We use three key techniques to derive the ideal product price. Triangulating is very important in pricing studies due to stakeholders' tendency to underestimate their true willingness to pay for different products.
Unaided price expectations
The Price Sensitivity Meter (PSM), was developed by economist Peter Van Westendorp to understand consumer’s willingness to pay. It is based on the theory that consumers have an idea about what reasonable price they are willing to pay for a product and that consumers are willing to pay more for a high-quality product.
This method can be incorporated into a quantitative study with the following 4 questions which are asked in order to conduct this analysis:
- At what price would you consider the product to be getting expensive, but you would still consider buying it? (EXPENSIVE)
- At what price would you consider the product too expensive and you would not consider buying it? (TOO EXPENSIVE)
- At what price would you consider the product to be getting inexpensive, and you would consider it to be a bargain? (BARGAIN)
- At what price would you consider the product to be so inexpensive that you would doubt its quality and would not consider buying it? (TOO CHEAP)
Acceptable and recommended price ranges are then developed based on where the “expensive”, “too expensive”, “bargain” and “too cheap” curves cross. An example of this is shown on the right.
Price sensitivity curves, using Monadic Price Laddering exercises
This is usually conducted by providing respondents with approximately 5 pre-determined price points in a random order. For each price point, respondents are then asked their likelihood of purchasing the product. By analyzing likelihood to purchase at each price point, pricing sensitivity curves can be developed.
We will also analyze willingness to pay vs. the other pieces of data collected during the research survey to see if there are particular attitudes or behaviours which predict consumer willingness to pay.
Measuring the relative importance of price vs other metrics
Determining the relative importance of price will provide a first step in understanding the extent to which consumers are price sensitive. This is ideally done using Choice-Based Conjoint Analysis but can also be done using Stated and Derived driver analyses.
A CBC analysis can also help assess whether the presence of other attributes (manufacturer, efficacy, number of strains, HCP recommendation, etc.) may reduce price sensitivity.
Interested in learning more?
“Great report and very engaging presentation. Very responsive to follow-up requests. There are always actionable insights from this research and the cross-functional teams use these insights for their strategies.”
MD Analytics Client