What should the next price be? for a new product about to be launched? or an existing service where one wants to increase the price for any number of reasons? The facts are that in 88% of all cases the price setting process inside a company is largely based on guesswork and gut feeling rather than science. Or simply based on the previous price.
If you need to price a product (or service) in a new market, it makes all the difference in the world if you understand customers' willingness-to-pay.
Demand / WtP curves like the ones below, show the optimal price point where the curve peaks.
In this example, the best price to optimize quantity is 5, whereas the optimal price for optimizing revenue is 10, but actually a full 15 if going after optimizing margin. The way this kind of insight is generated is by having PriceBeam's system querying a number of consumers or businesses about their value perception and preferences, and then building a virtual demand curve like the one above. The virtual demand curve is then used to generate 3 lines with different meanings:
With this kind of modelling insights, managers can simulate different scenarios and for each (international) market. But wait, there is more. PriceBeam's platform can automatically manage the same study across multiple markets in a single go, without you having to worry about the details for each country. You simply choose to run the research in multiple markets and then PriceBeam's platform first duplicates the study and the adjusts it to local specifics such as language, currency etc.
In the old days when research was expensive, this could be difficult to get through a corporate approval if launching in many markets at once. These days, with cost-effective research options from e.g. PriceBeam, the cost of getting these crucial insights should no longer be an issue.
With PriceBeam's platform one can also with a few clicks produce a number of other analyses. One of them is this kind of comparison of virtual demand curves in an assortment comparison:
The 5 highlighted products (1, 2, 3, 4 and 6) are all from the same brand, but different line extensions. One of the conclusions here is that for the target segment there is a problem that while Product 4 has a distinct value profile, the other four are too close to each other in terms of willingness-to-pay at least, as consumers have a more or less same value perception. While the 4 overlapping products may have other relevant benefits, one of the actions taken by the company in question was to take two of the product extensions up in price to 11.99, in this case products 2 and 3 as they have a higher willingness-to-pay profile at higher price points.
In the old days of market research the kind of insights above would take months and cost even 6 figures in Dollars for just a single study. That is probably one of the reasons why the pricing process is governed by guesswork in 88% of all cases.
However, with a modern technology platform like PriceBeam, such studies can be done at a fraction of the cost and just in matter of days, even in 109 countries around the world, while maintaining the high quality and scientific accuracy. If you world like a talk about it might work for your business, please sign up for a free demo here.