van Westendorp first, then Gabor-Granger around the range it finds.","question":"Should I use Van Westendorp or Gabor-Granger?"},{"answer":"About 30 interviews is enough to see the shape of a Gabor-Granger curve and hear the reasons behind it. Below that, treat the curve as noisy. Survey-based studies that need precise numbers by segment need hundreds.","question":"How many people do I need for a price test?"},{"answer":"Usually not as a first step. It needs enough sign-ups to reach a clear result, customers may find out they paid different prices, and some markets have rules on showing different prices to similar buyers. Sequential tests or commitment tests are easier early on.","question":"Is an A/B price test a good idea for an early-stage startup?"}],"relatedTopics":["pricing research","willingness to pay","price testing","Gabor-Granger","Van Westendorp","startup pricing"]}],"pagination":{"total":1,"returned":1,"offset":0}}