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Infinity G20 Positioning

Autor:   •  May 30, 2017  •  Case Study  •  810 Words (4 Pages)  •  1,622 Views

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Infiniti G20 Data (Positioning)

QUESTION 1. Using the data in Exhibit 1 and the associated perceptual mapping software, describe the two (or, if applicable, three) dimensions underlying the perceptual maps that you generated. Based on these maps, how do people in this market perceive the Infiniti G20 compared with its competitors?  

Answer:  From the table below, we decide to go for the three dimensions because moving from 3 to 2 dimensions will lose 0.112 of variance.                Variance Explained 

Dimensions / Items

1

2

3

4

5

6

7

8

9

10

Total variance explained

0.546

0.188

0.112

0.073

0.025

0.023

0.019

0.010

0.004

0.000

Cumulative variance explained

0.546

0.734

0.846

0.919

0.944

0.967

0.986

0.996

1.000

1.000

Statistics 

3 dimensions

2 dimensions

Attribute

Mean

Variance

Proportion Variance Explained

Proportion Variance Explained

Attractive

4.78

0.737

0.990

0.973

Quiet

4.41

1.050

0.795

0.795

Unreliable

3.42

0.755

0.897

0.760

Poorly Built

3.09

1.056

0.950

0.882

Interesting

4.02

0.666

0.926

0.591

Sporty

4.83

0.725

0.858

0.838

Uncomfortable

3.53

0.657

0.838

0.838

Roomy

4.14

0.771

0.817

0.811

Easy Service

4.47

0.478

0.696

0.694

Prestige

4.72

1.235

0.962

0.828

Common

3.45

0.707

0.559

0.548

Economical

4.03

0.648

0.924

0.008

Successful

4.88

0.732

0.902

0.845

AvantGarde

4.17

0.441

0.414

0.376

Poor Value

3.60

0.560

0.953

0.609

S1

4.82

2.401

0.949

0.948

S2

4.99

1.476

0.774

0.772

S3

6.07

2.305

0.878

0.852

Overall

5.27

1.334

0.987

0.974

...

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