DAIRY RESEARCH INCORPORATED: MOOSODA
A Trial-Repurchase Case
Anthony Luksas, president of Dairy Research, Inc. (DRI), was looking over data he had just received from the first market test of MooSoda. In wondering how well the new product would sell, Luksas commented, "If we could just capture 2 or 3 percent of the carbonated beverage market, we could wipe out the dairy surplus we have each year."
DRI was a research group formed by the Dairy Farmers of America to increase dairy product consumption by developing new uses for dairy products, thus expanding the dairy product market. The idea for MooSoda, a carbonated milk drink, was stimulated by two factors:
In October, a test market was conducted as the next step in MooSoda's product development. Luksas' job now was to determine the optimal strategy for the introduction of MooSoda. Specific questions that Luksas needed to answer included:
1. Will MooSoda gain sufficient market share to be profitable and to reduce the milk surplus in America?
2. Will positioning MooSoda as a "nutritious carbonated beverage," be effective? (DRI had adopted the strategy of positioning MooSoda as a carbonated beverage rather than as a milk substitute in order to reduce cannibalization of other dairy products.)
3. Is the advertising copy effective in generating awareness and trial?
4. What will be the reaction of other carbonated beverage producers to MooSoda?
Test Market
1. Have you heard of MooSoda? (awareness)
2. Have you purchased MooSoda? (trial)
3. If you have, how many times have you purchased it? (repeat and index)
Results of the test are summarized in Table 1.
Analysis
Using the model, Luksas hoped to predict fourth-period MooSoda share of the $5 billion retail sales carbonated beverage market, and to be able to recommend a positioning strategy for the product. He realized he needed about 3 percent of the market to make much of a dent in the mild surplus. The DRI market test did not reveal data on the cannibalization of milk products.
|
TABLE 1 |
|||
|
|
Cumulative |
Repeat |
Buying Rate |
|
1 |
111 |
33 |
.5 |
|
% |
37 |
11 |
|
|
|
|
|
|
|
2 |
84 |
51 |
.5 |
|
% |
28 |
17 |
|
|
|
|
|
|
|
3 |
63 |
57 |
.6 |
|
% |
21 |
19 |
|
|
|
|
|
|
|
4 |
57 |
69 |
.65 |
|
% |
19 |
23 |
|
Periods 1 & 2: Average number of purchases per week for repeat users = 2.5
Periods 3 & 4: Average number of purchases per week for repeat users = 3
Industry average purchases per week for repeat users = 5