Title | Marketing Research Lecture Notes |
---|---|
Author | Devin Ariyakumara |
Course | Marketing Research |
Institution | Monash University |
Pages | 44 |
File Size | 192.4 KB |
File Type | |
Total Downloads | 22 |
Total Views | 134 |
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Marketing Research lecture notes
03/04/2015
What is Marketing Research? Marketing research is the systematic and objective o Identification, o Collection, o Analysis, o Dissemination, and use of information.
It is for the purpose of improving decision making related to: Identification and Solution of problems and opportunities in marketing.
Marketing Research : Problem-Identification Research (Market potentials, Market
share, sales analysis, trends) Problem-Solving Research (segmentation, product, pricing, promotion, distribution)
The Marketing Research Process Step 1 : Defining the problem Step 2 : Developing an approach to the problem Step 3 : Formulating a research design Step 4 : Doing Field work or collecting data Step 5 : Preparing and analyzing data
Step 6 : Preparing and presenting the report
Its important to distinguish between management decision
problems (MDP) and marketing research problems (MRP) Define MRP : what marketing managers used to know and how the information
is obtained. (Information oriented) Broad statement Specific components Hypothesis Problem definition and approach to the problem
Difference between MRP & MDP
Management needs to make a decision about something (a
problem) for example in the . "Should we launch a new product?" "would it be profitable" and "bring in new customers". Research Problem is the information that the market research needs to provide in order to solve the problem. Sometimes known as the objectives. So it might be to find out - the appeal of the product, who does it appeal to? What price would they feel that it is good value for money. The research would feed this information back to management and management could then work out if the potential take up and price would ensure profitability. And thus answer their original management problem, should we launch the product
Formulating a research design
Exploratory research design – Secondary data, Primary data Conclusive research design – Descriptive research, Causal research
Collecting Data
Mail surveys Database Internet surveys Personal interviews Phone interviews Observation Sample
Data Analysis Data + Analysis + Insights Insights mean what we have learned from the analysis Recommendations can be findings be put into actions, if so how?, is
more research needed? Preparing and presenting the report It is important to have a close collaboration between researcher
and corporate decision maker. Work out precise and specific objectives of the research It is important to write well
Ethics Clients ethics : overt and covert purposes dishonesty in dealing with suppliers misuse of research information
Suppliers ethics : Violating clients confidentiality Improper execution of the research
Respondents ethics and rights : Privacy and safety Know the true purpose of the research Know the research results Decide which questions to answer
Because research can be expensive its it important that it becomes
valuable. Therefore before embarking on a research project we need to carefully evaluate costs and benefits.
Planning for Research
03/04/2015
Defining the problem: Problem faced by managers and turning it into a well-defined, well articulated and solvable problem for marketing.
MDP -------------- MRP -------- Research questions,
hypothesis
Characteristics of MDP: What the decision maker needs to do Action oriented Focuses on symptoms Vague
Not clear how to solve
MRP structure: Overarching (central) statement – broad summary of research
goal Specific component – provide clear guidance on proceedings When, Where, Who, Why, What research on problem areas
Scientific and measurable
Characteristics of the MRP: What information is needed and how it should be obtained. Information oriented
Focuses on underlying causes
Clearly defined and articulated
Deriving MRP from MDP Gathering information and understand problem situation. Synthesizing the information gathered and recognizing the key
factors. Trial and error
How to arrive at the MRP Key recognition Conceptual – product attitudes and customer needs Systematic approach – product attribute and customer needs Answering to your MRP it should provide a solution to the MDP to
become a well defined MRP. Develop an approach to the problem Research questions Hypothesis
Specifications on information
Research questions (RQs) are refined statements of the specific
components of the problem.
Hypothesis (H): is an unproven statement or proposition about a
factor that is of interest to the researcher. What is research design: Plan to guide the implementation of a research study. Details the procedures necessary for obtaining the information needed to structure or solve marketing problems.
Research Design Exploratory research design: o Secondary data o Qualitative research:- Focus groups, In-depth interviews
& projective techniques Conclusive research design: o Descriptive research – characteristic or functions o Causal research – cause and effect
Types of data: Secondary Primary
(Always start from secondary data)
Quantitative: variables allocating a number to represent attitudes,
Qualitative data: narrative, describes attitudes, opinions
opinions.
Task involved in formulating a research design: Define the information needed. Design exploratory/descriptive/or causal phases. Specify the measurements Construct and pretest questionnaires
Specify the sampling process Develop a plan of data analysis
What is a research proposal: a written document that contains the
essence of the research project and serves as contract between researcher and management.
Structure if a marketing research proposal Executive summary Research problem Research approach Research design
Reporting, costs & timing Appendix
Secondary Data
Marketing research data:
03/04/2015
Primary data
Secondary data
What is secondary data? Data which has already been collected for purposes other than the problem at hand.
What is primary data? Which is originated by a researcher for the specific purpose of addressing the problem at hand.
Its important on the step of formulating a research design.
Few secondary data: Company internal data Government census Industry statistics
Marketing research organizations Books Academic journals
Blogs
Secondary data can be found useful under exploratory research for
descriptive research and causal research. Why use secondary data?
Readily available Cheap
Provide useful info, insight Possibility of solving problems without collecting any primary data.
Main drawbacks of using secondary data: Prior data manipulation Data relevancy o Time period o Unit of measure
Data accuracy (Credibility)
Comparison between primary and secondary data:
Collecting purposes Primary data for the problem at hand For other problems
Collection process PD very involved
SD rapid and easy
Collection cost PD cost high SD relatively low
Collection time PD takes a Long SD takes a Short
Types of Secondary Data: Existing literature Company internal data
Government data Syndicated data
In order for existing literature to help you with research you should
provide historical background and reveal existing information.
Clarify and define the research problem and research questions.
Suggest research hypothesis to investigate.
Types of existing literature:
Marketing research studies on similar topics
Books Academic journal articles Newspapers
Blogs
Online sources for existing literature: Electronic searches Scholarly searches o Peer-reviewed scholarly articles (Google scholar)
Company internal data: Sales invoices Customer data Product data
Sales reports
Advantages of internal data: Easily available Inexpensive
Known quality
Application of internal data: Database marketing Database marketing :- Involves the use of computers to capture
and track customer profiles and purchase details Analytical and Modeling:o Behavioral segmentation o Modeling and prediction of churn
Government data: Australian bureau of statistics is the source for many key demographics and economic indicators. o Population o Census Data o Consumer price index
Advantages of government data: Generally reliable Easy access Purpose and method of data collection is well documented and publically available
Syndicated services Companies that collect and sell common pods of data of known commercial value designed to serve a number of clients. o TV program ratings
Syndicated sources can be classified based on the unit of measurement. o Electronic scanner services
Syndicated service providers: ACNielsen Roy Morgan search TNS
BIS Shrapnel
Households provide specific information regularly over an extended
period of time, and respondents asked to record specific behaviors. Sales at electronic checkout counters, aggregate by brand, size and price and brands in spending are collected using volume tracking using scanner data. Big Data:
Volume is large its 2.5 Exabyte per day Velocity is real time information processing
Variety is tracking, user generated, GPS.
Benefits of Big data: Cold hard facts Linking different sources of data Predictions Real time prediction Big data application – E.g. Google provided data on how often a particular search term is entered relative to the total search volume.
Qualitative & Descriptive Research Methods 03/04/2015
Qualitative research methods: E.g. Gillett razor for women: MDP – How to create a new generation of razors for women Exploratory research – qualitative research (depth interview) What is Qual? An unstructured, exploratory research methodology based on small samples that provide insights and understanding of the problem setting.
Classification of Research procedures: Direct o Focus groups o Depth interviews
Indirect o Projective techniques Association
Completion Construction Expressive
When to use Qual? When insight is more important than accurate description. Complexity of subject matter Qualitative Vs. Quantitative research: Qualitative: Gain understanding of the underlying situation. Small number of representatives Unstructured
Quantitative: Quantify the data and generalize the results Large number of representatives Structured
Non-statistical Develop an initial understanding
Statistical Recommend a final course of action
Focus Groups: Definition – non structured interview of a small group of
respondents by a trained moderator. Most popular form of qualitative research
Rationale – probing, unstructured discussion, ability to observe Format – 8 to 10 individuals
Moderator – Facilitator Duration – 1 to 2 hrs long Tools - Product, product concepts, ad copy and questionnaires.
Client report – Moderator subjective assessment & video with
transcript of discussion Procedures for conducting a focus group: Design the focus group environment
Recruit and select focus group participants Select a moderator
Prepare the discussion guide Conduct the group interview
Prepare the focus group report
Pros and Cons on focus groups
Pros:
Good for getting in depth information
One persons experiences or feelings Highlight difference between consumers Allows for spontaneity
Cons: Results cannot be quantified Not representative
Depth interviews: Rationale – Aims at gaining insights Format – One on One
Difficulty in getting attendees Minority view points may not be heard
Duration – 30+ minutes Tools – Interview guide, tape interview
Pros: Can uncover deep insights Results in a free exchange of information
When the topic is complex its possible to get at real issues.
Cons: Skilled interviews are expensive Data obtained are difficult to analyze and interpret High costs limits the number of depth interviews
Projective Techniques: Definition – Indirect techniques that encourages respondents to
project Rationale – Certain issues are not amendable to direct
questioning. Format – Projective techniques Tools – Visual props, open ended questionnaires
Association Technique: Subject is presented with a list of words, one at a time, and asked to respond with the first word that comes in to mind. Responses are analyzed by calculating responses. Sentence completion: Respondents are required to complete a number of partial sentences with the first word that comes into their mind.
Construction techniques: Projective technique in which the respondent is required to construct a response in the form of a story.
Expressive technique: Respondent is asked why a third party would behave in a certain way or what they think about a product.
Projective technique Pros & Cons: Pros: Mask the real purpose of the study Good in addressing personal, sensitive issues. Capturing what is going on at subconscious level
Cons: Requires highly skilled interviewers Skilled interpreters are also required to analyze the responses Serious risk of interpretation bias
Tend to be expensive Engage in unusual behavior
Warning about qualitative research: Cannot take place of conclusive
Can lead to incorrect decisions
Most techniques use small samples that may not be representative
Descriptive research methods Surveys Observation Rationale – Enable quantification of opinions, preferences by a
medium. Format – Scaled questions, open ended questions Timeframe – On-going Vs. One shot Tools – Mail, telephone, personal interview, email
Classification of Survey methods Telephone – traditional or computer assisted. Personal – in-home Mail – fax, post Electronic – email, internet Advantages of Survey research Ease Reliability
Simplicity
Disadvantage of Survey research Respondents may be unable or unwilling to provide the desired
information Structured data collection involving questionnaires with a fixed
response choices may result in loss of validity for certain types of data. Properly wording questions is not easy
Observation Research Respondents may not give “truthful” answers, useful supplements to other techniques. E.g. – Supermarket scanner data, people meter, eye tracking
Pros:
Measure actual behavior rather than intended or preferred
behavior There is no reporting bias Certain types of data can be collected only by observation
Sometimes can be Cheaper and faster
Cons: Selective perception In some cases the use of observational methods may be
unethical Often time consuming and expensive
Questionnaire Design and Sampling Plan 03/04/2015
When to use descriptive research?
Answering specific questions concerning who, what, when,
where, why and how about the target population. Identify relationships between the marketing variables.
Survey is the most common method for descriptive research.
Survey is a quantitative research method: Characteristics of a survey: Formalized questions Pre-determined response options Employed to measure and quantify people’s thoughts, feelings
and behavior. Administered to a large number of responses.
Variables Vs. Constructs Variable is an observable, measureable attribute of an object. o E.g. Income, education, gender
Construct is an unobservable, abstract concept that is measured indirectly by a group of related variables. o E.g. Service quality, customer satisfaction, brand loyalty.
Why should we care about variables/constructs?
E.g. Is the country of origin important for customers’ evaluation of cars. Variable “Country of Origin”
Relevance to hypothesis development is statements are about
variables and relationships.
Hypothesis are based on prior or expert knowledge. Must be testable with data.
Questionnaire design: Definition – is a formalized set of questions for obtaining information from respondents.
Questionnaire Design Process: Specify the information needed Specify the type of interviewing method ...