Ch12 (Extension) Database Marketing
Ch12 (Extension) Database Marketing
A) ambush marketing
B) viral marketing
C) database marketing
D) guerrilla marketing
A) Composite forecast
B) RFM analysis
C) Regression analysis
D) Delphi technique
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) 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 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) 2
B) 5
C) 1
D) 4
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) 111
B) 555
C) 123
D) 333
A) RFM analysis
B) market-basket analysis
C) composite analysis
D) regression analysis
A) relationship selling
B) cross-selling
C) value added selling
D) persuasive selling
A) market-basket analysis
B) RFM technique
C) Cooke method
D) decision tree
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