Marketing Research
MARKETING RESEARCH
Introduction
·
Marketing Research is the systematic process of
collecting, analyzing, and interpreting data related to marketing problems and
opportunities.
·
It helps organizations understand customer
needs, evaluate marketing actions, and improve decision-making.
·
According to the American Marketing Association
(AMA), "Marketing research is the function that links the consumer,
customer, and public to the marketer through information."
·
It involves data collection about markets,
competition, customer preferences, and the effectiveness of marketing
strategies.
Importance of Marketing Research
a) Informed Decision-Making
b) Understanding Consumer Behavior
c) Market Opportunity Identification
d) Reducing Risk
e) Improving Marketing Strategies
Types of Marketing Research
- Primary
Research
- Original
data collected for the first time for a specific purpose.
- Methods:
Surveys, interviews, focus groups, observations.
- Advantage:
Relevant and current data.
- Limitation:
Time-consuming and costly.
- Secondary
Research
- Data
collected earlier for other purposes but used for current analysis.
- Sources:
Government reports, market reports, internal company data, internet.
- Advantage:
Quick and cost-effective.
- Limitation:
May be outdated or irrelevant.
Techniques of Marketing Research
A. Qualitative Research Techniques
- Focus
Groups
- Small
group discussions moderated by a researcher.
- Ideal
for exploring perceptions, new ideas, or ad testing.
- In-depth
Interviews
- One-on-one,
open-ended interviews to explore detailed opinions.
- Observation
- Watching
consumer behavior in real settings (e.g., in stores).
- Projective
Techniques
- Indirect
methods like word association, sentence completion to uncover
subconscious feelings.
B. Quantitative Research Techniques
- Surveys
& Questionnaires
- Structured
instruments with closed-ended or scaled questions.
- Can
be online, in-person, by phone, or via mail.
- Experiments/Test
Marketing
- Manipulating
variables to study outcomes (e.g., A/B testing for ads).
- Panels
- Longitudinal
data collected from the same respondents over time.
- Statistical
Analysis
- Techniques
like regression, correlation, and cluster analysis to interpret numeric
data.
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