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FinanceAlex Hormozi

Van Westendorp Price-Sensitivity Analysis

Use four customer questions to locate credible and profitable price ranges.

Difficulty
Moderate
Time to result
~weeks to results
Steps
6
Confidence
99%

The Van Westendorp analysis asks prospective customers four prices: too expensive to consider, so cheap it seems unable to deliver value, expensive but still worth considering, and a bargain. Plotting the response distributions reveals points such as marginal cheapness and excessive expense, defining a credible pricing range. The business can then estimate where purchase volume or total revenue may be maximized, incorporating gross margin and sales friction. Collecting customer attributes allows the curves to be segmented; two peaks may indicate distinct markets with different willingness to pay. The method provides a disciplined initial price, but behavioral testing should follow because survey answers remain stated preferences rather than completed transactions.

Origin

Hormozi describes using this 1970s pricing method for most new offers and notes that modern AI can quickly process the survey data.

Core principles

  • 01Price can be too low to appear credible.
  • 02Customer willingness sets price more reliably than founder deservingness.
  • 03Pricing exists within a range rather than at one self-evident point.
  • 04Different customer segments may produce distinct pricing curves.
  • 05Volume-maximizing and revenue-maximizing prices may differ.

How to run it

  1. 1

    Define the offer consistently

    Give every respondent the same clear description of the outcome and delivery so price answers refer to the same product.

    Pro tip Include enough detail for respondents to assess value realistically.

    Watch out Changing the offer description contaminates comparisons.

  2. 2

    Ask the four prices

    Collect thresholds for too expensive, suspiciously cheap, expensive but considerable, and bargain pricing.

    Pro tip Ask for numeric amounts rather than broad ranges.

    Watch out Do not lead respondents toward your preferred price.

  3. 3

    Capture segment data

    Record attributes such as income, company size, industry, or use case that may affect willingness to pay.

    Pro tip Choose attributes tied to actual buying power and need.

    Watch out Avoid collecting irrelevant personal data.

  4. 4

    Plot the curves

    Graph cumulative response distributions and locate the key intersections defining acceptable pricing.

    Pro tip Use software to calculate intersections consistently.

    Watch out An undersized sample can produce unstable curves.

  5. 5

    Model commercial outcomes

    Compare expected volume, revenue, margin, and sales friction at candidate prices inside the range.

    Pro tip Distinguish the price that maximizes units from the one that maximizes profit.

    Watch out Revenue optimization without margin can destroy economics.

  6. 6

    Segment and validate

    Inspect subgroup curves and test the selected price with real purchasing behavior.

    Pro tip A double-peaked distribution may indicate two customer markets.

    Watch out Do not treat survey intent as final proof.

In the wild

Pricing a new shampoo

A brand surveys target buyers using the four questions, plots their thresholds, and finds the range below which quality becomes unbelievable and above which consideration collapses. It then combines expected volume with gross margin to choose an initial shelf price.

The launch price is grounded in customer perception and commercial economics.

Common mistakes

Pricing from personal deservingness

The founder bases the number on self-worth rather than what customers will pay for the outcome.

Ignoring suspiciously low prices

The business assumes cheaper is always better even when low pricing signals inadequate quality.

Averaging distinct customers

Combining materially different segments can hide separate willingness-to-pay curves.

Is it for you?

Best for

Businesses preparing to launch or reprice an offer with access to a relevant prospect sample.

Not ideal for

Tiny samples, respondents unlike actual buyers, or markets where stated willingness differs radically from purchasing behavior.

From the transcript

Number one, at what price would this be so expensive that you wouldn't even consider it?

Alex Hormozi · 1:30:01

Number two, at what price would this be so cheap that it would be impossible that it would be able to be valuable?

Alex Hormozi · 1:30:29

And then at what price would it be a bargain, a good deal?

Alex Hormozi · 1:30:29

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