The Gabor-Granger Method is very easy to implement and requires a relatively low amount of data acquisition.
The respondent is presented with a series of defined price points and asked whether or not he/she would purchase the product at these prices. From all respondents, information is accumulated for each price point, and from this the "demand" is derived. In this way, a price-sales curve is determined. The level of sales can be calculated for each price point, and from this the optimal price point can be determined.
Possible approaches:
- Monadic querying, in which each survey participant is shown just one price and asked about his or her willingness to buy.
- Randomized querying, in which each survey participant is presented with a range of prices and asked whether he/she would buy the product at those prices (approx. 5 to 10 prices).
- Systematic querying, in which each survey participant’s exact price limit is determined.
The advantage of the monadic method is that the price points do not influence one another. This makes the monadic method more realistic. However, very large samples are required in order to attain reliable results.
By contrast, the information density of the randomized query is higher and fewer cases are required. In order to keep the loss of validity resulting from reciprocal influences as low as possible, the price points are randomly shuffled before they are presented.
The highest information density per respondent is gained by systematic price querying, as the following example shows.
As with Price Sensitivity Measurement, one drawback of the Gabor-Granger method is that it fails to take into account the competitive situation in the marketplace. If a product is "bought" by 50% of the sample at a particular price, this figure will almost certainly be unattainable in a real-world situation. The product will also have to share the market with its competitors, whose products will also be accepted by a portion of the target group at their market price.
Nevertheless, this method provides key information on monetary value as perceived by the target group, and it is particularly well suited for situations in which there are no direct competitors (such as e.g. information services of mobile phone providers or online navigation services from automobile manufacturers).
