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Judging the quality of customer segments: segmentation effectiveness created by Sally Dibb and Lyndon Simkin

By: Contributor(s): Material type: TextTextSeries: Journal of Strategic Marketing ; Volume 18, number 2,Abingdon Taylor and Francis 2010Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Online resources: Summary: Market segmentation is well established in marketing theory and applied by organisations from all industry sectors. Despite widespread use, developing and implementing segmentation schemes is rarely problem free. Testing the quality and robustness of segments is one of the difficulties which marketers face. The literature describes segment quality criteria which are intended to help with this task, yet there is little evidence of their deployment and efficacy in practice. Using a longitudinal case study from the Eastern European mobile phone market, the practical application, impact and efficacy of these segment quality criteria are examined. The findings reveal the value of combining ‘hard’ statistical and ‘soft’ segment quality criteria to test the validity and robustness of segmentation outputs prior to implementing the segmentation. Implications from this case for managers seeking to select and deploy suitable quality criteria are considered.
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Market segmentation is well established in marketing theory and applied by organisations from all industry sectors. Despite widespread use, developing and implementing segmentation schemes is rarely problem free. Testing the quality and robustness of segments is one of the difficulties which marketers face. The literature describes segment quality criteria which are intended to help with this task, yet there is little evidence of their deployment and efficacy in practice. Using a longitudinal case study from the Eastern European mobile phone market, the practical application, impact and efficacy of these segment quality criteria are examined. The findings reveal the value of combining ‘hard’ statistical and ‘soft’ segment quality criteria to test the validity and robustness of segmentation outputs prior to implementing the segmentation. Implications from this case for managers seeking to select and deploy suitable quality criteria are considered.

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