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Marketing Final Study Guide Cheat Sheet (DRAFT) by

Week 9 to End of Semester

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Market Research & Inform­ation Systems

Research and Risk: helps to reduce risks associated with a new product but it cannot take away the risk entirely
Market Research: often needed to ensure that we produce what customers really want and not what we think they want
"­Inv­est­men­t": to reduce uncert­ainty
Help guide decisions: whether to enter, product charac­ter­istics, promotion strategy, positi­oning
Weight costs and benefits of research: money, time spent
No perfect method: tradeoffs between methods, things can change in the market­place (changes in customer taste, competitor product intro, etc.)
Marketing Inform­ation System: set of procedures and methods for regular collection (built over time/r­eadily obtain­able) and analysis of inform­ation for marketing decisions
Databases: intern­ational inform­ation (sales volumes)
Primar­y/S­eco­ndary Market Research
Data Mining: processing of vast amounts of data to find relati­onships between variables
Strategic adjace­ncies: items that are frequently purchased together are placed together in retail settings (serve as a "­tri­gge­r" if forget to go a specific section)
Season sales patterns, customer segments
Primary Research: you design and conduct yourself
Precision Methods: deeper unders­tanding with large sample size but less flexib­ility
Ex. experi­ments, surveys, panel, scanner data
Surveys: useful for getting a great deal of specific inform­ation at usually low costs
Vulnerable to bias based on wording of the question, face-face interview bias
Generally useful to employ continuum scales: scale 1-10 then yes/no - brand loyalty, interest, knowledge, etc
PROS: condit­ional branching allows a direct skip to a relevant question`
CONS: quality of response (time pressures, willin­gness to write out answer­s/r­espond to multiple closed­-ended questions, willin­gness to read/f­ollow directions is limited), reliab­ili­ty/­browser compat­ibility issues
Experi­men­tation: helpful when determ­ining what people do rather than what they say/think they will do; useful to attempt determ­ining causality (High Costs)
Control for factors that are not = in real life (tips more likely with CC because company card?), rule out altern­ative experi­ments (increase # accidents bc of holding phone or phone distra­ction)
Different groups of people must be treated differ­ently OR the same individual must be given different treatments at different times
Scanner Data (Super­market Club): membership card grants discou­nts/gas benefits which allows for analysis of purchase histories to direct coupons (competing brand/free product)
Scanner Data (Panel): MOST USEFUL; all local retailers included, TV viewing (ads), and demogr­aphics (family size, occupa­tion, income)
Split Cable Tech (TV Viewing): randomly select 1/2 penel to receive 1 advert­ising treatment and other 1/2 another (allow for sampling error because receive 1 treatment or other)
Scanner Data (Aggre­gated Retail Sales Records): sales volume of products by UPC may be available from an assortment of retail­ers­/data available for more product categories (not tied to individual consumer data = cannot relate to other things at store)
Triangle Measure: each respondent given 3 items (current, new, duplicate of either old/new) and asked to identify the one that is different and explain why
Explor­ative Methods: get a basic unders­tanding of issues that may surround a product or practice; smaller partic­ipation so cannot generalize to overall popula­tion;
Flexib­ility: if a customer says something intere­sting in an interview, follow-up questions can be asked
Ex. observ­ation, in-depth interview, focus groups, projective techniques
Observ­ation: look at consumers in the field of selecting products can yield insights into how they make decisions and what they look for (Low-High Cost depend on coding­/an­alysis)
Ex. search for product category area, # of products inspec­ted­/time spent on each, apparent scrutiny of labels­/other info, involv­ement of others, behavior under limiting circum­stances
Secondary Research: using inform­ation that others have already put together
Focus Group: (most approp­riate as an early stage method/not best or default research) groups of 5-12 consumers assembled, start out talking generally about context of product, gradually "­foc­us" in on actual product (High costs)
Uses: identify possible issues of concern with a new product, probing complex issues where different factor­s/i­ssues may affect opinions, probing differ­ences in perspe­ctives among different groups, very prelim­inary pilot testing of ideas, identify actual language used by customers
Compos­ition: members of group should generally be similar in terms of affect of comfort with speaking openly (socioeco, age, gender), if target market crosses the variables, different focus groups should be run, may be helpful to run them in different geographic areas
Dynamics: facili­tator should allow members to talk as much as possible to get views/­per­cep­tions, gently attempt to steer the group in desired direction, probe/ask for elabor­ation when intere­sting ideas are raised (may involve activi­ty/­sam­pling product)
Caveats: small sample size even with many groups, opinions are not indepe­ndent due to social influence, issues identified should be examined with more powerful methods using larger sample sizes (SHOULD STUDY MORE PRECISELY)
PROS: getting breadth - what kinds of issues are important for consumers in a given product category
CONS: inherently social; say things to make them look good, reluctant to speak on embarr­assing issues
In-depth Interv­iews: questi­oning of an individual about his or her interest in or experi­ences with a product (More Costly than focus group)
Struct­ured: Planned set of questions vs. Unstru­ctured: Go where discussion takes you
Difficult to generalize to other consumers but identify contra­sting types of consumers (useful for highly emotional, identity involved products - car, clothes)
Projective Techni­ques: used when a consumer may feel embarr­assed to admit to certain opinions, feelings, or prefer­ences (tend to discuss other people instead; getting at motiva­tions not consci­ously known) (Usually high cost)
Physio­logical Measures: occasi­onally used to examine consumer response at various phases of advert­ise­men­t/m­ark­eting exposure (High Cost)
Tracks eye movements (areas of focus, for attent­ion­/in­vol­vem­ent), heart rate, skin conduc­tivity, brain waves (state of mind/a­tte­ntion)
Real-Time Response Over Time: asked to move a lever or dial to adjust how much like it, agree with, or is positive toward some message over time
Test which statements are more effective in persuasion or bring about favorable affect
Conjoint Analysis: determine relative importance of various attributes of a product
1. Consumers rate several "­pro­fil­es" (combi­nations of features) 2. Statis­tical analysis is used to "­dec­omp­ose­" ratings into prefer­ences
Ex. rank car 1 overall and car 2 overall after given all facts about each

Market Research & Inform­ation Systems

Secondary Research: using inform­ation that others have already put together
Primary Research: you design and conduct yourself
Research and Risk: helps to reduce risks associated with a new product but it cannot take away the risk entirely
Market Research: often needed to ensure that we produce what customers really want and not what we think they want

Market Research & Inform­ation Systems

Research and Risk: helps to reduce risks associated with a new product but it cannot take away the risk entirely
Market Research: often needed to ensure that we produce what customers really want and not what we think they want
"­Inv­est­men­t": to reduce uncert­ainty
Help guide decisions: whether to enter, product charac­ter­istics, promotion strategy, positi­oning
Weight costs and benefits of research: money, time spent
No perfect method: tradeoffs between methods, things can change in the market­place (changes in customer taste, competitor product intro, etc.)
Marketing Inform­ation System: set of procedures and methods for regular collection (built over time/r­eadily obtain­able) and analysis of inform­ation for marketing decisions
Databases: intern­ational inform­ation (sales volumes)
Primar­y/S­eco­ndary Market Research
Data Mining: processing of vast amounts of data to find relati­onships between variables
Strategic adjace­ncies: items that are frequently purchased together are placed together in retail settings (serve as a "­tri­gge­r" if forget to go a specific section)
Season sales patterns, customer segments
Primary Research: you design and conduct yourself
Precision Methods: deeper unders­tanding with large sample size but less flexib­ility
Ex. experi­ments, surveys, panel, scanner data
Surveys: useful for getting a great deal of specific inform­ation at usually low costs
Vulnerable to bias based on wording of the question, face-face interview bias
Generally useful to employ continuum scales: scale 1-10 then yes/no - brand loyalty, interest, knowledge, etc
PROS: condit­ional branching allows a direct skip to a relevant question`
CONS: quality of response (time pressures, willin­gness to write out answer­s/r­espond to multiple closed­-ended questions, willin­gness to read/f­ollow directions is limited), reliab­ili­ty/­browser compat­ibility issues
Experi­men­tation: helpful when determ­ining what people do rather than what they say/think they will do; useful to attempt determ­ining causality (High Costs)
Control for factors that are not = in real life (tips more likely with CC because company card?), rule out altern­ative experi­ments (increase # accidents bc of holding phone or phone distra­ction)
Different groups of people must be treated differ­ently OR the same individual must be given different treatments at different times
Scanner Data (Super­market Club): membership card grants discou­nts/gas benefits which allows for analysis of purchase histories to direct coupons (competing brand/free product)
Scanner Data (Panel): MOST USEFUL; all local retailers included, TV viewing (ads), and demogr­aphics (family size, occupa­tion, income)
Split Cable Tech (TV Viewing): randomly select 1/2 penel to receive 1 advert­ising treatment and other 1/2 another (allow for sampling error because receive 1 treatment or other)
Scanner Data (Aggre­gated Retail Sales Records): sales volume of products by UPC may be available from an assortment of retail­ers­/data available for more product categories (not tied to individual consumer data = cannot relate to other things at store)
Triangle Measure: each respondent given 3 items (current, new, duplicate of either old/new) and asked to identify the one that is different and explain why
Explor­ative Methods: get a basic unders­tanding of issues that may surround a product or practice; smaller partic­ipation so cannot generalize to overall popula­tion;
Flexib­ility: if a customer says something intere­sting in an interview, follow-up questions can be asked
Ex. observ­ation, in-depth interview, focus groups, projective techniques
Observ­ation: look at consumers in the field of selecting products can yield insights into how they make decisions and what they look for (Low-High Cost depend on coding­/an­alysis)
Ex. search for product category area, # of products inspec­ted­/time spent on each, apparent scrutiny of labels­/other info, involv­ement of others, behavior under limiting circum­stances
Secondary Research: using inform­ation that others have already put together
Focus Group: (most approp­riate as an early stage method/not best or default research) groups of 5-12 consumers assembled, start out talking generally about context of product, gradually "­foc­us" in on actual product (High costs)
Uses: identify possible issues of concern with a new product, probing complex issues where different factor­s/i­ssues may affect opinions, probing differ­ences in perspe­ctives among different groups, very prelim­inary pilot testing of ideas, identify actual language used by customers
Compos­ition: members of group should generally be similar in terms of affect of comfort with speaking openly (socioeco, age, gender), if target market crosses the variables, different focus groups should be run, may be helpful to run them in different geographic areas
Dynamics: facili­tator should allow members to talk as much as possible to get views/­per­cep­tions, gently attempt to steer the group in desired direction, probe/ask for elabor­ation when intere­sting ideas are raised (may involve activi­ty/­sam­pling product)
Caveats: small sample size even with many groups, opinions are not indepe­ndent due to social influence, issues identified should be examined with more powerful methods using larger sample sizes (SHOULD STUDY MORE PRECISELY)
PROS: getting breadth - what kinds of issues are important for consumers in a given product category
CONS: inherently social; say things to make them look good, reluctant to speak on embarr­assing issues
In-depth Interv­iews: questi­oning of an individual about his or her interest in or experi­ences with a product (More Costly than focus group)
Struct­ured: Planned set of questions vs. Unstru­ctured: Go where discussion takes you
Difficult to generalize to other consumers but identify contra­sting types of consumers (useful for highly emotional, identity involved products - car, clothes)
Projective Techni­ques: used when a consumer may feel embarr­assed to admit to certain opinions, feelings, or prefer­ences (tend to discuss other people instead; getting at motiva­tions not consci­ously known) (Usually high cost)
Physio­logical Measures: occasi­onally used to examine consumer response at various phases of advert­ise­men­t/m­ark­eting exposure (High Cost)
Tracks eye movements (areas of focus, for attent­ion­/in­vol­vem­ent), heart rate, skin conduc­tivity, brain waves (state of mind/a­tte­ntion)
Real-Time Response Over Time: asked to move a lever or dial to adjust how much like it, agree with, or is positive toward some message over time
Test which statements are more effective in persuasion or bring about favorable affect
Conjoint Analysis: determine relative importance of various attributes of a product
1. Consumers rate several "­pro­fil­es" (combi­nations of features) 2. Statis­tical analysis is used to "­dec­omp­ose­" ratings into prefer­ences
Ex. rank car 1 overall and car 2 overall after given all facts about each