Title | MK 470 Exam 1 - Lecture notes 1-4 |
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Course | Marketing |
Institution | San Diego State University |
Pages | 7 |
File Size | 182.7 KB |
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These are all the notes from Nita Umashankar's MKTG470 class. They include the information on the slides as well as information she talked about in class. I received an A on this exam. ...
Exam 1 Lecture and Slide notes Surveys
Data source most closely observed by managers ● Transactional ● Relationship ● Benchmarking Limitations of Surveys ● Respondents may have a lack of memory or feel fatigued ● Are not good at following trends over long period of time or over real time ● Difficult to measure changes in the population because they are taken at single point in time ● Generally can not provide strong evidence for cause and effect Limitations of Segmenting on Demographics ● Assumes demographics correlate with behavior ● Very little understanding of the consumer themselves (we are very diverse and different)
Marketing Intelligence
Process of acquiring and analyzing information in order to understand the market (both existing and potential customers ) to determine the current and future needs and preferences,attitudes, and behavior of the market, and to assess changes in the business environment that may affect the size Why do we need it? ● Producers have little contact with consumers ● Channel has little knowledge of consumer preferences and attitudes, changing taste ● Need to understand competition ● Marketers need to be more accountable ● Customers are incredibly diverse and change over time and science needs to be used to capture this.
Marketing research Process
1. Agree on research process a. Problems / opportunities (MOST IMPORTANT) b. Decision alternatives and research users 2. Establish research objectives a. Research question and hypothesis b. Boundaries of study 3. Is benefit > cost 4. Design the research a. Design the questionnaire 5. Collect the data 6. Prepare and analyze data
7. Report research/ strategic recommendations Market Research
Types of Data
A critical part of marketing intelligence and helps by providing accurate, relevant and timely (ART) information ● Links consumer,public,customer to marketer through… ○ opportunity/problem ○ Evaluate actions ○ Monitor performance ○ Improve process 1. Strategy development a. Set performance objective b. Establish competitive advantage 2. Marketing program development a. product/channel decision b. Pricing c. Personal selling 3. Implementation ● Heterogeneity - subjects being different than one another due to random chance ● Variance- measures how far each number is away from the mean ○ Helps you see the volatility (rapid changes) ●
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Exploratory (can generate all possible reasons for a problem while descriptive and causal narrow down the causes) ○ Interviews ○ Focus groups ○ Observations Descriptive ○ Trade journals ○ Popular press articles ○ Research on industry as a whole ○ Ex. Glad Trash bags example Causal ○ Internal sales data ○ Big scale survey data ○ Content analysis ○ Social media scraping
* sample groups get larger from exploratory to causal Data deals with volume,velocity ,veracity (uncertainty) , and variety Types of Errors
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Sampling error - difference between a measure obtained from
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a sample of population and the true measure that can be obtained only from the entire population Non-sampling error- all other errors associated with a research project
Madewell (Recommerce)
Opportunity - hailed as the new ebay and new fast fashion; morally right because you are recycling
Examples Coke vs. Pepsi Twitter Yahoo vs. Marissa Mayer Stitch Fix (style quiz) Smart thermometer
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By converting the 4 point scale to a 5 point scale it allows for a neutral Use different words (sometimes and occasionally are too similar in meaning)
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Snapchat
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Tweets about coke outpaced tweets about pepsi by two to one by the past 90 days At her time at Yahoo the company had experienced decreasing employee morale and
Lets companies know areas where the flu is most occuring to generate ads to them more often Ethical vs privacy issue Snapchat is experiencing an inefficiency stage where they have the most users compared to Twitter but yet are making less ad revenue Longitudinal - everybody is likely to change over time Heterogeneity in behavior
Sources of Secondary Data Secondary Data
Limitations
● No control over data collection ● Collected for another purpose ● May not be accurate and may be outdated ● May not meet data requirements Benefits ● Low cost and effort ● Sometimes more accurate ● Sometimes only way to obtain data Internal sources of secondary data may include accounting data, sales reports, inventory management, customer database External sources may include online databases, trade directories, and published data sources Different types of data
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Cross-sectional - data at one single point in time across different samples ○ Little or at no expense ○ Does not tell you the cause and effect Longitudinal - tracks the same sample at different points in time ○ Not a lot of change or variance is occuring in between customers Panel - sample taken at multiple points in time across various customers
Static vs. Dynamic ● Static - the relationship between the different types of data does not change ○ Fixed size and are predictable ● Dynamic - structure grows as continuous information is required Unilever Ice Cream
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Capitalize on trend while trying to stay competitive Looked at their supply chain to see if it would be feasible
Observational Research (when do you use each?)
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Scanner data is used to look at behavior patterns ○ Independent variable (promotion, private vs generic, customer journey, complementary items) ○ Dependent variable (total purchase amount, variety seeking, interpurchase time) Home audit (Qualitative approach) is when companies come into your home and see how you use the product over time ○ Can help them see how product is being used and use the information to further market the product Mail Diary is panel data that customer pen down to describe
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how they use the product over time ○ Negative - selection bias may occur ■ You need a representative sample to avoid this ○ Customers may have a hard time recalling what they might have done with product Purchase Panel Data
Limitations ● Selection bias - proper randomization of sample group is not achieved and not representative of the entire population (the whom?) ● Mortality effect - the loss of subjects as the research continues throughout time. ○ Can fix this by creating incentives for the subjects ○ Can occur in Panel or longitudinal ● Testing effects (demand effect) - giving you the answer you want to hear or the answer that reflects my ideal self ○ There should be no leading questions and answers should not be public but more intimate and anonymous Benefits ● Analyze heavy buyers and their purchasing habits or characteristics ● Brand switching rate (loyal rate) ● Repeat purchase rate
Qualitative Insights Focus Groups vs. In-depth
Dominos Focus Group
Benefits (Focus Groups) ● More stimulation than an interviewing ● Less pressure ● Larger sample size Negative ● Random selection ● Statistical reliability (overall consistency of smaple) ● Projectability of research results ● Groupthink *in-depth interviews might be under testing demand effect ● ● ●
Changed perception, product, and process Merged to e-commerce by providing digital experience Used A/B testing against every process they implemented
Negative components User generated content
How to quantify UGC
Different types of measuring scales to capture attitude
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Themes (keywords used in reviews) +valence Ratio of negative to positive words Total words/ total sentences Conditional because it is dependent
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Nominal - objects assigned to mutually exclusive labeled categories that have no necessary relationship ○ Ex. Are you a resident of california? Race? ○ If you are not in one bucket you are in the other ○ Yes or No questions ○ Losing a lot of information Ordinal - ranks objects or arranges them in order by some common variable ○ Does not provide info on how much difference there is between options ○ Arithmetic options limited to median or mode Constant sum scale - respondents allocate a fixed number of rating points among serial objects to reflect relative purchase Ratio - type of interval scale with meaningful zero point ○ Is possible to say how greater one thing is from the other ○ Only scale that permits comparisons of absolute magnitude ○ Ex. what is your income? How old are you? Interval - numbers used to rank objects also represent equal increments of the attribute being measured ○ Differences can be compared ○ Entire range of statistical operations can be employed for analysis ○ 1-7
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*an unbalanced scale is not always wrong but depends on the variance of the topic and if people lean more toward positive or negative (traffic or complaint forms) Multiple- item scales
Types of Attitudes
Measure a sample of beliefs toward the attitude objects and combine the set of answers into an average score ● Likert scale - correspondents answer to which degree they agree or disagree with a statement ● Semantic-differential scale - respondents rate each attribute object on a number of five or seven point rating scales bounded by polar adjective or phrases ○ High price vs. low price are not trade offs and so all variance will go to one side of the scale Attitudes are mental states used by individuals to structure the way they
perceive their environment and guide the way they respond to it ● Cognitive (Knowledge) component ● Affective (liking) ● Intention (action) Standardization of measurement
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One to one - correspondence between the symbol and the characteristic in the object that is being measured Rules for the assignment should be invariant (never changing) over time and the objects being measured...