VW

Van Westendorp Price Sensitivity Meter

The Price Sensitivity Meter (PSM) helps determine the psychologically acceptable range of prices for a single product or service. It is a frequently used pricing research method proposed by the economist Peter van Westendorp in the 1970s. It is particularly useful when:

  • You want to assess what price range the market considers to be fair for your product.
  • Your product is the only such product on the market or the number of competitive offerings is very large.
  • You need quick, directionally correct results.

Main outputs of Van Westendorp

Price Sensitivity Meter (PSM)

Price Sensitivity Meter (PSM)

The PSM is a chart of four lines with four intersections. The range between the leftmost intersection (of the lines “too cheap” and “expensive”) and the rightmost intersection (of the lines “cheap” and “too expensive”) is the psychologically acceptable range of prices.

For example, this chart suggests that the acceptable range of prices is $5 to $10, with the so-called "optimal" price of $6.75.

Price elasticity chart

Price elasticity chart

Conjoint.ly also provides Newton, Miller and Smith’s extension, which charts an approximated price elasticity of demand curve. The steeper the demand curve, the more price-sensitive customers are in relation to this product.

Revenue vs. price chart

Revenue vs. price chart

Newton, Miller and Smith’s extension also models the approximate “revenue vs. price” curve, identifying revenue-maximising price points.

For example, this chart below suggests that the revenue-maximising price is around $10.


How it works

In this methodology, Conjoint.ly will ask each respondent four questions on the perception of price, by asking at what prices respondents would consider the product:

  • “Priced so low that you would feel the quality couldn’t be very good?” – to determine the “too cheap” price.
  • “A bargain—a great buy for the money?” – to determine the “cheap” price.
  • Starting to get expensive, so that it is not out of the question, but you would have to give some thought to buying it?” – to determine the “expensive” price.
  • So expensive that you would not consider buying it?” – to determine the “too expensive” price.

The main output of the method is a chart of four intersecting lines. Each of these lines shows cumulative frequency for each of the four price levels across the respondents. The intersections of the four lines have the following interpretations:

  • Intersection of “too cheap” and “expensive” is considered the lower end of the range of reasonable prices. It is also called “point of marginal cheapness”, or PMC.
  • Intersection of “too cheap” and “too expensive” is called the “optimal price point”. This is the point at which an equal number of respondents describe the price as exceeding either their upper or lower limits. Optimal in this sense refers to the fact that there is an equal trade-off in extreme sensitivities to the price at both ends of the price spectrum.
  • Intersection of “cheap” and “expensive” is called the “normal price point” or the “indifference price point”. This price point refers to the price at which an equal number of respondents rate the price point as either “cheap” or “expensive”.
  • Intersection of “cheap” and “too expensive” is considered the upper end of the range of reasonable prices. It is also called “point of marginal expensiveness”, or PME. While in many pricing situations the theory that defines the “optimal” and “normal” price points is not compelling or applicable, the method does a reasonable job to help one understand the range of reasonable prices.

Even though the lines in the Price Sensitivity Meter chart look similar to elasticity curves, they are merely cumulative frequencies of responses, and do not show the amount of demand for any given price point. Newton, Miller and Smith proposed an extension to the PSM model, which helps address this issue.

This extension adds two 5-point scale questions that follow the Van Westendorp questions, asking about purchase likelihood at the prices the respondent has identified as “cheap” and “expensive”. This data allows us to construct (very approximate) elasticity curves and revenue charts.

Setting up on Conjoint.ly

There are a few things you will need to specify in Conjoint.ly for this type of experiment:

  • Whether you want to have a qualifying question (to screen out respondents who would not be in the market for this particular product). We recommend including this question.
  • Whether you want to customise the text of the four PSM questions.
  • The range of applicable prices for validation of responses. We strongly encourage you to keep it as wide as possible, and set the minimum at $0. For example, even if you are investigating FMCG goods that typically cost $4 per item, you should set the range of prices from $0 to $50.
  • Whether you want to enable Newton, Miller and Smith’s extension, which we also encourage you to do.

In Conjoint.ly, Van Westendorp questions are available both as:

  • A separate experiment, and
  • An additional question that can be added to conjoint, Gabor-Granger, or another survey.

You can add as many PSM exercises in a single experiment as you like.

Optimal pricing plan monthly subscription through Gabor-Granger: Question setup

Applications and limitations

The PSM is a great method to get exploratory results on the acceptable range of prices. It reveals attitudes people have about price points and where those attitudes might create hurdles that your company might have to overcome.

Because PSM is a “direct” pricing technique (where we ask respondents directly to name various prices), it is not appropriate in some situations, such as:

  • In the case of entirely new products, where people have not yet formed a view of reasonable prices.
  • In cases where there is in fact no such thing as “too cheap”. For example, add-ons to a software product can be priced at $0 and still be considered credible by virtue of paying for the main product.

PSM is often criticised as lacking solid theoretical foundation and history of predictive success (which is not the case for conjoint analysis, a more robust and proven method). In particular, we encourage you to consider the following:

  • PSM asks about price of a single product in isolation from other characteristics of the product and competitive brands.
  • Because it is a “direct” pricing technique, respondents are prone to underestimating the price levels they specify.
  • The “optimal” and “normal” price points do not necessarily optimise for profit, volume, or revenue.

Resolving confusion from original paper

There is, at times, confusion regarding the charting of PSM plots, which stems from an original paper by Peter van Westendorp (see Figure 5: NSS Price-sensitivity Measurement Electric Razors) , in which the author proposed to:

  • Use the inverse of "cheap" (i.e. "not cheap") instead of "expensive" curve
  • Use the inverse of "expensive" (i.e. "not expensive") instead of "cheap" curve

Van Westendorp Conjoint.ly Comparison Chart

Underneath the right-hand-side version of the plot, the following commentary was given:

At the point of marginal cheapness a price is given, where the number of people which experiences a product as “too cheap” is larger than the number which experiences it merely as cheap. Mutatis mutandis the same thing happens at the point of marginal expensiveness: the number of people experiencing the product as “too expensive” is larger than the number of those experiencing the product merely as expensive.

However, this commentary is incorrect because:

  • The point identified in the paper as "Point of Marginal Cheapness" does not represent the number of people which experiences a product as “too cheap” is larger than the number which experiences it merely as cheap. In fact, it represents the number of people who experience a product as “too cheap” is larger than the number who do not experience it merely as cheap;
  • Similarly, the incorrectly identified "Point of Marginal Expensiveness" does not represent the number of people experiencing the product as “too expensive” is larger than the number of those experiencing the product merely as expensive. Instead, it represents the number of people who experience a product as “too expensive” is larger than the number who do not experience it merely as expensive.

The effect of the inversions is to make the acceptable price range wider, diminishing its usefulness in practical applications. Needless to say, the inversions confuse an already complicated chart and make interpretation of the intersections murkier. Conjoint.ly therefore follows the more commonly accepted approach in the market research industry of using non-inverted cumulative frequencies lines. If you still have any questions about the interpretation and the use of correct lines, we will be happy to discuss your research with you.


Complete solution for pricing research

GC
Range optimisation
Features and claims

Generic Conjoint

Feature and claim selection and measuring willingness to pay for features for a single product.

BSC
Pricing research
Range optimisation

Brand-Specific Conjoint

Feature and claim selection and pricing in markets where product characteristics vary across brands, SKUs, or price tiers.

CT
Features and claims

Claims Test

Test pricing of new and existing consumer goods in a competitive context using elasticity charts, revenue, and profitability projections.

MD
Range optimisation
Features and claims

MaxDiff Analysis

MaxDiff analysis for robust ranking of flavours of your product by consumer preference; or usage occasions by frequency.

PVS
Range optimisation

Product Variant Selector

Feature and claim selection and pricing in markets where product characteristics vary across brands, SKUs, or price tiers.

BPTO
Pricing research

Brand-Price Trade-Off

Test pricing of new and existing consumer goods in a competitive context using elasticity charts, revenue, and profitability projections.

GG
Pricing research

Gabor-Granger Pricing Method

Determine price elasticity for a single product and identify revenue-maximising price level.

VW
Pricing research

Van Westendorp Price Sensitivity Meter

The Price Sensitivity Meter helps determine psychologically acceptable range of prices for a single product and approximately estimate price elasticity.

AB
Concept testing

A/B Test

Perform focussed comparisons between two items to determine which performs better.

MT
Concept testing

Monadic Test

Compare performance of concepts or products though focussed testing

PCT
Concept testing

Product Concept Test

Determine the best concepts through focussed testing

TURF
Range optimisation
Features and claims

TURF Analysis Simulator

Conduct automated TURF analysis on any dataset using Conjoint.ly’s user-friendly TURF analysis tool.

DIY

DIY Experimental Design

Allowing advanced choice modellers to upload their own experimental designs and perform data collection on Conjoint.ly.

FST

Free Survey Tool

Fully-functional online survey tool with various question types, logic, randomisation, and reporting for unlimited number of responses and surveys.