Gabor-Granger pricing: test demand before choosing a price point

Gabor-Granger is a pricing survey method that asks whether someone would buy at several predefined prices. The answers help you compare estimated demand and revenue across those prices. It is useful evidence—not a promise of what people will do at checkout.

What is the Gabor-Granger pricing method?

Gabor-Granger is a form of direct pricing research. You describe a product clearly, present a realistic price, and ask whether the person would buy. The survey then tests other prices from a price ladder.

When you group the answers, you can estimate the share of respondents willing to buy at each price. That produces a demand curve based on stated intent. Multiplying each price by its acceptance rate gives a revenue index that makes the tested prices easier to compare.

The word estimated matters. A survey has no payment, budget approval, or competitive pressure. Use the result to reduce uncertainty, then validate it with real conversion and retention data.

How a Gabor-Granger study works

1. Describe one clear offer. Explain what is included, who it is for, and whether the price is monthly, annual, or one-off.
2. Choose a realistic price ladder. Include the values the team could genuinely launch. Prices should be far enough apart to reveal a change in intent.
3. Ask the same purchase question. Keep the product and wording stable so that price is the main thing changing.
4. Calculate acceptance at each price. Depending on the survey design, respondents may see several prices or follow an adaptive path based on earlier answers.
5. Compare demand, revenue, and segments. Read the survey result alongside margin, positioning, and observed customer behavior.

Decide the sample size from the precision and segment comparisons you need. A small directional study can expose a large effect, but narrow differences and subgroup decisions need more responses. Record who was invited, who answered, and what product context they saw.

A simple Gabor-Granger example

Imagine 200 qualified respondents evaluate the same monthly plan. The values below are illustrative, not a benchmark for another product.

In this sample, $30 has the highest revenue index. That does not make it an automatic launch price. A team seeking adoption may prefer $20. A premium product may need a higher price to support its position and service costs. The table makes the trade-off visible; it does not make the business decision for you.

How to interpret Gabor-Granger results

Read the shape, not only the peak

A sharp drop between two prices suggests a meaningful sensitivity point. A flat curve suggests the tested prices may be too close together, or that price matters less than another part of the offer.

Compare segments before averaging them

Company size, use case, role, and current plan can produce different curves. Only compare groups that had enough relevant responses, and avoid presenting an unstable subgroup as a firm conclusion.

Check for inconsistent answers

Purchase intent should generally fall as price rises. Responses that do the opposite may reflect misunderstanding, inattentive answering, or random variation. Set and document a rule for handling them before looking for the result you want.

Validate with behavior

After launch, compare the estimate with checkout completion, trial-to-paid conversion, expansion, refunds, and churn. Real behavior is the stronger signal and should update the earlier survey conclusion.

When should you use Gabor-Granger?

Use it when you already have a clear offer and a manageable set of prices. It is especially useful before a launch, a price change, or a new plan—provided respondents understand the product and could realistically buy it.

Choose a different or complementary method when:

• you need to discover an acceptable range first—use the Van Westendorp Price Sensitivity Meter;
• features, packaging, and price must be traded together—consider conjoint analysis;
• the offer is still vague—do qualitative discovery before asking for a price; or
• you can safely run a real-market pricing experiment—observed behavior is more direct than stated intent.

Common mistakes that weaken the result

• Testing people outside the market. Price opinions from people who would never buy the product do not describe customer demand.
• Changing the offer between prices. If product context moves too, you cannot tell which change caused the response.
• Using an unrealistic ladder. A narrow ladder hides sensitivity; an implausible one asks respondents to imagine choices they would never face.
• Calling intent “demand”. Report that the curve is based on survey responses, and state the sample and field dates.
• Optimizing revenue without costs. Revenue index is not profit. Include support, acquisition, payment, and delivery costs.

How to run a Gabor-Granger study with SenseFolks

PricePoint supports Gabor-Granger and Van Westendorp pricing surveys. Keep the research plan beside the software setup: define the audience, offer, decision, price ladder, and analysis rules before collecting answers.

1. Add the website where the survey will appear.
2. Create a PricePoint survey and choose Gabor-Granger.
3. Enter one clear product context and your candidate prices.
4. Place the survey where qualified people are considering the offer.
5. Review acceptance and revenue estimates, then compare meaningful segments.
6. Record the decision and validate it with live commercial data.

For implementation details, read the PricePoint reference. For survey timing and placement, see the guide to in-product micro-surveys.

Gabor-Granger questions, answered