Deck 25: Atabase Marketing, E-Commerce, Relationship
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Deck 25: Atabase Marketing, E-Commerce, Relationship
1
A company's strategy should be uniform for the entire customer group.
False
2
A rewards program gives points for buying goods and services and something that can be accumulated over time and redeemed for a benefit in the future
False
3
Customer DNA is an approach for understanding and measuring customers' specific needs and wants.
True
4
Segmentation profiles most and least profitable customers into groups
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5
With a database, marketers cannot profile prospective customers
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6
Through database technology, an organization can at last identify its loyal customers, its repeat purchases, and its one-time only " triers" in well-defined market segments
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7
Information pertaining to customer habits, preferences helps to identify the most and the least profitable customers.
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8
The entertainment component of e-commerce is more developed than many of its functional aspects.
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9
Customer equity of a firm is the total economic worth of a firm's customer asset.
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10
Primary data is the only means by which information on customers can be selected.
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11
A direct seller has the ability to build a profile of customer choices based on a much Wider array of businesses than an on-line intermediary.
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12
Customers who are the most profitable always hold the maximum number of products.
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13
Direct contact with customers is not required for real-time marketing.
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14
Information on recency and monetary value of purchases is enough to identify most profitable customers.
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15
Database enhancement can substantially increase the amount and quality of information held on each customer
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16
'Buyer-Centricity' focuses on what products and services that sellers would be interested in selling to customers.
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17
"Mining" raw customer data, available with companies, using data modeling and analysis techniques produces "Actionable Customer Intelligence".
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18
All customers are appropriate targets for relationship marketing.
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19
Brand asset is much more important than a customer database.
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20
One should only solicit only those segments whose expected responses rates are Below the break even rate
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21
Consider the following data: Sales of Hot Dogs in Thousands)
I.a = 160, b = 1.1, c = 221. II.a = 150, b = 1.1, c = 225. III.Sales of hot dogs show an upward trend. IV.If the seasonally adjusted forecast for next year's second quarter is 180,000 hot dogs, the actual sales will be 234,000. Which combination of the statements is supported by the data above?
A)I, III, and IV.
B)II, III, and IV
C)I and IV.
D)III and IV
E)I and IV
I.a = 160, b = 1.1, c = 221. II.a = 150, b = 1.1, c = 225. III.Sales of hot dogs show an upward trend. IV.If the seasonally adjusted forecast for next year's second quarter is 180,000 hot dogs, the actual sales will be 234,000. Which combination of the statements is supported by the data above?A)I, III, and IV.
B)II, III, and IV
C)I and IV.
D)III and IV
E)I and IV
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22
A database can be used
A)To profile customers
B)To maximize personalization of promotional plans for customers
C)To develop products that match the customer's needs
D)a,b and c
E)a and b
A)To profile customers
B)To maximize personalization of promotional plans for customers
C)To develop products that match the customer's needs
D)a,b and c
E)a and b
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23
Customer data analysis focuses on
A)Customer acquisition - finding the new customer
B)Customer cross sell - further sales to the same customer
C)Customer up sell - the customer makes greater use of the same product or service
D)Customer retention - keeping the customer loyal
E)All of the above
A)Customer acquisition - finding the new customer
B)Customer cross sell - further sales to the same customer
C)Customer up sell - the customer makes greater use of the same product or service
D)Customer retention - keeping the customer loyal
E)All of the above
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24
The most important element to building a successful business is
A)Soliciting new customers
B)Maintaining exhaustive databases on purchase patterns
C)Targeting the right consumer segment
D)Managing and retaining existing customers
E)None of the above
A)Soliciting new customers
B)Maintaining exhaustive databases on purchase patterns
C)Targeting the right consumer segment
D)Managing and retaining existing customers
E)None of the above
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25
Social media is a new and powerful tool to increase customer values and company's profitability
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26
The rule followed in soliciting members of a database is on the basis of
A)Majority of the members be concentrated in a given area
B)Most recent purchase
C)Least cost of marketing
D)Breakeven response rate
E)None of the above
A)Majority of the members be concentrated in a given area
B)Most recent purchase
C)Least cost of marketing
D)Breakeven response rate
E)None of the above
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27
Relationship marketing involves
A)Identifying and building a database of customers
B)Delivering differential messages to different segments of customers in the database
C)Tracking costs for each relationship
D)a and b
E)a,b and c
A)Identifying and building a database of customers
B)Delivering differential messages to different segments of customers in the database
C)Tracking costs for each relationship
D)a and b
E)a,b and c
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28
The process of analyzing data from different perspectives and summarizing it into useful information is called ________ .
A)negative screening
B)duplicate screening
C)data mining
D)Data Validation
E)None of the above
A)negative screening
B)duplicate screening
C)data mining
D)Data Validation
E)None of the above
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29
Mobile Marketing is an effective communication channel for companies to connect with each individual of their customers
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30
For a time series forecasting to be appropriate, it is necessary that I.at least two series of data be available. II.The future is assumed to be like the past. III.at most, a minimum amount of environmental change will occur during the forecast period. IV.a large random element be in the data. V.detectable patterns or trends be in the data.
A)I and II.
B)II, III, and V.
C)I, II, III, and IV.
D)II, III, IV, and V.
E)all of these.
A)I and II.
B)II, III, and V.
C)I, II, III, and IV.
D)II, III, IV, and V.
E)all of these.
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31
Some of the disadvantages of the sales force composite forecasting method are that 1-the approach suffers from subjectivity. 2-the estimates could be biased because of the natural tendencies of individual salespeople to be optimistic or pessimistic. 3-the degree of bias introduced into the forecast would probably increase if the forecast were linked to the salesperson's performance record.
A)1
B)2
C)3
D)1 and 2
E)1, 2, and 3
A)1
B)2
C)3
D)1 and 2
E)1, 2, and 3
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32
CLV is a powerful tool for profile analysis
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33
One can eliminate duplication between and among the lists and identify "hotline names" by
A)overlaying multiple databases
B)negative screening
C)duplicate screening
D)None of the above
A)overlaying multiple databases
B)negative screening
C)duplicate screening
D)None of the above
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34
Calculation of Customer Lifetime Value CLV) provides a framework for
A)Purchase sequence analysis
B)Optimizing the timing of product offerings.
C)Profile analysis to target prospects
D)All of the above
A)Purchase sequence analysis
B)Optimizing the timing of product offerings.
C)Profile analysis to target prospects
D)All of the above
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35
The use of statistical models for analyzing customer databases serves the following purposes)
A)Identifying typical customers
B)Can rank order the prospects from best to worst
C)Helps to score a prospect list
D)All of the above
E)and b
A)Identifying typical customers
B)Can rank order the prospects from best to worst
C)Helps to score a prospect list
D)All of the above
E)and b
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36
A reason for increased popularity of online shopping would be:
A)Wider selection
B)Better Prices
C)Ability to shop at any time
D)All of the above
A)Wider selection
B)Better Prices
C)Ability to shop at any time
D)All of the above
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37
A limitation of time-series models which is taken care of by causal models is
A)they give weightage is given to more recent data
B)they take into account future events which could have an impact on the market
C)they are easy to understand
D)they are very accurate
A)they give weightage is given to more recent data
B)they take into account future events which could have an impact on the market
C)they are easy to understand
D)they are very accurate
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38
The survey of customer intention approach 1-is based upon customers' stated buying intentions. 2-can become expensive and time-consuming. 3-is more suited for a manufacturer of aircraft components than for a manufacturer of a consumer product with many more products.
A)1
B)2
C)3
D)1, 2, and 3
E)2 and 3
A)1
B)2
C)3
D)1, 2, and 3
E)2 and 3
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39
Which of the following is not a qualitative method of forecasting?
A)Jury of executive opinion
B)Time series projection
C)Sales force composites
D)Delphi forecasting
E)None of the above
A)Jury of executive opinion
B)Time series projection
C)Sales force composites
D)Delphi forecasting
E)None of the above
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40
Data modeling and analysis techniques involves all of the following EXCEPT:
A)Use of people, processes and systems
B)Use of tools such as customer profiling, customer segmentation, customer profitability, predictive modeling, etc.
C)Formulating uniform strategy across all customer groups
D)'What-if' analysis
E)Customer profitability profiling
A)Use of people, processes and systems
B)Use of tools such as customer profiling, customer segmentation, customer profitability, predictive modeling, etc.
C)Formulating uniform strategy across all customer groups
D)'What-if' analysis
E)Customer profitability profiling
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41
Which of the following types of marketing is designed to turn customers into advocates?
A)Mobile marketing
B)Social Marketing
C)Experiential marketing
D)Relationship marketing
A)Mobile marketing
B)Social Marketing
C)Experiential marketing
D)Relationship marketing
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42
Which of the following metrics indicate brand preference?
A)Recency-Frequency-Monetary value
B)Past Customer Value
C)Share of Wallet
D)Customer Lifetime Value
A)Recency-Frequency-Monetary value
B)Past Customer Value
C)Share of Wallet
D)Customer Lifetime Value
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43
Which of the following metrics is a forward-looking metric?
A)Recency-Frequency-Monetary value
B)Past Customer Value
C)Share of Wallet
D)Customer Lifetime Value
A)Recency-Frequency-Monetary value
B)Past Customer Value
C)Share of Wallet
D)Customer Lifetime Value
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