WTP Survey

Analyze willingness‑to‑pay (WTP) responses to derive pricing corridors. Paste a list of prices to see mean, median, and the interquartile range (25th–75th percentile) that suggests a robust target band.

Using the band

The interquartile range is a robust central band for pricing; test points within it against differentiated value.

What is WTP?

Willingness‑to‑pay (WTP) is the maximum price a customer is willing to pay for perceived value. Survey responses help approximate price sensitivity and inform tiering.

How to use this tool

Paste a list of WTP values (comma or space‑separated). The tool calculates mean, median, and the 25th–75th percentile band to guide target pricing.

Why it matters

WTP distribution highlights segments and pricing corridors. Pricing within the interquartile band reduces churn risk from overpricing and avoids leaving money on the table from underpricing.

Example

For responses [20, 25, 30, 40, 45, 50, 55, 60], mean is ~$40.6, median $42.5, and the recommended band ~$30–$55.

Assumptions & limitations

Surveys can suffer bias. Combine WTP with observed behavior (trials, upgrades) and revisit as value evolves.

Methodologies

Van Westendorp (too cheap/cheap/expensive/too expensive), Gabor‑Granger discrete choice, and conjoint analysis help estimate WTP and sensitivity across features and price levels.

Sampling & bias

Use representative samples, avoid leading questions, and watch for outliers. Consider trimming extremes and bootstrapping to stabilize estimates.

From survey to pricing

Use the interquartile band as a corridor, then test prices against actual behavior. Segment by persona to tailor tiers and price fences.