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Tuesday, October 12, 1999

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Division of the market into distinct groups of buyers == Goal: Unique marketing ... Synergy. MG 506 (Fall 1999): Class 5 - 10/12/99. Positioning ... – PowerPoint PPT presentation

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Title: Tuesday, October 12, 1999


1
Tuesday, October 12, 1999
  • Segmentation
  • Targeting
  • Positioning
  • Web Site Boeing
  • Case Logitech

2
Segmentation
  • Division of the market into distinct groups of
    buyers gt Goal Unique marketing mixes
  • Requirements
  • Measurable
  • Sustainable
  • Accessible
  • Substantial
  • Differential response

3
Possible Bases of Segmentation
  • Geographic
  • Demograhic
  • Psychographic
  • Behavioral
  • Occasions
  • Benefits
  • Usage
  • Loyalty

4
VALS 2 Network
5
Targeting Segments
  • Market potential
  • Strategic factors
  • Strength of customers
  • Suppliers
  • Barriers to entry
  • Intensity of rivalry
  • Threat of substitution
  • Fit
  • Strengths/Weaknesses
  • Strategic consistency
  • Synergy

6
Positioning
  • Perception of the product by the customer
    vis-a-vis competition so that the product/service
    occupies a distinct and valued place in the
    customers mind.
  • Result of an integrated marketing plan.

7
Issues in Globalization
  • Cultural
  • Language
  • Demographic
  • Can we see segments first and countries later?

8
Ethical Issues
  • Vulnerable groups
  • Interests of society

9
Cluster Analysis
  • Identifying groups of similar customers with
    substantial intergroup differences
  • Key tasks
  • Identifying appropriate variables
  • Selecting measures of similarity
  • Determining the number of factors
  • Profiling the resulting clusters

10
Doing Cluster Analysis
a distance from member to cluster
center b distance from I to III
11
Interpreting Cluster Analysis Results
  • No clear statistical answer
  • Are clusters spatially distinct?
  • Should clusters be joined or separated?
  • Are the results meaningful? Can they be
    interpreted?

12
Describing Market Segments
  • Identify a set of observable variables that
    helps you to understand how to reach and serve
    the needs of selected clusters.
  • Use discriminant analysis to identify underlying
    dimensions that maximally differentiate between
    the selected clusters.
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