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Perceptual Mapping EWMBA 206'1

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Title: Perceptual Mapping EWMBA 206'1


1
Perceptual MappingEWMBA 206.1
  • Session 3
  • Fall 2009

2
Perceptual Maps
  • To gain competitive advantage, a firm must
    correctly position itself, its products, or
    services against competitive offerings.
  • Need to develop a Mental Map of how our product
    is perceived by consumers relative to the
    different competing products in the marketplace.
  • Linking Segmentation and Positioning.
  • Techniques that help us to construct such mental
    or Perceptual Maps are called Multidimensional
    Scaling and Factor Analysis.

3
What is a Perceptual Map
  • A perceptual map is a visual representation of
    how target customers view the competing
    alternatives in a Euclidean space which
    represents the market
  • The map has the following characteristics
  • Pair-wise distances between product alternatives
    directly indicate how close or far apart the
    products are in the minds of customers
  • A vector on the map indicates both magnitude and
    direction in the Euclidean space. Vectors are
    usually used to geometrically denote attributes
    of the perceptual maps
  • The axes of the map are a special set of vectors
    suggesting the underlying dimensions that best
    characterize how customers differentiate between
    alternatives

4
Perceptual Mapping Process
  • Specify the "Relevant" Objects or Products.
  • Relevance means that the set of products chosen
    must be the set of competitive products that are
    relevant for managerial decision-making.
  • Two possible methodologies to collect information
    on consumers perception of products
  • Method 1 Attribute based method (Factor
    Analysis).
  • Method 2 Similarity-Based method
    (Multi-Dimensional Scaling)

5
Method 1 Attribute Rating MethodExample
Evaluation of a New Laptop concept.
  • Select a set of laptop computers of interest to
    be the target group including the new
    concept(say 4 products)
  • Decide on the set of relevant attributes on which
    to capture consumer perceptions (6 attributes)
  • Prior quantitative or qualitative research that
    elicits important attributes for the target
    consumers.
  • Ensure that consumers are familiar with the
    laptops that are to be evaluated (e.g., through
    video presentation, or actual prototypes)
  • Respondents (target customers) evaluate / rank or
    rate products.

6
Perceptual Mapping
  • Data Matrix 4 (products) X 6 (attributes) X
    300 (respondents).

Consumers
Submit data to factor analysis Interpret the
underlying key dimensions (factors) using the
directions of the individual attributes Explore
the implications of how consumers view the
competing products
7
Factor Analysis Key Concepts
  • It is difficult to get a clear picture of the
    market when dealing with so many attributes and
    products.
  • All the data/dimensions might not be necessary to
    capture consumer perceptions. Why?
  • Highly correlated attributes
  • Create linear combination of the measures to get
    a single new dimension of the original
    attributes.
  • Take out attributes on which all computers are
    rated about the same.
  • Factor analysis output
  • Say 70 of the information contained in the
    original attributes can be represented by
    creating just 2 new dimensions. These dimensions
    are called factors.
  • Analysis done using commercial software SPSS or
    SAS

8
Example Plot of Attributes of Laptops on a 2D
Perceptual Map
Light
9
Example Plot of Attributes of Laptops on a 2D
Perceptual Map
(Plain)
Common
????Toshiba 1960CT
Easy setup
Slow
Performance
Light
GoodValue
? ????????CButterfly
Elegant
Looks/Styling
10
Guidelines for Interpreting Perceptual Maps
(Laptop)
  • The arrow indicates the direction in which that
    attribute is increasing.
  • Length of the line from the origin to the arrow
    is an indicator of the variance of that attribute
    explained by the 2D map. The longer this line,
    the greater is the importance of that attribute
    in explaining variance.
  • Attribute that are both relatively important
    (i.e., long vector) and close to the horizontal
    (vertical) axis help interpret the meaning of
    axis.
  • To represent a laptop on each attribute, draw an
    imaginary perpendicular line from the location of
    the laptop onto that attribute. (These are shown
    by dashed lines on the map).
  • What practical uses can you now put this map to
    at this stage?

11
Limitations
  • Researcher should be able to clearly
    conceptualize the attributes
  • No perception gap between intended and actual
    perception of the attributes.
  • Works well for hard or functional attributes,
    (price, product features).

12
Method 2 Overall Similarity RatingsMultidimensio
nal Scaling
  • Suppose we are interested in developing a
    perceptual map of the ED market consisting of
    Viagra, Levitra and Cialis.
  • Suppose we ask a respondent for his perceptions
    of the similarities among the 3 products by
    asking for his judgments about all possible pairs
    (3 possible pairs)
  • Ask the respondent to rank on a scale of 1-7 the
    similarity of two products. Do this for all
    pairsn products gt n(n-1)/2 pairs.
  • 1 is very similar
  • 7 is very different
  • How different are the products perceived?
  • What are features distinguish different products
  • Commercial software implementation
  • SPSS and SAS.

13
ED Market
14
ED Market
The numbers are like distances on a perceptual
map
15
MDS Perceptual Map
5.5
6
2
What more would you like to know?
16
Multidimensional Scaling
  • With 3 products, I can perfectly represent the
    information in two dimensions
  • With more products to be represented in two
    dimensions
  • information loss
  • Multidimensional scaling (MDS) is a mathematical
    technique that helps implement this analysis of
    similarity perceptions with minimum information
    loss.
  • What are advantages/disadvantages of MDS
  • Allows you to map products and simultaneously
    infer attributes.
  • Better for softer attributes which we do not
    verbalize very well (feel, aesthetics)
  • Impractical when the number of products are
    large.
  • Commercial software implementation
  • SPSS, SAS modules.

17
Uses of Perceptual Maps
  • Customer Analysis and Competitive Analysis
  • Understand the competitive market structure as
    perceived by customers.
  • Position relative to competition
  • Select the set of competitors to compete against
  • Represent customers perceptions in a manner that
    aids communication and discussion within the
    organization
  • Product
  • Perceptions of a new product concept in the
    context of existing brands in the market
  • Finding the gap in the market to position the
    product.

18
Learning
  • Perceptual maps are about How our product is
    perceived by consumers relative to competition?
  • Link Segmentation and Positioning
  • Segmentation, Positioning and Perceptual mapping
    involve careful and sophisticated quantitative
    analysis and not vague managerial intuition.
  • Two important methods to develop perceptual maps
  • Attribute rating
  • Similarity rating

19
Multi-dimensional Scaling (MDS)
AlgorithmTechnical Note
0. First have the computer assign points in an
m-dimensional space which represents the
similarity distances. (The computer actually
starts with a large value of m). 1. Compute the
distances between each of the two points in this
space 2. Compute the implied ranking that would
be generated (or implied dissimilarities).
This will result in the error or the stress of
these predictions 3. Change an individual point
to reduce the stress. Go to step 1 until you
cant improve the stress 4. Now reduce the
number of dimensions by 1 and try to generate an
entirely new map
20
A commonly-used stress formula in MDS
21
Number and Labeling of Dimensions
  • Stress values less than 0.05 are considered good
    and maps with stress values greater than 0.20 are
    not generally meaningful
  • Interpret the dimensions in the map
  • Infer meanings of dimensions
  • May need inputs from respondents to interpret the
    map
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