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29th July 2010
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Home » Maximising Wireless Profit Program » 2007 » Churn Prevention Strategies » 

Mobile Consumer Segmentation: Framework and Models

February 2007 (35 pages)

As mobile markets mature, the tools required by MNOs to remain competitive must also develop.

In the past, high growth rates and a relatively low level of competition (more about the share of new acquisitions than absolute share of the market) have favoured a relatively simplistic mass-market approach to marketing, product development, sales and customer support. Propositions have been similar with some level of price adjustment if a player felt that it was not achieving sufficient share of new acquisitions.

  • Accepting high churn rates and little product or service differentiation kept operating costs to a minimum and allowed MNOs to expand quickly as their customer bases continued to grow exponentially.
As saturation approaches, the business cost of churn is emphasised and the need to manage the profile of customers to retain the most profitable is increased. Segmentation provides a means to improve business performance in mature markets by helping MNOs to attract and retain the most profitable customers through highly differentiated product and service offerings that are attuned to the individual requirements of customers within certain groupings (or segments). This report examines the segmentation tools available to MNOs and discusses how they may be selected to provide optimum levels of support for fundamental business-oriented objectives. Examples of the application of the various approaches are also given. The report provides seven recommendations to MNOs to help them to take advantage of the competitive benefits available to them through a sound segmentation approach.

Price: EUR 2,500.00 / GBP 2,400.00

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Table of Contents
1Overview1
1.1Overview1
2Introduction2
2.1Background2
2.2Report Objectives3
2.3Report Content4
3Traditional and Generic Models5
3.1Introduction5
3.2Value Based Segmentation6
3.2.1Overview6
3.2.2General Approach7
3.2.3Value Based Segmentation Examples7
3.2.4Pros: Value Based Segmentation8
3.2.5Cons: Value Based Segmentation8
3.3Demographic Segmentation8
3.3.1Overview8
3.3.2General Approach9
3.3.3Demographic Segmentation Examples9
3.3.4Pros: Demographics Segmentation12
3.3.5Cons: Demographic Segmentation12
3.4Behavioural Segmentation12
3.4.1Overview12
3.4.2General Approach14
3.4.3Behavioural Segmentation Example15
3.4.4Pros: Behavioural Segmentation16
3.4.5Cons: Behavioural Segmentation17
3.5Psychographic Segmentation17
3.5.1Overview17
3.5.2General Approach18
3.5.3Psychographic Segmentation Examples19
3.5.4Pros: Psychographic Segmentation22
3.5.5Cons: Psychographic Segmentation22
4Multidimensional Segmentation23
4.1A More Effective Approach to Segmentation23
4.2General Approach to Multidimensional Segmentation23
4.3Multidimensional Segmentation Example25
4.3.1BellSouth25
4.3.2Pros: Multidimensional Segmentation26
4.3.3Cons: Multidimensional Segmentation26
5Prioritising Segmentation Models28
5.1Overview28
5.2Goal: Strategic Value29
5.3Goal: Customer Acquisition30
5.4Goal: Customer Retention30
5.5Goal: Product and Service Development31
6Conclusions33
7Recommendations35