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Primary v. Secondary Data
- Primary Data = Facts and Figures newly collected for a project
- v.
- Secondary Data =
Facts and Figures that have already been collected for another purpose
* ALWAYS use Secondary Data first*
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Marketing Research
The process of defining a marketing problem and opportunity, systematically collecting and analyzing information, and recommending action
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Hypothesis Generation v. Evaluation
- Generation
- Purpose: uncover ideas to test during 'idea evaluation stage'
- Typical Methods: one-on-one conversations, focus groups, brainstorming sessions using small samples
- Kinds of Questions/data: open-ended, observational
- How results are analyzed: Qualitative analysis
- Evaluation
Purpose: test ideas discovered in hypothesis generation stage to recommend marketing actions - Typical Methods: mail, telephone, and personal interviews using large samples
- Kinds of Questions/data: fixed alternative
- How results are analyzed: Quantitative analysis
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Qualitative Research Methods (8 methods)
- 1. Focus Groups
- 2. Crayons
- 3. Collages
- 4. Personal Items from home
- 5. Ethnographic
- 6. Cool Hunters
- 7. Mystery Shoppers
- 8. Hypnosis
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Focus Groups
- A Qualitative Research MethodAn informal one-time session of 6-15 current or potential users of a product or service in which a discussion leader seeks their opinions on the firm's or a competitor's products or services.
- Can be used for: - idea generation
- - Development and Pre-testing of Questionnaires
- - Overall background information on product or service category
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Crayons
- A Qualitative Research Method
- where different colors represent different moods/attitudes towards a product
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Collages
- A Qualitative Research MethodWhen you do 'X', choose a picture that matches how you feel
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Personal Items From Home
- A Qualitative Research Method"bring something from home that represents how you feel when you have a migrane"
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Ethnographic
- A Qualitative Research Method
- If we watch people in their daily routine and see how they act, respond, and learn new behaviors
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Cool Hunters
- A Qualitative Research Method
- "trend spotters" @ big locations; Rodeo Dr., Soho, Milan, Tokyo, etc
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Mystery Shoppers
A Qualitative Research Method
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Hypnosis
- A Qualitative Research Method
- 10% > $, put under hypnosis and asked personal questions regarding sexuality and sensitive topics.
- Helps get more accurate information from people who may at first may feel sensitive to answering these questions
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Sampling
Sample: A segment of the population selected for market research to represent the population as a whole
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Kinds of Samples Used in Marketing Research
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Probability Sampling
(definition and 3 types)
- Definition - The selection of a sample using precise rules such that each element of the
- population has a specific known chance of being selected. This
- technique allows the sample to be representitive of the entire
- population and conclusions to be drawn about the entire population.
- 1. Simple Random Sample
- 2. Stratified Random Sample
- 3. Cluster Sample
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Simple Random Sample
- A Type of Probability Sampling
- Each element of the population has an equal chance of being chosen
- eg. having 20,000 cuctomers, and taking a sample of 200 with each customer having an equal probability of being chosen
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Stratified Random Sample
- A Type of Probability SamplingThe population is divided into groups and a simple random sample is then selected from each group.
- total # 20k # we take from each hat
- Charge Light 5,000 25
- Card Med. 10,000 50
- Usage Heavy 5,000 25
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Cluster Sample
(2 types)
A Type of Probability Sampling
Random selection of entire groups of elements
- Systematic Cluster SampleElements are chosen from a list of the population at fixed intervalseg. 20,000/100 = 200 or 400 or 600 etc....
- Area Cluster SamplePopulation is divided into geographical groups (census tracts, blocks, etc.) and a sequence of random samples is drawn from a series of geographic subdivisions.
- (A sample is NOT drawn from each geographic group)
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Non-probability sampling
(definition and 3 types)
Defined - The selection of a sample using arbitrary judgments so the chance of selecting a particular element may be unknown or 0. Samples may give biased data as it is NOT representative of a population.
- types - 1. Convenience Sample
- 2. Judgement Sample
- 3. Quota Sample
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Convenience Sample
- Type of Non-probability Sampling
- The researcher selects from the most accessible population members from which to obtain information, usually with minimum time and cost.
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Judgement Sample
- Type of Non-probability Sampling
- Researcher uses own judgement to select sample members who are good prospects for accurate information
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Quota Sample
Type of Non-probability Sampling
Type of conveinience and judgement sample whereby researcher specifies a mix of characteristics of respondents (sex, age, income, purchase volume, etc...)
- eg. x male: y female
- age 19-28: 29-40
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Criteria for a Good Questionnaire
- Does it provide the necessary decision-making information?
- Consider the respondent
- Simple, direct, & unbiased wording
- Editing, coding, & data processing requirements - The more expensive it is to interpret, the greater the $ the survay will cost.
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Open-End Questions
- Completely unstructured: "what is your opinion of Delta Airlines?"
- Word Association: "What is the first word that comes to your mind when you hear the following?" - Airline ________, Delta________, & Travel________.
- Sentence Completion: "When I choose an airline, the most important consideration in my decision is _____________.
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Closed-End or Fixed Alternative Questions
- Dichotomous: yes/no
- Multiple Choice: 3+ choices
- Likert Scale: Amount of agreement/disagreement
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly Agree
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Fixed Alternative Questions
Semantic Differences: Bipolar 7 pt. scale; direction & intensity of feeling
- Love ___ ___ ___ ___ ___ Hate
- Large ___ ___ ___ ___ ___ Small
Intention to buy scale: Describes intention to buy
Definitely Buy Probably Buy Not Certain Probably Not Buy Definitely Not Buy
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Household (HH) Penetration and Buying Rate
- # HH using Prod. x 100 = US HH penetration
- US HH
- # products purchased = Buying Rate
- # HH using Prod.
eg. 100mil US HH & 40mil using product & 120mil prod. purchased
- 40mil/100mill * 100 = 40% penetration
- 120mil/40mil = 3 products per HH (Buying rate)
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Five-Step Market Research Decision Making Process
- 1. Define the Problem
- 2. Develop the Research Plan
- 3. Collect Relevant Information
- 4. Develop Findings
- 5. Take Marketing Actions
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Step 1 - Define the Problem
- Objectives - specific, measurable goals the decision maker seeks to achieve in solving a problem (SMART goals)
- Garbage in - Garbage out
- Exploratory Research - exploring the market
- Descriptive Research - talks about depth of relationship; how often & how you use a product/service
- Causal Research - If we do 'X' what is going to happen to 'Y'?
- Measures of success - criteria or standards used in evaluating proposed solutions to a problem.
- --> take personal opinion out & determine how you you will measure success
- Test for Market Research - Do different outcomes lead to different marketing actions?
- --> Is there another way to change things without doing this research?
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Step 2: Develop the Research Plan
- Specify the constraints on the research activity --> time & money
- Identify the data needed for marketing action
- Determine how to collect the data
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Step 3: Collect Relevant Information
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Step 4: Developing Findings
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Step 5: Take Marketing Action
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