How to Calculate Willingness to Pay
Willingness to pay (WTP) is the maximum amount a customer would pay for your product before choosing an alternative. Understanding it lets you price to capture maximum value.
Key Takeaways
- WTP is not a fixed number — it varies by customer segment, use case, and context
- Three practical methods: Van Westendorp survey, Gabor-Granger method, and conjoint analysis
- WTP research reveals the acceptable price range — from the threshold where customers question value to the point where they walk away
- Your optimal price is typically at or slightly below the upper bound of the acceptable range for your target segment
Why WTP matters for pricing
Most businesses price based on costs, competitors, or gut feel. WTP research gives you the customer's perspective — how much would they actually pay, and at what price point does the deal break down? Without this data, you are guessing. WTP research typically reveals that businesses are leaving significant money on the table (they could charge more) or that a specific customer segment values the product far more than the current pricing reflects.
The Van Westendorp method
The Van Westendorp Price Sensitivity Meter is a four-question survey: At what price would you consider this product too cheap (raising doubts about quality)? At what price would it be a bargain — good value for money? At what price would it start to feel expensive, but still worth considering? At what price is it too expensive — you would not buy it? Plot the responses as cumulative distribution curves. The intersection of the 'too cheap' and 'too expensive' curves defines the acceptable price range. The intersection of 'cheap/bargain' and 'expensive' curves defines the optimal price point.
The Gabor-Granger method
Gabor-Granger is simpler: present a series of prices in random order and ask 'would you buy at this price?' for each. Plot purchase intent against price. The resulting demand curve shows you how purchase probability falls as price rises — and lets you calculate the revenue-maximising price (price × estimated demand). It is less nuanced than Van Westendorp but quicker to run and easier to interpret.
Conjoint analysis
Conjoint analysis is the most rigorous method. It presents respondents with hypothetical product profiles (combinations of features, prices, and attributes) and asks them to choose between them. Statistical analysis of these choices reveals how much each feature contributes to overall value and how price trades off against features. This is the method used by large consumer goods companies to design product lines and pricing architecture. Tools like SurveyMonkey Conjoint, Qualtrics, or specialist research agencies can run conjoint studies for SMEs.