what to know slides Flashcards

1
Q

Basic

A

conducted without specific decision in mind and isnt usually addressing needs of a specific organizaiton

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2
Q

applied research

A

done to address specific marketing decisions for a specific firm

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3
Q

scientific method

A

way researchers use evidence to reach objectives in the world

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4
Q

4 processes in scientific method

A

use prior knowledge/idea generation
research question/hypothesis
hypothesis testing
conclusion

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5
Q

strategic marketing orientation

A

a marketing orientated firm must be customer oriented, think about long-run. adopt cross functional perspectives

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6
Q

tactical decision

A

short term (increasing the price of a product-you can easily decrease it)

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7
Q

strategic decision

A

long term (ex: expanding a business internationally)

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8
Q

when is marketing research needed?

A

time constraints
availability of data
nature of decision
benefits vs cost

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9
Q

marketing concept

A

how a firm provides value to customers more than on physical product or production process

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10
Q

backwards marketing research

A

start with the end goal in mind

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11
Q

deductive logic approach

A

ask the right questions (peel onion until you can determine business decision)

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12
Q

incremental decision-making

A

start with small decisions and build to specific insight

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13
Q

data

A

facts or recorded measures of certain phenomena

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14
Q

big dta

A

large quantities of data from multiple various sources that were not intended to be used together, they re available to be analytically applied to provide input to organizational decision making

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15
Q

Examples of big data

A

survey, financial reports, sales, blog, online clicks

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16
Q

information

A

data structured to support decision making or define relationship between two or more data points

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17
Q

intelligence

A

subset of information that actually has some explanatory power enabling effective decision being made

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18
Q

four characteristics that describe data

A

relevance
completeness
quality
timeliness

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19
Q

DSS

A

a system that helps decision makers confront problems through direct interaction with computerized databases and systems

20
Q

benefits of DSS

A
fewer errors
simplify things
speed up answering process
easy to consider alternatives
optimization
analytical insights
decision makers become smarter
21
Q

marketing analytics

A

general term for measuring relevant data and applying analytical tools to understand how to enhance market performance

22
Q

predictive analytics

A

a system linking computerized data for multiple sources to statistical tools that can search for predictive relationships and trends

23
Q

4 primary areas where analytics can be applied

A

market dynamics
market share dynamics
marketing dynamics
consumer dynamics

24
Q

market dynamics

A

what markets will grow/shrink and what drives this?

25
market share dynamics
how can i take market share from my competitor?
26
Marketing dynamics
how well do the various advertising channels work?
27
customer dynamics
what customers are most likely to defect/respond to my offer
28
ethical issues with tracking
on consumers behavior electronically
29
explorative
``` qualitative focus groups ideas generation observation problem solving ambiguous situations ```
30
descriptive
U&A segmentation tracking studies we have considerable understanding of the situation
31
confirmatory, predictive & causal
``` driver models forecasting casual analysis groups marketing mix models conjoint experiments ```
32
U&A
usage and attitude | describes characteristics of people, objects, groups, organizations, or environments.
33
why do a U&A study
want to address who what when where why how | want to get general understanding of market landscape
34
tracking
want to determine if marketing campaign is working | tracks brand awareness, brand effectiveness, and brand familiarity
35
NEVER ____ or _____ anything from your tracking study survey because this could influence audiences answers
Add or delete
36
segmentation studies
dividing people into distinct groups with distinct characteristics to target them with different marketing mixes
37
difficulty of segmentation
Large scale: many survey respondents many questions on survey segmentation not a well-defined process: many techniques
38
causality
relationship between cause and effect
39
causality requirements
1. temporal sequence: the appropriate causal order of events 2. there needs to be a relationship 3. Non Spurious association: absence of alternative plausible explanations
40
prediction
a forecast of the future, do not need causes
41
brand funnel
number of people aware is larger than those who consider. number of those who consider is greater than those who prefer it. Awareness --> consideration --> preferred
42
predictive research includes
factor analyses driver modeling list segmentation/customer base analysis experiments
43
validation
the action of checking or proving the validity or accuracy
44
interpolation
filling in gaps from given information, within a range to estimate
45
extrapolation
prediction based off of range of the info that you have