Colmar Brunton: Techniques & Methods

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Techniques & Methods | Quantitative Research

Quantitative Research


Quantitative research produces statistical data that is translated into facts, trends, and predictions about your market or product.

Colmar Brunton offers an extensive range of quantitative techniques adopted from Marketing Science including modelling of markets and predicting the impact of changes in variables such as price, brand and new products on market share.

Our quantitative research also offers access to techniques which more accurately measure the gap between the ideal and current performance than traditional methodologies.

 


Innovative Approaches

Innovative approaches provide clients with the benefit of comprehensive data plus strategic analysis to provide actionable outcomes from our research.

What distinguishes us from other research companies is our leading edge techniques which link qualitative and quantitative to provide a greater understanding of the size and shape of the issue at hand.


Recent technology innovations include two new techniques that combine qualitative and quantitative analysis:

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Customised Approaches

Our experienced researchers tailor the most appropriate methodology to meet your needs. This may involve both qualitative and quantitative methods.

Our quantitative research utilises sophisticated techniques to allow emotive issues identified in the qualitative research to be quantified.

For example, qualitative research may identify a needs-based segmentation within a specific target group. However, quantitative research is required to tell us how large each segment is and its demographic profile.

This holistic approach is vital if we are to develop segment-specific communications and delivery mechanisms and to link segments with demographic and database variables. One of the keys is a well-designed questionnaire.

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Large or Small

Colmar Brunton has the size and expertise to handle large scale quantitative projects. We can advise and assist you with any type of research requirement, such as:

  • small samples;
  • projects requiring interviews with CEOs;
  • mystery shopping;
  • mall intercept;
  • central location;
  • and the full range of fieldwork techniques.

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Valid & Reliable Data

It is important for quantitative studies to provide statistically valid data that can be stratified by any number of variables, for example: age; gender and geographical location. Colmar Brunton's quantitative specialists have experience in:

  • managing sample design
  • selection
  • interviewing

We understand the needs of representative sampling and employ statistical modellers with expertise in stratification, weighting and advanced segmentation, modelling and forecasting skills.

For more detailed information, fact sheets are available on each of our techniques and methods.

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