Help everyone learn names and build a more interactive classroom.
Unless they are requested for a class activity.
Explain the purpose and main characteristics of exploratory, descriptive, and causal research.
Explain how uncertainty shapes the choice among the three research approaches.
Which TV product attributes increase consumers’ quality perceptions the most?
Consumers care about screen quality the most.
Sales of Vizio Model XYZ 4K TV are low because consumers perceive its quality as inferior.
Determine consumers’ additional willingness to pay for each upgraded product attribute.
Which attributes should be improved—screen, sound, color clarity, refresh rate, processor, or price?
Determine which attributes consumers care about the most.
What is the cost of increasing quality for each attribute?
Consumers are willing to pay up to $100 more for a better refresh rate.
Determine the cost of upgrading the attributes.
What additional willingness to pay do consumers have for each upgraded attribute?
The firm can determine whether the rate is 3% or 1% before the mailing decision.
Lecture materials, instructions, announcements, and required data files will be posted on Canvas.
Hypothesis testing · Regression · Conjoint analysis
koraycosguner.github.io/tools.htmlPreliminary stages of marketing research
Choose an appropriate research approach
Secondary data
Primary data
Sampling
Preparation · Descriptive statistics and cross-tabulations · Hypothesis testing · Correlation and regression
Exploratory, descriptive, causal—or a combination.
Secondary or standardized data; interviews, focus groups, surveys, or experiments.
Design instruments with the analysis in mind, choose a sample, collect the data, and code it.
Interpret the results and translate them into managerial recommendations.
Use when little is known about the problem and the goal is to uncover insights, drivers, or decision alternatives.
Provide an accurate snapshot of customers, behaviors, or other aspects of the market environment.
Determine whether changing one variable causes a change in another.
How do consumers use smart-TV technology?
What percentage of households own a smart TV?
What factors increase smart-TV use?
Little prior knowledge
The problem is recognized, but its causes are unclear.
Search for underlying drivers
Ask what could be causing the problem.
Flexible, mostly qualitative methods
Literature reviews, interviews, and case studies.
Hypotheses are tentative
They may be vague or may not yet exist.
They know only that the customers are teenagers.
Teenage customers do not necessarily belong to the highest-income group.
They save money or ask their parents to buy products.
They spend mostly on accessories and shoes.
Their preferences can differ from their parents’ preferences.
Describe the existing situation
Build an accurate snapshot rather than prove causality.
Start with tentative hypotheses
The questions are more specific than in exploratory research.
Use structured, quantitative methods
Surveys, experiments, and statistical analysis.
Report measurable patterns
Example: 50% of people in Indianapolis drink beer once a week.
How do the demographic characteristics of online buyers differ from those of offline buyers?
What percentage of customers respond to a sales promotion?
Which shopping channels are used most often by retired consumers?
The chart compares Alberta with Canada over time. It reveals levels and patterns—not causal mechanisms.
One customer · multiple categories · different service costs
Across all customers, cross-buying shows a positive relationship with profits.
For some customers, cross-buying can be negatively related to profits.
Frequent cross-buyers may also complain more and demand more service, creating excessive losses.
The causal factor precedes the outcome.
The researcher can manipulate the causal factor.
Other variables are fixed or controlled.
Hypotheses are specific and the design is carefully structured.
Will the new TV commercial lead to stronger consumer preference for our brand?
Will mailing an attractive, more expensive brochure increase contributions from previous donors?
Will using computers for client management increase agents’ sales?
Customers would pay return shipping when the retailer determined that the customer was at fault.
Customers paid return shipping.
↓ 75%–100%spending decreasedCustomers were offered free return shipping.
↑ 158%–457%spending increasedNo return policy was offered.
Comparison groupDiscover plausible explanations.
Measure the situation and patterns.
Test a specific cause-and-effect claim.
Generate a broad set of possible explanations.
Measure which patterns are present and how common they are.
Narrow the plausible causes with causal evidence.
Discover what might be happening.
Measure what is happening.
Test why it is happening.