Perreault−McCarthy: Basic
Marketing: A
Global−Managerial
Approach, 14/e
- Improving Decisions
with Marketing
Information
Text © The McGraw−Hill
Companies, 2002
Improving Decisions with Marketing Information 231
as a “fact” that applies to a broad target market. For example, it’s trendy for food
product firms in Japan to do focus groups with teenage girls. The logic is that girls
will be brutally honest about what they think and that they are good at predicting
what will be a hit. So based on a girl’s comments in a focus group, Meiji Milk Prod-
ucts substituted oolong tea for fruit juice in a new drink it was developing. The
suggested change might or might not be a good one. But there’s no way to know if
one girl’s point of view is representative.^12
To avoid this trap, some researchers use qualitative research to prepare for quan-
titative research. For example, the Jacksonville Symphony Orchestra wanted to
broaden its base of support and increase ticket sales. It hired a marketing research
firm to conduct focus group interviews. These interviews helped the marketing man-
agers refine their ideas about what these target “customers” liked and did not like
about the orchestra. The ideas were then tested with a larger, more representative
sample. Interviewers telephoned 500 people and asked them how interested they
would be in various orchestra programs, event locations, and guest artists. Then they
planned their promotion and the orchestra’s program for the year based on the
research. Ticket sales nearly doubled.^13
As this example suggests, qualitative research can provide good ideas—hypotheses.
But we need other approaches—perhaps based on more representative samples and
objective measures—to testthe hypotheses.
When researchers use identical questions and response alternatives, they can
summarize the information quantitatively. Samples can be larger and more repre-
sentative, and various statistics can be used to draw conclusions. For these reasons,
most survey research is quantitative research—which seeks structured responses that
can be summarized in numbers, like percentages, averages, or other statistics. For
example, a marketing researcher might calculate what percentage of respondents
have tried a new product and then figure an average score for how satisfied they
were.
Structured questioning
gives more objective
results
CETIA is a European
manufacturer of minicomputers.
When it delivers a product, it
asks the customer to complete
this interactive customer
satisfaction survey, which is
located at CETIA’s Internet
website. The survey uses a
combination of fixed response
questions and open-ended
comments.