How Statistical Technique Can Be Applied in Market Segmentation

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Describe how statistical techniques can be applied in marketing segmentation. Write your answer not more than 300 words. Statistical techniques could be applied in marketing segmentation, without doubt, which would allow more segments to come into view. In a segmentation study (or even in a customer satisfaction study), respondents are asked to answer a few Yes or No. These statements are designed to decide the needs and interests of the respondents. Statistical techniques approach has become tremendously popular and it is certainly a vital objective means of finding more remarkable and possibly more appropriate ways of addressing the customer base. Cluster analysis (to check the intuition gained through the qualitative research) is the most frequently used statistical technique for psychographic profiling while conjoint is widely used for needs-based segmentation. There is also this technique known as factor analysis, which statisticians can work out which groups of attributes best fitted together. Looking through the different statements or attributes that make up these groupings it is usually possible to see common themes such as people who prefer value for buy, people who want lots of services and are prepared to pay for them etc. Factor analysis reduces the large number of attributes to a smaller but representative sub-set. These sub-sets are then given certain labels that would help the marketing team know exactly who they are addressing. The groupings of needs that have been worked out by factor analysis would then be run through further computations using the technique discussed earlier - the cluster analysis. These factors are accessible to the cluster analysis whose algorithms rearrange the data into the partitions that have been specified and so determine how efficiently the population fits into the different

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