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Marketing Research Process
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5 basic research steps Problem definition Obtaining data Data analysis
Secondary data Primary data Data analysis Recommendation of solutions Implementing the findings
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1. Problem Definition What decisions need to be made and what information is needed?
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2. Obtaining Data
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Secondary Data Data previously collected and used for purposes other than the current study
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Sources of Secondary Data
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Internal Sources Info found within your company Past sales figures
Budget records Income/expense records Customer records Inventory records
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External Sources Info found outside your company
U.S. government (Census) Business publications (Inc., Wall Street Journal) Commercial research agencies (Nielson) Trade publications (Ad Age, Grocer) Local and state governments
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Should you use Secondary Data?
Advantages Can be obtained quickly Costs less Disadvantages May not “fit” your current study Data may be old
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Primary Data Data obtained for the first time and used specifically for the current study
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Methods of obtaining Primary Data
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Survey Method Info gathered from people directly through use of questionnaires or interviews. Telephone Mall Direct mail Internet Focus groups
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Observation Method Actions of people are observed and recorded
Natural conditions Personal observation of real customer Traffic counts Hidden cameras Contrived conditions (mystery shoppers)
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Experimental Method One or more marketing variables are observed under controlled conditions Central Location Testing
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3. Data Analysis Compiling, analyzing and interpreting the results of the collected data
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4. Recommendation of Solutions
Possible solutions to problem (from Step 1) are given to management or client in report form
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5. Implementing the findings
Putting the solutions to work Includes monitoring the results
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Marketing Information Systems
Set of procedures and methods that regularly generates, stores, analyzes and distributes marketing information
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Sampling A subset from a large population Universe
3rd period Marketing class vs. Cresskill High School Universe The population from which a sample will be drawn
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Probability Samples is one that gives every member of the population a known chance of being selected. simple random sample - anyone stratified sample - different groups (ages) cluster sample - different areas (cities) All are selected randomly
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Non Probability Samples
Participants are selected deliberately, by convenience. Not random Example: specific disorders
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