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Marketing Analytics Final Exam QUESTIONS WITH ANSWERS

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Marketing Analytics Final Exam QUESTIONS WITH ANSWERS

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Marketing Analytics Final Exam |\ |\ |\ |\




QUESTIONS WITH ANSWERS |\ |\




The Proctor & Gamble brand Olay has a mobile
|\ |\ |\ |\ |\ |\ |\ |\ |\



application that enables customers to obtain skincare
|\ |\ |\ |\ |\ |\ |\



assessments. The app examines the customer's image to |\ |\ |\ |\ |\ |\ |\ |\



determine potential skin issues and then recommends
|\ |\ |\ |\ |\ |\ |\



specific products to address areas of concern. This is an
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



example of using a neural network to|\ |\ |\ |\ |\ |\




personalize customer experiences. |\ |\




In the context of activation functions, which of the
|\ |\ |\ |\ |\ |\ |\ |\ |\



statements is true? |\ |\




Activation functions help the model to detect non-linear
|\ |\ |\ |\ |\ |\ |\ |\



relationships.




A health insurance company uses Neuralmind to drive its
|\ |\ |\ |\ |\ |\ |\ |\ |\



customers to log on to its website and complete a primary
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



health assessment and an insurance quote. This is an
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



example of using a neural network to|\ |\ |\ |\ |\ |\




Increase New Customers |\ |\

,Under Armour has a health-tracking mobile application
|\ |\ |\ |\ |\ |\ |\



known as Record. The app collects health-related data
|\ |\ |\ |\ |\ |\ |\ |\



from a variety of sources, such as manually entered user
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



data, wearable devices, and other third-party
|\ |\ |\ |\ |\ |\



applications. The data includes sleeping patterns, |\ |\ |\ |\ |\ |\



workouts, nutrition, and related information that can best
|\ |\ |\ |\ |\ |\ |\ |\



be used in a neural network t
|\ |\ |\ |\ |\ |\




develop customized digital content, such as exercise and
|\ |\ |\ |\ |\ |\ |\ |\



diet recommendations for its app users.
|\ |\ |\ |\ |\




Neural networks |\




often do not work well with out-of-range data.
|\ |\ |\ |\ |\ |\ |\




Which of the following is an example of using a neural
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\



network to create products and make service
|\ |\ |\ |\ |\ |\ |\



recommendations?
Netflix uses neural networks to develop insights into
|\ |\ |\ |\ |\ |\ |\ |\



viewer preferences to improve production and
|\ |\ |\ |\ |\ |\



procurement of relevant movies. |\ |\ |\

,In a neural network, the hidden layer sits on top of the
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\



input and output layers. |\ |\ |\




False




A marketing company uses BrainMaker to identify the
|\ |\ |\ |\ |\ |\ |\ |\



customers who are most likely to click on their direct mail |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\



based on their past purchase behavior. This resulted in a
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



35 percent drop in advertising costs. This is an example
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



of using a neural network to
|\ |\ |\ |\ |\




classify new customers by their likely profitability when
|\ |\ |\ |\ |\ |\ |\ |\



planning direct marketing strategies. |\ |\ |\




In a neural network, inputs
|\ |\ |\ |\




are variables from the dataset that move information to
|\ |\ |\ |\ |\ |\ |\ |\ |\



the next layer via connections.
|\ |\ |\ |\




Neural networks can aid marketers in predicting customer
|\ |\ |\ |\ |\ |\ |\



behavior, understanding buyer segmentation, developing
|\ |\ |\ |\ |\



brand strategies, forecasting sales, optimizing inventory,
|\ |\ |\ |\ |\ |\ |\



improving marketing automation, developing digital |\ |\ |\ |\ |\



content, and much more. |\ |\ |\




True

, Regression is useful for forecasting consumer behavior |\ |\ |\ |\ |\ |\ |\



when predictive relationships are linear.
|\ |\ |\ |\




True




In a neural network, which of the following occurs during
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



the process of forward propagation?
|\ |\ |\ |\




sending of data through the hidden layer where it is
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\



processed using an activation function |\ |\ |\ |\




A neural network is constantly learning until the final
|\ |\ |\ |\ |\ |\ |\ |\ |\



optimized solution is obtained, which is when model
|\ |\ |\ |\ |\ |\ |\ |\



prediction is no longer improving. |\ |\ |\ |\




True




In a neural network, the output is calculated as
|\ |\ |\ |\ |\ |\ |\ |\




Output = sum (weights × inputs) + bias.
|\ |\ |\ |\ |\ |\ |\

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