3 Case Qu 3 Case Questions Q 1 Determine the number of distinct segments present in the market as represented in the current respondent sample Use Questions 2 and 3 from the survey as segmentation variables In the data, they are ( ' Innov ' , 'ConstCom', 'CreatCom', 'TimelyInf', 'SaveM T ' , 'SaveM L ' , 'TaskMgm', 'DeviceSt', 'Photo', 'Wellness', 'Athlete', 'Style', and 'Price' ) The rest are descriptors ( 1 5 points ) a Explain how these segmentation variables capture the key differences in consumer needs and preferences in the smartwatch market b Describe the process used to determine the number of segments c Include relevant R output, such as a dendrogram plot, to support your findings, and ensure it is properly labeled and explained Q 2 After determining the number of segments, describe each using the segmentation and descriptor variables Based on the characteristics, create a name for each segment that captures the essence of what makes it unique ( 1 5 points ) a Use the segmentation variables to outline the key characteristics of each segment b Profile the segments using the descriptor variables ( ' iPhone ' , 'CompBuy', 'Health', 'Finc', 'Sales', 'Advt', 'Edu', 'Cons', 'Eng', 'Tech', 'Retail', ' SMB ' , ' FB Insta', 'Twit', 'Snap', 'YouTube', 'Pod radio', ' TV ' , 'NewsP', 'AmznP', 'Age', 'Female', 'Degree', 'Income' ) Explain how these descriptors enhance your understanding of each segment Create and name each segment based on its unique characteristics c R output include relevant R outputs, such as cluster summaries Q 3 Rate the attractiveness of each smartwatch segment on a scale of 1 7 Explain the factors that went into your rating ( 1 0 points ) a Evaluate and justify the attractiveness of each segment for Intel Discuss factors such as potential profitability, segment size, growth potential, and alignment with Intel s capabilities and goals Q 4 For each variable used in the segmentation, rate the strength of competitors offerings, including the Apple Watch, Fitbit Charge 2 , and Samsung Gear S 3 Identify the segment for which each of these brands is best positioned ( 1 0 points ) estions Q 1 Determine the number of distinct segments present in the market as represented in the current respondent sample Use Questions 2 and 3 from the survey as segmentation variables In the data, they are ( ' Innov ' , 'ConstCom', 'CreatCom', 'TimelyInf', 'SaveM T ' , 'SaveM L ' , 'TaskMgm', 'DeviceSt', 'Photo', 'Wellness', 'Athlete', 'Style', and 'Price' ) The rest are descriptors ( 1 5 points ) a Explain how these segmentation variables capture the key differences in consumer needs and preferences in the smartwatch market b Describe the process used to determine the number of segments c Include relevant R output, such as a dendrogram plot, to support your findings, and ensure it is properly labeled and explained Q 2 After determining the number of segments, describe each using the segmentation and descriptor variables Based on the characteristics, create a name for each segment that captures the essence of what makes it unique ( 1 5 points ) a Use the segmentation variables to outline the key characteristics of each segment b Profile the segments using the descriptor variables ( ' iPhone ' , 'CompBuy', 'Health', 'Finc', 'Sales', 'Advt', 'Edu', 'Cons', 'Eng', 'Tech', 'Retail', ' SMB ' , ' FB Insta', 'Twit', 'Snap', 'YouTube', 'Pod radio', ' TV ' , 'NewsP', 'AmznP', 'Age', 'Female', 'Degree', 'Income' ) Explain how these descriptors enhance your understanding of each segment Create and name each segment based on its unique characteristics c R output include relevant R outputs, such as cluster summaries Q 3 Rate the attractiveness of each smartwatch segment on a scale of 1 7 Explain the factors that went into your rating ( 1 0 points ) a Evaluate and justify the attractiveness of each segment for Intel Discuss factors such as potential profitability, segment size, growth potential, and alignment with Intel s capabilities and goals Q 4 For each variable used in the segmentation, rate the strength of competitors offerings, including the Apple Watch, Fitbit Charge 2 , and Samsung Gear S 3 Identify the segment for which each of these brands is best positioned ( 1 0 points ) a Assess the strength of key competitors ( e g , Apple, Fitbit, Samsung ) in each segment based on how well their products meet the specific needs of that segment Q 5 Rate Intel s previous watch, the Basis Peak, and a watch developed with Amazon, Aetna, and Google on each of the segmentation variables Identify the segment ( s ) you believe is Intel s best target ( 1 5 points ) a Lay out Intel re entry strategies and justify the choice of target segment b Conclude with a positioning statement for the selected target segment 4 R code Please copy your R code as plain text directly into the Word document for submission Ensure that your code is well organized and annotated, as it will be evaluated for clarity and correctness ( 5 points )

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Question: 3 . Case Qu 3 . Case Questions Q 1 . Determine the number of distinct segments present in the market as represented in the

3 .

Case Qu

3 .

Case Questions

1 .

Determine the number of distinct segments present in the market as represented in the current respondent sample. Use Questions

2

and

3

from the survey as segmentation variables. In the data, they are

('

Innov

',

'ConstCom', 'CreatCom', 'TimelyInf', 'SaveM

_

',

'SaveM

_

',

'TaskMgm', 'DeviceSt', 'Photo', 'Wellness', 'Athlete', 'Style', and 'Price'

) .

The rest are descriptors.

(15

points

)

.

Explain how these segmentation variables capture the key differences in consumer needs and preferences in the smartwatch market.

.

Describe the process used to determine the number of segments.

.

Include relevant R output, such as a dendrogram plot, to support your findings, and ensure it is properly labeled and explained.

2 .

After determining the number of segments, describe each using the segmentation and descriptor variables. Based on the characteristics, create a name for each segment that captures the essence of what makes it unique.

(15

points

)

.

Use the segmentation variables to outline the key characteristics of each segment.

.

Profile the segments using the descriptor variables

('

iPhone

',

'CompBuy', 'Health', 'Finc', 'Sales', 'Advt', 'Edu', 'Cons', 'Eng', 'Tech', 'Retail',

'

SMB

','

_

Insta', 'Twit', 'Snap', 'YouTube', 'Pod

_

radio',

'

',

'NewsP', 'AmznP', 'Age', 'Female', 'Degree', 'Income'

) .

Explain how these descriptors enhance your understanding of each segment. Create and name each segment based on its unique characteristics.

.

R output include relevant R outputs, such as cluster summaries

3 .

Rate the attractiveness of each smartwatch segment on a scale of

1 - 7 .

Explain the factors that went into your rating.

(10

points

)

.

Evaluate and justify the attractiveness of each segment for Intel. Discuss factors such as potential profitability, segment size, growth potential, and alignment with Intel

s capabilities and goals.

4 .

For each variable used in the segmentation, rate the strength of competitors

offerings, including the Apple Watch, Fitbit Charge

2,

and Samsung Gear S

3 .

Identify the segment for which each of these brands is best positioned.

(10

points

) .

estions

1 .

Determine the number of distinct segments present in the market as represented in the current respondent sample. Use Questions

2

and

3

from the survey as segmentation variables. In the data, they are

('

Innov

',

'ConstCom', 'CreatCom', 'TimelyInf', 'SaveM

_

',

'SaveM

_

',

'TaskMgm', 'DeviceSt', 'Photo', 'Wellness', 'Athlete', 'Style', and 'Price'

) .

The rest are descriptors.

(15

points

)

.

Explain how these segmentation variables capture the key differences in consumer needs and preferences in the smartwatch market.

.

Describe the process used to determine the number of segments.

.

Include relevant R output, such as a dendrogram plot, to support your findings, and ensure it is properly labeled and explained.

2 .

(15

points

)

.

Use the segmentation variables to outline the key characteristics of each segment.

.

Profile the segments using the descriptor variables

('

iPhone

',

'CompBuy', 'Health', 'Finc', 'Sales', 'Advt', 'Edu', 'Cons', 'Eng', 'Tech', 'Retail',

'

SMB

','

_

Insta', 'Twit', 'Snap', 'YouTube', 'Pod

_

radio',

'

',

'NewsP', 'AmznP', 'Age', 'Female', 'Degree', 'Income'

) .

Explain how these descriptors enhance your understanding of each segment. Create and name each segment based on its unique characteristics.

.

R output include relevant R outputs, such as cluster summaries

3 .

Rate the attractiveness of each smartwatch segment on a scale of

1 - 7 .

Explain the factors that went into your rating.

(10

points

)

.

Evaluate and justify the attractiveness of each segment for Intel. Discuss factors such as potential profitability, segment size, growth potential, and alignment with Intel

s capabilities and goals.

4 .

For each variable used in the segmentation, rate the strength of competitors

offerings, including the Apple Watch, Fitbit Charge

2,

and Samsung Gear S

3 .

Identify the segment for which each of these brands is best positioned.

(10

points

) .

.

Assess the strength of key competitors

(

.

.,

Apple, Fitbit, Samsung

)

in each segment based on how well their products meet the specific needs of that segment.

5 .

Rate Intel

s previous watch, the Basis Peak, and a watch developed with Amazon, Aetna, and Google on each of the segmentation variables. Identify the segment

(

)

you believe is Intel

s best target.

(15

points

)

.

Lay out Intel re

-

entry strategies and justify the choice of target segment

.

Conclude with a positioning statement for the selected target segment.

4 .

R code: Please copy your R code as plain text directly into the Word document for submission. Ensure that your code is well

-

organized and annotated, as it will be evaluated for clarity and correctness.

(5

points

)

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