Van Westendorp vs Gabor-Granger for B2B SaaS

Choose the right B2B SaaS price-sensitivity method with a practical decision worksheet for range discovery, price testing and research limits.

Van Westendorp vs Gabor-Granger: the short answer

Use Van Westendorp to explore what respondents consider cheap, expensive and unacceptable. Use Gabor-Granger when you need stated purchase intent at preselected prices for one stable offer.

Neither method guarantees a market outcome. Neither replaces a realistic choice design when buyers must weigh price against packages, features or named competitors. This guide applies to B2B SaaS pricing, including per-seat, account and usage-linked models, only where the price metric stays constant.

Use the worksheet below to turn a live decision into a defensible method choice. For wider context, see Pricing Research for B2B SaaS: What to Charge.

Start with the pricing decision, not the method name

Name the decision before choosing a method. “Find the right price” is too broad to guide a study.

Decision to make	Suitable approach	Why
Establish an acceptable price range	Van Westendorp	Explores price perceptions without requiring a final candidate range
Compare specified prices for one offer	Gabor-Granger	Tests stated intent across researcher-defined prices
Choose bundles, features and price together	Conjoint or choice research	Captures trade-offs between offer components
Assess competitive switching or brand premium	Competitive choice research	Requires alternatives respondents can compare

Write a decision statement before fieldwork. Include the target buyer role, product concept, price metric, billing period, geography, currency and the decision the team will make from the result.

For example: “Decide which monthly per-user price to test for an established compliance workflow product among UK operations leaders at mid-market firms.”

Do not combine a seat price, platform fee, usage allowance and annual contract term in one direct price question. The commercial object changes between questions. Match the method to the decision using market research methods matched to decisions.

Choose Van Westendorp to explore price acceptability

The Van Westendorp price sensitivity meter asks four open-ended questions: at what price is an offer too cheap, cheap or good value, expensive, and too expensive? It analyses the cumulative distributions of those responses. The documented method description describes four open-ended price-perception questions.

Treat the output as an acceptability corridor and a set of perception thresholds. Chart intersections can support discussion, but they are not a precise revenue, profit or market-share optimum.

Use Van Westendorp when you have a defined concept and credible respondents but no defensible range for a new offer, tier or substantial repositioning. It can narrow an implausibly broad starting range before you test specific prices.

Keep the study disciplined:

Show a specific, comprehensible offer.
Hold one price metric and billing basis constant.
State whether the price includes implementation, support or usage.
Review invalid answer orderings, such as “too expensive” below “cheap”, and document how they were handled.

The method remains stated-preference research. It does not model feature trade-offs, competitive alternatives or negotiated procurement. Direct pricing questions also lack much of the competitive context that shapes real choices, a limitation discussed in Sawtooth Software’s pricing research guidance. Recruit people who can evaluate the product, using appropriate B2B buyer research methods.

Choose Gabor-Granger to compare candidate prices

The Gabor-Granger pricing method presents a stable offer at researcher-defined prices and records stated purchase intent. Results can be modelled as demand and revenue curves across the tested range. Qualtrics’ method overview describes this use of demand and revenue curves. The original Gabor and Granger work concerned techniques for examining consumer price willingness (ANA / ESOMAR).

Use it when you already have:

A stable offer;
One price metric;
A justified set of candidate prices; and
A decision genuinely about price rather than package composition.

The recommended point is conditional on the concept shown, respondents recruited, prices tested and stated-intent model used. It is not an observed-sales forecast. It cannot become a profit recommendation without explicit assumptions about costs, conversion, discounting and retention.

Question order matters. Sequential price questions may be biased by the starting point, according to Sawtooth Software’s discussion of direct pricing methods. Randomise or justify the order, and avoid testing prices that all sit clearly above or below likely acceptance.

Report the full curve, not only its peak. Show decision-relevant segments, exclusions, ordering, intent-to-demand assumptions and uncertainty. Pair findings with qualitative work on how buyers interpret value; UX research for B2B SaaS can test whether the concept itself is understood.

B2B SaaS constraints that can invalidate a tidy answer

B2B SaaS pricing decisions often involve more than one buyer’s reaction to a number. Recruit people who can credibly assess the offer and record whether they use, influence, recommend or approve it.

Hold the commercial object constant. Clarify list price, expected discount, annual commitment, implementation cost, price metric and renewal context. Neither direct method models all these variables at once.

Be cautious where the category is unfamiliar, product scope is changing, procurement is negotiated, competitors are named or packages have several tiers. A direct stated-price answer may still be useful input, but it is weaker decision evidence in these circumstances.

Escalate to conjoint or competitive choice research when respondents must trade off features, package architecture or competitors. TRC Market Research similarly positions Gabor-Granger for a one-product decision rather than feature or competitive trade-offs (source). Use observed-market evidence and qualitative follow-up to challenge survey assumptions. For package decisions, see Conjoint Analysis for Feature Prioritisation & Pricing.

Use the B2B SaaS method-selection worksheet

Copy this worksheet into your research brief. Complete it with product, finance and sales stakeholders. Reject ambiguous inputs before selecting a method.

Field	Your answer
Decision to make
Offer and price metric held constant
Buyer/respondent
Product maturity
Known credible price range
Required output
Competitive or package trade-offs
Decision consequence
Final recommendation: Van Westendorp, Gabor-Granger, sequential use, or escalate to conjoint/choice research
Validation step

Illustrative completed example — hypothetical

Field	Illustrative answer
Decision to make	Rank approved candidate prices for one established plan
Offer and price metric held constant	Workflow tool; fixed monthly per-user price
Buyer/respondent	Operations leaders who use or approve the tool
Product maturity	Established single-plan offer
Known credible price range	Several management-approved candidate prices
Required output	Stated-intent and revenue ranking across those prices
Competitive or package trade-offs	No package redesign in this decision
Decision consequence	Price selected for a controlled commercial test
Final recommendation	Gabor-Granger
Validation step	Compare post-launch conversion, discounting and buyer feedback with study assumptions

This hypothetical example makes no claim about sample size, uplift, revenue or a client result.

Use these branches as a quick check:

A new tier with no credible candidate range: begin with Van Westendorp, then consider Gabor-Granger if a stable range emerges.
A redesign involving features, tiers and price: escalate to conjoint or choice research rather than relying on either direct method alone.

Pre-register what result would change the decision. Record whether the team would reject a price, test it commercially or seek further evidence. Review assumptions before launch, then connect the work to an ongoing Voice of Customer Program for B2B SaaS: A Framework.

Turn the result into a safer pricing decision

A useful pricing report states:

Who responded and their role in the buying group;
The concept shown;
Price metric and billing period;
Prices or range tested;
Method sequence and question order;
Exclusions and data-treatment rules;
Full curve or perception thresholds;
Limitations; and
The resulting decision recommendation.

Triangulate survey findings with buyer language, sales and win-loss evidence, and relevant churn signals. This tests assumptions; it does not prove that price caused an outcome. See Win-Loss Analysis for B2B SaaS: A Practical Guide and Churn Research for SaaS.

Choose the method that matches the decision. Escalate when the decision asks buyers to make trade-offs the survey never presented.

Frequently asked questions

What is the main difference between Van Westendorp and Gabor-Granger?

Van Westendorp captures four open-ended price perceptions to explore acceptability. Gabor-Granger asks about specified prices to create a stated-intent demand and revenue curve for one offer.

Should a B2B SaaS team run Van Westendorp or Gabor-Granger first?

Start with Van Westendorp when a credible test range is unknown. Use Gabor-Granger when candidate prices and a stable price metric already exist. Sequential use still requires careful interpretation because both methods rely on stated preferences.

Can Gabor-Granger price a SaaS package with several feature tiers?

Not reliably as a standalone answer when the decision requires feature, tier or competitor trade-offs. Hold one offer constant, or use conjoint or choice research designed for that broader decision.

Do these methods predict actual B2B SaaS revenue?

No. They provide survey-based stated-price evidence. Any revenue model should disclose its assumptions and be checked against other evidence and post-launch behaviour.

About Glasgow Research — Glasgow Research helps B2B SaaS teams turn customer and market research into product decisions. Work with us.