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Methods in CB & Prospect + Context Theory
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Sources of Secondary Data
Internal records
External Source’s — Published Data, Standardized Sources of Marketing Data, the Internet
General Data Rule
Collect secondary data first, then turn to primary data
Advantages of Secondary Data
Time Savings
Low Cost
Disadvantages of Secondary Data
May be out of date
Definitions or categories might not be what you’re looking for
Might not be specific enough for your project
Exploratory Data
qualitative methods are exploratory
generate ideas
Qualitative - in-depth interviews, focus groups
Quantitative - observation
Descriptive Data
generate numbers and relationships
Qualitative - case studies
Quantitative - surveys, data mining
Casual Data
assess cause-effect
Quantitative - experiments, test-markets (quasi-experiment)
Test Market
is quasi-experimental because it does not rely on random assignments — instead it is determined by the people’s pre-existing conditions (ex: proximity to story)
Classic Shopping List Study (Haire 1950)
Identified barrier to buying the product — how one is perceived by others
Solution: better to cross-promote the product and advertise it as a product that is not lazy, but a better way to balance your time among responsibilities
Survey Data
the heart of Consumer Behavior (very common!)
Survey Data Advantages
Useful for measuring lots of things — attitudes, knowledge, intentions, brand awareness
Easy to execute and analyze
Survey Data Disadvantages
Subject to sampling bias
Subject to social desirability bias
Can measure correlation but not causation
Experimental Research
Objective: test hypotheses about casual relationship between variables
Look at effect of independent variable (the variable you manipulate/change), on dependent variable (the variable you’re measuring)
Different groups of consumers get different “treatments”, or versions of independent variable
Helps determine CAUSALITY
Relationship between Correlation and Causation
correlation DOES NOT EQUAL causation
Correlation
relationship between two variables
Causation
one variable producing an effect in another variable
3 factors necessary for Causation
Correlation
Temporal Antecedence — does the cause come before the effect?
No third factor driving both your supposed cause and effect, called lurking variable
Lurking Variable Example
Do more churches cause more crime? NO, population is the lurking variable because the more people, the more churches, and the more # of crimes
Requirements to establish Casualty
Control/manipulate the cause (independent variable) and hold everything else constant
The cause (independent variable) has to precede the effect
Random assignments - makes experimental groups statistically equivalent
3 Rules of Decision Making
People act differently when something is framed as a loss vs a gain
Losses loom larger than gains
Evaluations are driven by individual events, not total outcome
Implication: Separate gains, Aggregate losses
Frame of Questions
decisions are influenced by the way a set of choices is presented
two versions of a problem — that are essentially the same — can lead to different choices
Framing should NOT make a difference in choice, but it DOES
Rule #1: Loss/Gain framing changes risk-taking
Consumers sometimes prefer risky options over non-risky options and vice versa
Risk-Seeking vs Risk-Averse
Risk-Seeking
when the choices are perceived as losses (death)
Risk-Averse
when the choices are perceived as gains (lives saved)
Loss Aversion
people tend to be more sensitive to losses than to gains
Loss Aversion: Endowment Effect
merely possessing something makes it more valuable to you, meaning you perceive it having a higher monetary value simply because you own it
Seller focus on what they stand to lose — the product
Buyer focus on what they stand to lose — the money
Sellers and Buyers set very different prices on goods
Loss Aversion: Status Quo Bias
preference for the current state of affairs over change
manifests as resistance to change
when considering change, the risk of loss psychologically outweighs the potential for gains
encourages brand loyalty — continue using the same product even when other options are available
Sunk Cost Effect
tendency to continue investing resources in an endeavor, even if its no longer favorable, simply because of past investments (that cannot be recovered)
Gain Framing
frame a situation as a gain to make it more favorable (discount vs surcharge)
Prospect Theory (Kahneman & Tversky)
replaces expected utility (objective) with subjective utility (how we see things): incorporates the human element of evaluation
people don’t follow a traditionally “rational” theory of choice
Prospect Theory: Reference Points
determines whether something is coded as a “gain” or a “loss”
status quo
subset: reference prices
what we paid last time
average price
the exemplar
salient price or numbers
Integrate Losses
Car dealers list price in one lump sum
Segregate Gains
Car descriptions list out attributes separately
Silver Lining
$500 cashback when you buy a Nissan
Couple Losses with Gains
Paycheck deductions for insurance, parking, investments
Mental Accounting
money is not 100% fungible ($25 =/ $25)
Although $ has an objective value, its subjective value changes based on the situation
How you spend your paycheck vs tax refund
We put money into different mental accounts (rent, car, entertainment)
Situational factors can change what you’re willing to pay
Managerial Implications: Compromise Effect
important for businesses selling an intangible product that is not easily comparable
Sonoma’s $275 bread bakery machine suffered from weak sales -? Introduced a $415 model and sales of the $275 doubled
Retail Businesses
Give customers three related choices at three different prices
Avoid one-of-a-kind items sitting on shelves isolated from comparable products