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The Nature of Marketing Research

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Title: The Nature of Marketing Research


1
The Nature of Marketing Research
  • Chapter 1

2
Market Research Defined
  • MR is
  • the systematic and objective search for and
    analysis of information relevant to the
    identification and solution of any problem in the
    field of marketing. textbook
  • the function which links the consumer,
    customer, and public to the marketer through
    information American Marketing Association

3
Goal of Market Research
  • Good marketing research leads to better
    decisions
  • Research is an aid to decision-making, not a
    substitute

4
Good Marketing Research is
Clearly Defined Be able to state the goals and
objectives. Easily Completed Respondents must
be able to understand and follow your
questions. Smoothly processed Data must be
clean and validThoroughly Analyzed Useful,
reliable results through thorough
analysis. Timely The time between planning and
completion must produce results in time to make
a difference to your organization.
SOURCE The hows and whys of survey research,
SPSS Technical report WSRIWP-0402
5
SOURCE The hows and whys of survey research,
SPSS Technical report WSRIWP-0402
6
Areas for Survey Research
SOURCE The hows and whys of survey research,
SPSS Technical report WSRIWP-0402
7
Popular Research Questions
SOURCE The hows and whys of survey research,
SPSS Technical report WSRIWP-0402
8
Broad Categories of Research
  • Fundamental / Basic / Pure Research
  • Creates new understanding
  • Applied / Decisional Research
  • Uses existing knowledge to do something
  • Primary Research
  • New data generated by researcher through a survey
    or experiment
  • Secondary Research
  • Existing information gathered from published
    sources, like reports, journals, periodicals,
    government reports

9
Types of Marketing Surveys
  • 1 - Market Description Surveys To determine the
    size and relative market share of the market.
    Such studies provide key information about market
    growth, competitive positioning and tracking
    share of market.
  • 2 - Market Profiling-Segmentation Surveys To
    identify who the customers are, who they are not,
    and why they are or are not your customers. This
    is often a descriptive market segmentation and
    market share analysis
  • 3 - Stage in the Purchase Process / Tracking
    Surveys Where is the customer in the adoption
    process? This information shows market Awareness
    Knowledge Intention Trial Purchase
    Repurchase of the product.
  • 4 - Customer Intention - Purchase Analysis
    SurveysDirected at understanding the current
    customer. What motivates the customer to move
    from interest in the product to actual purchase?
    This is key to understanding customer conversion,
    commitment and loyalty.
  • 5 - Customer Attitudes and Expectations Surveys
    Does the product meet customer expectations?
    What attitudes have customers formed about the
    product and/or company. Used to direct
    advertising and improve customer conversion,
    commitment and loyalty.
  • 6 - Customer Trust - Loyalty Retention Analysis
    SurveysEspecially for high priced consumer goods
    with long decision and purchase processes (time
    from need recognition to purchase), and depth of
    consumer attitudes formed about the product
    and/or company.

10
Types of Marketing Surveys
  • 7 - New Product Concept Analysis Surveys Concept
    test studies are appropriate in the initial
    screening of new product concepts. Likes and
    dislikes about the concept and evaluation of
    acceptability and likelihood of purchase are
    especially useful measures.
  • 8 - New Product Acceptance and Demand Surveys
    (Conjoint Analysis) Primarily for estimating
    demand for new products that can be described or
    have been developed in drawing or concept, but
    have not yet been developed physically. Develops
    develop market share estimates of market
    potential for the alternative potential products.
  • 9 - Habits and Uses SurveysDirected at
    understanding usage situations, including how,
    when and where the product is used. Habits and
    uses studies sometimes include a real or virtual
    pantry audit.
  • 10 - Product Fulfillment Surveys (Attribute,
    Features, Promised Benefits) Evaluation of the
    products promised bundle of benefits (both
    tangible and image). Are expectations created for
    the product by advertising, packaging and the
    produce appearance fulfilled by the product?
  • 11 - Product Positioning Surveys (Competitive
    Market Position) A Best Practices study of
    How does the market view us relative to the
    competition? Competitive positioning analyses
    often compare the attributes and benefits that
    make up the product using multidimensional
    preference and scaling analysis. 12 - Brand
    Equity Analysis Surveys What is psychological
    value that a brand holds in the market place?
    Brand equity is a composite of brand awareness,
    brand quality, brand associations and brand
    loyalty measures.

11
Types of Marketing Surveys
  • 13 - Advertising Value Identification and
    Analysis SurveysAdvertising value analysis
    focuses on mapping the hierarchical attributes,
    benefits and values that are associated with and
    portrayed by an advertisement. Means-end analysis
    is often part of this type of study.
  • 14 - Advertising Message Effectiveness Surveys
    (Media and Message)Message effectiveness testing
    identifies the impressions, feelings, and
    effectiveness in moving the respondent to a
    desired goal (increased awareness, more product
    information, trial, repeat purchase).
  • 15 - Sales Force Effectiveness SurveysA
    combination of measures that focus on the sales
    activities, performance and effectiveness in
    producing the desired and measurable effect or
    goal. Often measured as a 360 degree survey
    completed by the sales person, the client
    (evaluating the sales call) and the supervisor
    responsible for evaluating the sales person.
  • 16 - Sales Lead Generation SurveysSales lead
    generation surveys for (1) assuring timely use
    and follow-up of sales leads, (2) qualifying
    sales leads (thereby saving valuable sales force
    time) and (3) providing more effective tracking
    of sales leads.
  • 17 - Customer Service SurveysAkin to customer
    satisfaction surveys, but focus in detail on the
    actual customer service that was received, the
    process involved in receiving that service and
    the evaluation of the participants in the service
    process.

12
Types of Marketing Surveys
  • 18 - Customer Service Representative (CSR)
    Surveys Attitudes, Burnout, Turnover and
    Retention Customer Service Representatives hold
    attitudes that may reflect on their job related
    activities and interfaces including (1) the
    allocation of time (2) solutions to solving
    customer needs (3) information or tools to help
    improve their job (4) information and best
    practices (5) the evaluation of internal
    departments that help customers.
  • Customer Service Representatives must conform to
    corporate policies and at the same time deal with
    problems that are sometimes unsolvable. CSR often
    exhibit frustration, burnout and high turnover.
    Surveys focus on retention analysis and reducing
    costs and increasing the quality of customer
    relationships.
  • 19 - Sales Forecasting and Market Tracking
    SurveysSales forecasting and market tracking
    studies can take a number of forms and
    methodologies, including expert opinion (experts
    estimate the market), judgmental bootstrapping
    (rule based decisions derived from experts that
    describe how to use available secondary market
    information), conjoint analysis (estimation of
    consumer intentions based on product attributes
    that are important in the decision), and
    intentions evaluations (consumer self reported
    intentions of future purchases) are to be made.
  • 20 - Price Setting Surveys and Elasticity of
    Demand AnalysisPrice surveys estimate the
    elasticity of demand and show optimal price
    points, including prices too low or too high.
    Price surveys may estimate the demand for
    different product or service segments, or
    different usage situations.
  • Source Twenty Different Types of Surveys for
    "Market Analysis", Qualtrics.com Survey
    University.

13
Objectivity in Research
  • Objectivity means gathering data without bias
  • Slanting research to arrive at predetermined
    results is a breach of professional ethics
  • One-sided research to prove a prior opinion is a
    waste of time and resources

14
Advocacy SurveysNot Objective
  • Advocacy surveys are typically sent out by
    political causes and candidates
  • Questions are worded so that everyone gives the
    desired response
  • Goal is raising money instead of research

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19
What Market Researchers Do
  • Provide informational and analytical inputs for
  • Planning future marketing activity
  • Controlling present marketing operations
  • Evaluating marketing results
  • On research projects, they
  • Specify the information to be gathered
  • Design methods for collecting the information
  • Manage and implement the data collection process
  • Analyze the results
  • Communicate the findings and implications

20
Stages of a Research Project
SOURCE The hows and whys of survey research,
SPSS Technical report WSRIWP-0402
21
Planning Steps
  • Step 1 Planning and survey design
  • Define your research objectives and goals
  • Before you get started, you need to determine
    your goals, budget and resources in terms of
    money and expertise. No survey project should
    move very far forward without a clear statement
    of the purpose and goals of the survey. If you
    dont know why you and your organization want to
    conduct the survey, you may be collecting
    unnecessary data.
  • Always write out explicit and specific goals so
    you can refer to them and share them with your
    organization. The objectives should be clear.A
    goal such as, We want to understand why
    customers of ABC Bank are satisfied is too
    vague. Focus on the particular issues that you
    wish to explore and measure. Satisfaction with
    service, interest rates offered, competitive
    offers, hours of operation, etc. Clear objectives
    lead to easier formulation of questions.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
22
Planning Steps
  • Outline your research
  • Plan for the Results Be prepared to know which
    statistics youll need to run for your analysis,
    along with what initial relationships and
    patterns you expect to find.
  • Establish a project budget
  • Mapping an action plan helps you justify your
    study and budget. It also helps you determine the
    scope and size of your survey. Before beginning a
    study, many organizations must prove that the
    research has a viable chance of producing
    results. Be sure to askHow much will the
    survey cost? What can I do to reduce costs
    change methods?
  • How long will it take to complete the survey and
    produce results?
  • Plan your schedule
  • Assume your survey will take longer than you
    expect. Reduce the total time dramatically by
    using existing questionnaires and electronic
    methods of data collection. Dont shortchange
    the time needed for questionnaire development,
    pre-testing and analysis. Dont shortchange the
    reporting end of the process, which is often
    rushed. Anticipate the tables and graphics to be
    constructed to get a head start on the tasks.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
23
Planning Steps
  • Define the population
  • You need to consider your population before you
    can develop questions and format your survey.
    Some things to consider are your populations
    age, education, attention span, language level.
  • Estimate the required sample size
  • If the sample size is too small, you risk not
    finding any significant results and will have to
    start over. On the other hand, if the sample size
    is too big, you will waste money because a
    smaller sample size would be sufficient.
  • Select a method of data collection
  • As you plan a survey, you need to determine which
    method or methods you should use to collect
    data from respondents. Telephone, Mailed
    questionnaire, Face-to-face interview, E-mail, or
    other electronic methods. Sometimes, it takes a
    combination of methods to get the best results.
  • The method you use depends on factors such as
  • The population to be surveyed
  • The sampling methodology
  • The types of questions to be asked
  • The resources (funds and personnel available)

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
24
Planning Steps
  • Determine how you will use the results
  • One part of the planning stage is thinking about
    how you will use the results. Some things to
    consider include
  • The research answers you will report on
  • The type of analysis you hope to do
  • What reports you will write
  • How the information will be used
  • Often, people want to use the information they
    collect to change policies, practices, products
    or procedures to increase their effectiveness.
  • For example Ask commuters about their potential
    use of a new subway line if your survey is
    intended to determine potential demand for a new
    subway line.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
25
Planning Steps
  • Write the questions
  • The key to a successful survey is to ensure that
    your questions address the research question and
    are concise and easy-to-understand.
  • Poor questions will reduce the value of the data
    gathered.
  • Use well-written and tested pre-existing
    questions as much as possible, especially from
    surveys done in your specific industry or topic
    area. No question is usable in every situation
    so you have to examine the questions for your
    particular survey research.
  • Pretest questions to determine if they are
    correct for your survey.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
26
Planning Steps
  • Design the questionnaire
  • Poorly formatted surveys can deter people from
    responding to your survey. Design your
    questionnaire to
  • minimize measurement error and
  • reduce non-response.
  • Your questionnaire should be constructed so that
  • Respondents are interested and motivated to
    complete it
  • The questions are understood i.e., read
    easily, correctly, thoroughly
  • Respondents understand how to respond to each
    question and move through the questionnaire

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
27
Planning Steps
  • Pretest the questionnaire
  • A pretest is a formal review of a questionnaire
    and the associated data collection methodology.
  • By conducting a pretest, you can
  • Find problematic questions and get the
    opportunity to rewrite them
  • Estimate the cost of data collection
  • Estimate the response rate and thus the
    necessary sample size
  • Estimate the results on key variables
  • Determine interviewer effectiveness
  • Use 30 - 75 respondents for a pretest. The
    pretest population should be similar in
    characteristics to the population of your actual
    survey.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
28
Planning Steps
  • Step 2 Data collection
  • Once you have planned and designed your survey,
    you can begin collecting the data. In order for
    this step in the survey research process to be a
    success, you need to collect clean, unbiased and
    up-to-date data in an efficient manner.
  • Methods of data collection
  • There is no best method of data collection. Each
    has its strengths and weaknesses.
  • For example,
  • Mail surveys relatively low costs, and low
    response rates requires considerable follow-up.
  • E-mail even lower cost, but cant be used for the
    general population, not everyone has e-mail.
  • Face-to-face interviews are prohibitively
    expensive, but the lengthiest questionnaires can
    be used.
  • Electronic methods, in general, can be used to
    collect data more rapidly.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
29
Planning Steps
  • Failure from non-response
  • Failure to collect data from a large portion of
    those contacted results in a problem called
    non-response. Non-response, by itself, should
    not be a cause for concern. However if
    non-respondents differ from respondents in
    relevant ways, you have to account for the bias.
    Typically this involves weighting results to
    match the population values.
  • Failure from item non-response
  • Another problem you might encounter in the data
    collection stage is item non-response.
  • This is when people who do respond, fail to
    answer an individual item. This can be avoided
    completely through electronic surveys. You can
    use software that creates rules that wont allow
    respondents to continue if they dont answer a
    question.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
30
Planning Steps
  • Step 3 Data access, preparation and
    managementGet the data ready for analysis
  • When examining a new data set, perform data
    verification and cleaning, which helps ensure
    that your analytical results are accurate. For
    example, if you have gender data in which 1 is
    for male and 2 is for female, your data
    shouldnt have 3 as a response.
  • If your respondents are entering in their own
    data through electronic surveys, you can set up
    rules that only accept approved responses, such
    as 1 or 2.
  • Verify your data so that you dont analyze bad
    data and get bad results.
  • Set up the codebook
  • During the data preparation and management step,
    youll also want to set up codebook
    information, which is any variable definition
    information. This includes variable names,
    variable formats and descriptive variable labels
    (data such as gender or income level) and value
    labels (numbers assigned to data, such as 1 for
    male, 2 for female).

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
31
Planning Steps
  • Step 5 Data analysis
  • Data analysis lets you extract useful information
    from your collected data so you can make informed
    decisions. You will better understand your
    research problem with more detailed analysis.
  • Different statistical procedures are appropriate
    depending on what you want to learn and the level
    of measurement of the variable.
  • Keep track of what you do the analyses you run
    and how you do them. When performing complex
    analyses, keep a record of the procedures you
    perform and the way you create new variables.
    This record will help you reconstruct your
    analyses if any questions arise when you write
    your report.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
32
Planning Steps
  • Descriptive data analysis
  • First understand your data. Descriptive data
    analysis lets you see whats going on. For
    example, a simple data analysis allows you to
    discover the satisfaction level of your average
    customer.
  • In descriptive data analysis, you want to asking
    questions such as Whats the distribution of my
    data? or, How did my respondents answer each
    question?
  • The goals of descriptive data analysis are to
  • Summarize your data
  • Get an accurate description of the variables of
    interest

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
33
Planning Steps
  • Advanced data analysis
  • Inferential data analysis helps you predict
    future outcomes, such as customers most likely to
    be satisfied or employees most likely to leave
    your organization.
  • Find out which predictors are important and
    determine the level of importance. For example,
    if you are trying to predict customer
    satisfaction, you can determine the importance of
    factors such as the length of time a person has
    been a customer, the impact of various
    promotions, geographic location and more.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
34
Planning Steps
  • Step 6 Reporting
  • Once you have analyzed your data, you need to
    report the results. Create easy-to-understand
    results from your data analysis that decision
    makers can quickly understand and act upon.
  • Highlight the information you want to emphasize.
    You want to get your point across clearly with
    reports that are easy to read and easy to
    interpret.
  • If your audience doesnt understand the point,
    then your thorough analysis is wasted.Generate
    a Powerpoint Summary of your research.Also
    generate a Microsoft Word document with
    tablesUse software that lets you create
    interactive, customizable reports.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
35
Planning Steps
  • Step 7 Deployment
  • Dont do the research if you are not going to
    deploy or take action on the results.
  • Take action on the results
  • Let your audience interact with the reports.
  • Share information easily
  • Allow your clients to view your reports using a
    standard Web browser.

SOURCE Edited from The hows and whys of survey
research, SPSS Technical report WSRIWP-0402
36
Benefits of Marketing Research
  • Discover options available to managers facing
    decisions
  • Reduce the risk of a terrible decision
  • But Marketing results will never be 100 certain
  • Ideas, strategies, and tactics cannot be proved
    before implementation
  • Not all information is equally valuable
  • Dont waste large amounts of time and resources
    on information that isnt as valuable

37
Your Research Process???
38
Ethical Considerations in Treatment of Subjects
and Respondents
  • Deceptive practices, Invasion of privacy, and
    Lack of consideration.
  • Unrealized promise of anonymity
  • Use of disguised questionnaires and interviews
  • Faked sponsor identification
  • Implication of required response
  • Lying about research procedure
  • Faked testing in experimental research
  • Promise of undelivered compensation
  • Sales solicitation
  • The following are examples of invasions of
    privacy
  • Observation without informed consent
  • Questions concerning people other than the
    subject
  • Projective techniques
  • Personal classification data
  • Full disclosure and use of optional
    participation
  • All of the following practices exhibit a lack of
    consideration for subjects or respondents
  • Overuse of public (i.e., research placing an
    unreasonable demand on the time and energy of
    respondents)
  • Research in subject areas with a depressing
    effect on respondents
  • Subjects of no immediate interest to respondents
  • Poor interviewers
  • Contacts at inconvenient times
  • No mention of procedural aspects
  • Failure to debrief
  • Failure to present subject with option to
    discard results upon completion
  • Of specific concern to many are excessive
    interviewing, lack of consideration for and abuse
    of respondents, and the use of marketing research
    as a sales ploy (McDaniel, Verille, Madden,
    1985).

39
Overview
  • Give the big picture of the research process
  • Explain how all the individual topics fit together
  • Develop into the Research Report

40
Most Common Research Studies
  • Qualitative
  • Product / service tests
  • Brand / advertising tracking
  • New product screening tests
  • External market volume / share
  • Advertising pre-test
  • Marketing strategy
  • Customer Satisfaction
  • Name / packaging tests
  • New product forecasting
  • Pricing
  • Purchase / usage panels
  • Demographics
  • Market information systems
  • Database marketing
  • Sales / marketing mix models
  • Product Category Management

41
Sources of Marketing Research
  • Internal research staff
  • Commercial research firms, syndicated studies
  • Gartner selling same report to many clients
  • Commercial research firms, commissioned reports
  • Advertising agencies
  • Media viewing habits, testing advertising
    concepts
  • Trade associations
  • Insurance Institute for Highway Safety, crash
    tests
  • Government and nonprofit organizations
  • Federal census, demographic data
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