Willingness to Pay (WTP)
The maximum amount a customer would pay for a product or feature, determined through research methods like surveys and experiments, used to optimize pricing for revenue maximization.
Willingness to pay varies dramatically across customer segments, often by 5-10x. Enterprise customers might willingly pay $500/month for the same product that SMBs would only pay $50/month for, because the value they derive differs by a similar magnitude. Understanding WTP across segments enables tiered pricing that captures value from each segment without leaving money on the table.
The primary research methods include Van Westendorp's Price Sensitivity Meter (asking four price threshold questions to find the acceptable range), Gabor-Granger (direct price questioning at different levels), and conjoint analysis (measuring trade-offs between features and price). Each method has strengths: Van Westendorp is quick and easy, Gabor-Granger gives precise demand curves, and conjoint reveals feature-level value that informs packaging decisions.
For growth teams, WTP research should be conducted before major pricing changes, when entering new market segments, and periodically (annually) to track market evolution. The insights go beyond just setting a number: WTP data reveals which features justify premium pricing, which customer segments are undermonetized, and how your pricing compares to the value customers perceive. This intelligence drives both pricing strategy and product roadmap prioritization.
Related Terms
Growth Loop
A self-reinforcing cycle where each cohort of users generates inputs (data, content, referrals) that attract the next cohort, creating compounding growth.
Churn
The rate at which customers stop using or paying for a product over a given period, typically measured as monthly or annual churn percentage.
Activation Rate
The percentage of new signups who complete a key action (the 'aha moment') that correlates with long-term retention and product value realization.
Product-Led Growth (PLG)
A go-to-market strategy where the product itself drives acquisition, activation, and expansion through self-serve experiences rather than sales-led motions.
Viral Coefficient (K-Factor)
The average number of new users each existing user brings to the product, where a K-factor above 1.0 indicates self-sustaining viral growth.
Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a period, including expansion, contraction, and churn — where 100%+ indicates growth without new customers.