Deck 24: Database Marketing
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Deck 24: Database Marketing
1
________ is a way of analyzing and ranking customers according to their purchasing patterns.
A)Composite forecast
B)RFM analysis
C)Regression analysis
D)Delphi technique
A)Composite forecast
B)RFM analysis
C)Regression analysis
D)Delphi technique
B
2
The RFM score is obtained by ranking customers based on the positive feedback for a product after purchasing it.
False
3
In RFM analysis,an R score of 5 shows that ________.
A)a customer has not made any recent purchases
B)a customer has bought the most expensive items
C)a customer has frequently ordered expensive items
D)a customer has purchased the least expensive items
A)a customer has not made any recent purchases
B)a customer has bought the most expensive items
C)a customer has frequently ordered expensive items
D)a customer has purchased the least expensive items
A
4
Which of the following RFM scores refers to the most valuable customer?
A)111
B)555
C)123
D)333
A)111
B)555
C)123
D)333
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5
Which of the following is the first step in the process of producing an RFM score?
A)dividing the customers according to the amount spent on purchases
B)sorting customer purchase records based on the purchase frequency
C)sorting customer purchase records by the date of most recent purchase
D)dividing customers into two groups based on the gender and giving each group a score
A)dividing the customers according to the amount spent on purchases
B)sorting customer purchase records based on the purchase frequency
C)sorting customer purchase records by the date of most recent purchase
D)dividing customers into two groups based on the gender and giving each group a score
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6
The frequency of customer purchases is not a determining factor for RFM scores.
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7
In RFM analysis,an F score of 1 shows that ________.
A)a customer has bought the least expensive items
B)a customer has frequently placed orders
C)a customer has always bought the most expensive items
D)a customer has rarely made a purchase
A)a customer has bought the least expensive items
B)a customer has frequently placed orders
C)a customer has always bought the most expensive items
D)a customer has rarely made a purchase
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8
In RFM analysis,customers who have bought the least expensive items are indicated by an M score of ________.
A)2
B)5
C)1
D)4
A)2
B)5
C)1
D)4
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9
What is database marketing?
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10
RFM analysis is a complex technique that is difficult to implement.
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11
Describe the process of conducting RFM analysis.
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12
Data mining techniques are essential for database marketing.
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13
Customers with an RFM score of 555 are highly valued by organizations.
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14
A reporting system that generates RFM data can be automated.
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15
Which of the following marketing techniques refers to the application of business intelligence systems to the planning and execution of marketing programs?
A)ambush marketing
B)viral marketing
C)database marketing
D)guerrilla marketing
A)ambush marketing
B)viral marketing
C)database marketing
D)guerrilla marketing
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16
A high F score denotes that the customer has bought an expensive item recently.
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17
Databases are not a key component of database marketing.
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18
RFM scores are basically beneficial to salespeople,as it gives a clear picture of a customer's buying pattern.
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19
RFM analysis can be a useful tool to determine the best customers based on the frequency of their purchases.
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20
Cheryl Inc. ,a leading cosmetics manufacturer,wants to identify its most valued customers.Each customer is assigned an RFM score based on their purchasing patterns.One of their valued customers has an RFM score of 545.In this case,the ideal action for Cheryl's sales team is to ________.
A)up-sell more expensive goods to this customer
B)contact this customer immediately
C)not waste any time on this customer
D)set up an automated contact system for this customer
A)up-sell more expensive goods to this customer
B)contact this customer immediately
C)not waste any time on this customer
D)set up an automated contact system for this customer
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21
________ shows how much the base probability increases or decreases when other products are purchased.
A)Lift
B)Support
C)Confidence
D)Cohesion
A)Lift
B)Support
C)Confidence
D)Cohesion
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22
Define the three market-basket terminologies: support,confidence,and lift.
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23
Groups created by decision tree algorithms are as different from each other as possible.
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24
A market-basket analysis is used to explore cross-selling opportunities.
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25
Decision tree analysis is a data mining technique that requires a high degree of supervision.
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26
In market-basket terminology,the ratio of confidence to the base probability of buying an item is called ________.
A)cohesion
B)support
C)confidence
D)lift
A)cohesion
B)support
C)confidence
D)lift
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27
In marketing transactions,the fact that customers who buy product X also buy product Y creates a ________ opportunity.
A)relationship selling
B)cross-selling
C)value added selling
D)persuasive selling
A)relationship selling
B)cross-selling
C)value added selling
D)persuasive selling
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28
What is a market-basket analysis?
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29
A cross-selling opportunity is created when a consumer purchases only a single product.
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30
Which of the following is the basic idea of the decision tree technique?
A)to perform an RMF analysis and rank consumers according to their purchasing patterns
B)to select attributes that are most useful for classifying entities on some criterion
C)to produce computer programs for information systems
D)to use the minimum difference among groups created by the decision tree algorithm
A)to perform an RMF analysis and rank consumers according to their purchasing patterns
B)to select attributes that are most useful for classifying entities on some criterion
C)to produce computer programs for information systems
D)to use the minimum difference among groups created by the decision tree algorithm
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31
The more frequently two items occur in the same transaction,the higher the probability of them being purchased together.
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32
In market-basket terminology,a conditional probability estimate is referred to as ________.
A)support
B)cohesion
C)confidence
D)chance
A)support
B)cohesion
C)confidence
D)chance
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33
Which of the following techniques uses a hierarchical arrangement of criteria to predict a classification or value?
A)market-basket analysis
B)RFM technique
C)Cooke method
D)decision tree
A)market-basket analysis
B)RFM technique
C)Cooke method
D)decision tree
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34
In market-basket terminology,the term used to represent the probability that two items will be purchased together is ________.
A)confidence
B)support
C)cohesion
D)assurance
A)confidence
B)support
C)cohesion
D)assurance
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35
Which of the following statements is true about decision trees?
A)Few decision trees can be transformed into a set of If/Then rules.
B)Decision tree analysis is a supervised data mining technique.
C)The algorithms used in decision trees are similar to each other.
D)Decision tree programs produce computer programs for trees set up by analysts.
A)Few decision trees can be transformed into a set of If/Then rules.
B)Decision tree analysis is a supervised data mining technique.
C)The algorithms used in decision trees are similar to each other.
D)Decision tree programs produce computer programs for trees set up by analysts.
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36
A market-basket analysis shows the products that customers tend to buy together.
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37
The ratio of confidence to the base probability of buying an item is called support.
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38
Which of the following is a data mining technique for determining sales patterns?
A)RFM analysis
B)market-basket analysis
C)composite analysis
D)regression analysis
A)RFM analysis
B)market-basket analysis
C)composite analysis
D)regression analysis
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39
What are decision trees? How do they classify people into groups?
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40
A minimum difference among groups is used as the criterion for constructing the decision tree.
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