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multiple regression in marketing mix models.
if a company can find an important variable before their competitors find and use it, management can build its strategy around that variable to gain an advantage.
metric goal
dependent variable
marketing input
independent variable
line equation concept term
intercept
concept term given for the number before x. for example, y = 1.42x + 9.9
slope
slope also stands for
regression coefficient
what does R² represent
how accurate the line equation is
if R² is .601 what would that mean
about 60% of the data points are accurately predicted
if R² was 0.0 what would that mean
the line predicts none of the data points
if R² was 1.0 what would that mean
than the line predicts ALL of the points
is your p-value is 0.00 what does that represent
there is a 0% change that intercepts and slope coefficient will substantially change if you added population data or took a different sample from population
dv: superbowl ad liking - whats the iv
storytelling
dv: ad liking - whats the iv
dramatic acts (storytelling)
what was the resource allocation for super bowl ads (30 sec)
8 million
single variable linear regression model
just one iv
when do you want the tension level to be highest in the dramatic structure
act 3
linear regression is also known as
marketing mix modeling
4 p’s of marketing
price, product, promotion, place
prescriptive nature
if I allocate x-amount of time/$$/energy to iv, then i can expect an increase (or decrease) in dv
evaluation of the different slopes associated with all the added ivs
which iv slope coefficient among ivs is the biggest
slope is also known as
effect size
four key rules to determine a causal relationship between two variables
implementing a marketing activity increases sales
not implementing a marketing activity causes no increase in sales
implementing a marketing activity today affects sales in sequent time periods
there were no other established external/alternative factors affecting sales (MOST DIFFICULT)
dan willards marketing experiment
runs a/b test on package design elements and their effects on sales velocity
a/b test in our in-class questionnaire - condition a
mktg451 section students
a/b test in our in-class questionnaire - condition b
mktg495 section students
marketing experiment is what type
after-only experiment
when, in our questionnaire, is there experimental manipulation
section #3 - in our scenario
iv1 —> dv is what
isolated
marketing experiments
are the most effective scientific research method to test and isolate cause and effect relationships
after-only experiments are
monadic
before-after experiments are
sequential monadic
after-only experiment definition
just like a marketing experiment and a/b test. when you assign customers to either the test group or control group, show the new advertisement to the test group, show the old advertisement to the control group, and then measure the sales for each of the groups
before-after experiment definition
allows you to measure a metric goal of interest both before and after participants exposure to marketing inputs. would expose the test and control groups to the old advertising and the new advertising - measuring both the sales after each exposure
the main isolated relationship in a/b test
iv1
different reasons to using a coupon
iv1: the percentage discount
iv2: how discount is achieved
iv3: time of the year/holiday
iv4: digital/print
iv5: expiration date
iv6: frequency use of product
iv7: coupon usage simplicity
iv8: distribution location
conjoint analysis
manipulates a number of product attribute combinations to come up with an optimized product variation that consumers find most attractive —> measuring each product attributes importance level in purchase decision —> this often gets very interesting for expensive product categories
CLV stands for
customer lifetime value
CLV definition
the long term costs of keeping a customer vs the long term revenue potential of the customer for the company
B2B contracts
The intercept of a regression line equation specifies the value of “y” when “x”
is zero
The best way we have to isolate cause-and-effect relationships is to
run an experiment
Which of the following analytics creates a score that represents either a positive or negative overall emotion
text analytics
field experiments
conducted to test a campaign within a natural setting - rather than in a lab
web experiments
can be executed more quickly and cheaply than offline field experiments
you can manipulate more than one marketing input
natural experiments
a marketer observes the effect of certain naturally occurring incidents on customer behavior and other factors. need to find test and control groups
paid search advertising
technology of online auctions - they allow businesses to bid on the opportunity to put their ads in front of certain types of customer