Price Sensitivity Meter
Price Sensitivity Meter (PSM), also known as the Van Westendorp model, is a survey-based pricing research technique that identifies the acceptable price range for a product or service by asking four simple questions about price perception. It produces an optimal price point and a range of acceptable prices based on how consumers define “too cheap,” “cheap,” “expensive,” and “too expensive.”
What is the Price Sensitivity Meter?
The Van Westendorp Price Sensitivity Meter, developed by Dutch economist Peter Van Westendorp in 1976, uses four questions asked about a specific product or service:
- At what price would you consider this product to be so cheap that you would question its quality? (Too Cheap)
- At what price would you consider this product to be a bargain, a great buy for the money? (Cheap / Good Value)
- At what price would you consider this product to be getting expensive, but you would still consider buying it? (Expensive / High Side)
- At what price would this product be too expensive for you to consider? (Too Expensive)
Responses are plotted as cumulative frequency distributions. The four curves intersect at key price points:
- Point of Marginal Cheapness (PMC): Where “too cheap” intersects “expensive.” Below this price, more people doubt quality than find it expensive.
- Point of Marginal Expensiveness (PME): Where “too expensive” intersects “cheap.” Above this price, more people refuse to buy than see it as a bargain.
- Optimal Price Point (OPP): Where “too cheap” intersects “too expensive.” The price that minimizes extreme resistance from both directions.
- Indifference Price Point (IDP): Where “cheap” intersects “expensive.” The price where equal numbers find it cheap versus expensive.
The range between PMC and PME defines the acceptable price range. Pricing within this band minimizes the risk of being perceived as either low-quality or unaffordable.
Price Sensitivity Meter in Practice
Spotify used Van Westendorp research across 8 markets before setting its Premium price at $9.99/month in 2014. The PSM showed an optimal price point of $9.50 to $10.50 across the U.S., UK, and Western Europe, with the “too expensive” threshold at $14.99. When Spotify raised its price to $10.99 in 2023, the increase stayed within the original acceptable range, which helped limit subscriber churn to under 1%.
Dollar Shave Club conducted PSM analysis among 2,500 men before launching its $1/month starter plan. The “too cheap” threshold for razor blades was $0.50/month (below which men assumed poor quality), and the “good value” peak was at $3 to $5/month. The $1 entry point sat just above the quality-doubt threshold, creating a perception of exceptional value without triggering skepticism.
Adobe used the Price Sensitivity Meter when transitioning Creative Suite from perpetual licenses ($1,299 to $2,599 one-time) to Creative Cloud subscriptions in 2013. PSM research across 10,000 creative professionals identified $49.99/month as the optimal price point for the all-apps plan, with the acceptable range spanning $29.99 to $69.99. The final price of $52.99/month (later adjusted to $54.99) sat comfortably within the band.
Why Price Sensitivity Meter Matters for Marketers
The PSM gives pricing teams an empirically grounded range instead of guesswork. Most companies set prices based on cost-plus calculations or competitor matching, both of which ignore how consumers actually perceive value. The PSM captures the demand-side view.
The method is particularly useful for new product launches where no reference price exists. Without historical sales data to inform pricing, the PSM provides a research-based starting point that reduces the risk of pricing too high (killing trial) or too low (leaving revenue on the table and signaling low quality).
Because it requires only four questions, the PSM can be added to almost any survey without significantly increasing length. This makes it one of the most cost-effective pricing research methods available, typically adding less than $2,000 to a survey that is already being fielded.
Related Terms
FAQ
What is the difference between the Price Sensitivity Meter and conjoint analysis for pricing?
The PSM measures price perception in isolation: what feels cheap, fair, or expensive for a given product. Conjoint analysis measures willingness to pay in the context of product features and competitive alternatives. PSM is faster and cheaper but less precise. Conjoint provides more actionable pricing data but requires a larger survey and more complex analysis. Many companies use PSM for early-stage pricing exploration and conjoint for final price optimization.
What sample size does the Price Sensitivity Meter require?
A minimum of 100 respondents from the target market produces usable results. For segment-level analysis (comparing price sensitivity across age groups, income brackets, or usage levels), 200 to 300 respondents per segment is recommended. Most commercial PSM studies field 500 to 1,000 total respondents to ensure robust results across subgroups.
What are the limitations of the Price Sensitivity Meter?
The PSM measures stated price perception, not actual purchase behavior. Respondents often claim they would pay less than they actually would. The method does not account for competitive context, brand strength, or feature trade-offs. It works best for single products with clear category reference points and is less reliable for entirely new categories where consumers lack pricing anchors.
Can the Price Sensitivity Meter be used for B2B products?
Yes, though with modifications. B2B buyers often evaluate price in the context of ROI, contract terms, and total cost of ownership rather than as an absolute number. Framing the four PSM questions around annual contract value or per-user pricing (rather than total price) tends to produce more meaningful results. Sample sizes are typically smaller in B2B (50 to 200 respondents), requiring wider confidence intervals in interpretation.