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Marketing Research

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Not just a computer system, though one may be involved ... Buying competitors' products, reverse engineering, corporate espionage ... – PowerPoint PPT presentation

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Title: Marketing Research


1
Marketing Research
  • Chapter 4
  • June 7, 2001

2
Marketing Information System
  • Not just a computer system, though one may be
    involved
  • Involves all the people, technology and processes
    involved in gathering the information necessary
    to a successful marketing function and getting it
    to the right people in the organization in the
    right form at the right time to make decisions
  • data--gt information --gt knowledge

3
Information Mgmt. Process
  • 1. Assessing information Needs
  • 2. Gathering Information
  • 3. Analysis of Information
  • 4. Distributing Information to decision-makers

4
Assessing Info Needs
  • Involves determining what information decision
    makers want, what they actually need, and what it
    is feasible to provide them.
  • Managers may not know exactly what information
    they need. Need to analyze the types of
    decisions they make
  • Need to look for new forms of information that
    managers would not think to ask for
  • Information needs to be useful - not overload
  • Need to consider costs of obtaining info.

5
Gathering Information
  • Internal data - existing company data that can be
    used in marketing decision-making
  • Records, transactions, financial reports,
    customer complaints, service calls, sales and
    cost data
  • Marketing Intelligence - collection and analysis
    of publicly available info on the marketing
    environment, especially competitors
  • employees, suppliers, distributors need to be
    intelligence gatherers (boundary spanners)
  • Buying competitors products, reverse
    engineering, corporate espionage
  • Looking at media, internet, annual reports

6
Gathering Information (2)
  • Marketing Research - creating new information by
    conducting research in the companys consumer
    market
  • May involve reactions to current product
    offerings or potential future product offerings -
    success insurance
  • Involves answering specific questions about the
    market
  • What type of products are preferred
  • Who does the purchasing
  • What messages are effective motivators?

7
Information Analysis
  • Once received, data and information are analyzed
    by researchers to help decision-makers
  • Often involves the use of statistical techniques
    to determine patterns and trends in the data
  • Once information is analyzed it is transformed
    into knowledge that can help the organization
    predict outcomes and make important decisions
    about S,T,P, and the 4Ps

8
Distributing Information
  • Information technology needs to be employed in
    order to make up-to-the minute information
    available to marketers and other organizational
    managers, so that timely decisions can be made.
  • Since different users have different needs,
    interfaces and reports have to be tailored to the
    needs of individuals
  • e.g. OLAP can give detailed sales reports

9
Marketing Research Process
  • 1. Defining the Problem and Research Objectives
  • 2. Developing a Research Plan
  • 3. Conducting Research
  • 4. Analysis of Results
  • 5. Presentation of Findings

10
Defining Research Objectives
  • Type of research instruments and analysis will
    depend on the problem being solved and the goals
    of research.
  • What is the purpose
  • Exploratory research - to help identify the
    issues and generate hypotheses to be tested.
    Answers a general question e.g.-what is the
    process through which consumers become aware of
    new brands, what types of people buy this product
  • Descriptive Research - seeks to test hypotheses
    about the way things are - 5Ws and how -
    quantitative
  • Causal Research - seeks to predict the outcome of
    a scenario - e.g. what is the likelihood of a
    purchase, and cause and effect relationships

11
Developing a Research Plan
  • Determine information needs - what specific
    questions will be addressed in the research
    (research questions)
  • If the research is descriptive or causal, what
    particular hypotheses will be tested?
  • What secondary data sources are available?
  • Internally
  • commercial data (from research, polling firms)
  • publications (journals, magazines) and Internet
  • Statistics Canada and Government research

12
Developing a Research Plan (2)
  • What sample and sampling technique is
    appropriate?
  • Size of sample based on confidence interval
  • Sampling techniques
  • Random
  • Stratified Random
  • Convenience
  • Snowball/Referral
  • Judgment (selected by researcher on the basis of
    his/her judgement about who is good source

13
Developing a Research Plan (3)
  • Determine the research technique based on
    objectives and sample size
  • Exploratory
  • Interviews (face-to-face or telephone)
  • Focus Groups (small group interview)
  • Ethnography (direct observation)
  • Case Studies
  • Descriptive
  • Surveys (paper, electronic, telephone, mail,
    face-to-face)
  • Interviews and Coding
  • Act-Frequency (observation and coding)
  • Causal
  • Controlled Experiment (Lab or Field)

14
Implementation and Interpretation and Reporting
  • Implementation - only after careful planning that
    is justified theoretically and ethically and
    pre-testing of techniques
  • Collection, processing, analysis of data to
    generate findings
  • Interpretation must be done by qualified
    researchers who understand the limits of the
    research model and analysis techniques. Must not
    draw faulty conclusions

15
Uses of Technology
  • Single-Source data - link buyers actual purchases
    to their exposure to ads, their demographics and
    psychographics - links all these together to find
    patterns and trends. Digital TV and
    cash-scanners are employed
  • Data mining - technique to find patterns in large
    data sets (warehouses) that can be used to
    generate and test hypotheses

16
Research Issues
  • Reliability and Validity of Measures
  • Representativeness of Samples
  • Caution against unwarranted inferences -
    especially with focus groups
  • Data mining needs to be verified with descriptive
    or causal research
  • Research is costly and mistakes can be critical -
    therefore - need to pretest
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