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Business Studies
Marketing
3.2 (Market research)
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Why is
market
research
important?
Successful selling of
goods
and
services
and
generate profit
Business failure
at
risk
Knowing customers and adapting business correspondingly
What
price
will
customers
be
willing to pay
?
What is
competition
in
markets
like?
Market research overview:
Market
segmentation
Data
collection
research
design
Qualitative
research
Quantitative
research
Competitive
analysis
Consumer Behaviour Analysis
Market size
and
forecasting
Data Analysis
Reporting
and
Presentation
Primary research:
Collecting data firsthand
Interviewing
Focus groups
Observation surveys
Test market
Consumer feedback
Surveys
Secondary research:
'Desk research'
Internet
(
Tracking behaviour usage
)
Government publications
Newspapers
and
magazines
Local library
Professional agencies
Business records
Pros and Cons of
Primary research:
Pros
:
Can get
specific information
for
company
/
activity
Asking
actual customers targeted
, which are more
appropriate
Firsthand information
gathered
Complex questions
can be asked with
emotional
/
feelings
and
opinions
(
Qualitative
research)
Cons:
Can be more
expensive
that
secondary
; especially
new firms
Likely to be
rejected
by some respondents/ not taken
seriously
May not answer
truthfully
/
emotional
and
off topic
or
personal questions
Interviewer bias-
can ask
leading questions-
as well as being
subjective
Pros and Cons of
Secondary research:
Pros:
Accessibility
Low cost
Saves time
May help
clarify research questions
Government
and
agencies
Understand the problem
New conclusion
or
data
Cons:
Quality
of research
May not full-fill
research's need
Incomplete information
(Half truth)
Outdated information
Lack of quality
What is
qualitative research
?
Exploring ideas or formulating
hypotheses
/
theories
Summarising
,
categorising
,
interpreting
Words
Few respondents
open-ended
Understanding
,
context
,
complexity
,
subjectivity
What is
Quantitative
research
?
Testing hypotheses or
theories
Math
and
statistical analysis
Numbers
,
graphs
,
tables
,
fewer words
Many respondents
Close-ended
or
multiple choice
Testing
,
measurement
,
objectivity
,
replicability
Sampling
:
Subset of population representa the
whole
of the
entire
group
Often
impractical
to survey every single person from population
Random sampling
occurs when random people are picked for research
Quota sampling
is when people are chosen based on characteristics (Age, gender, location etc)
5 Factors driving need for
sample
:
Difficulty reaching audience
Limited time horizon
Budget flexibility
Larger sample size requirement
Limited human resources
Accuracy of market research data:
Same may be
too small
Wrong methods chosen
People
may
lie
Questions
asked in
interviews
may not be the best ->
'Leading questions'
Secondary
data out of date
Data
might not be
specific
Presentation of data:
Qualitative
->
Written format
( reports etc)
Quantitative
->
Visually
Key
to all presentation of data is
analyses
and
meaning
When
presenting
connection
is
key
!
Bar chart:
easy to see
numerical values
Can be
difficult
to compare when
similar
or
context
of data
Tables:
Clear
to
read
and
organise
information
Lacks visuals
and sometimes
too much content
Pie charts:
great visuals
Very
easy
to
understand
Sometimes too many slices
It doesn't always capture context.. biggest is not always the best
Additional ways of presenting:
Line graphs
Pictograms