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Statistical Techniques

Our commitment to customise and add value to quantitative market research data are two of the main reasons why clients say they keep coming back to B2B International.

Statistical techniques

Our extensive b2b research experience and in-house analytics capabilities means we know when and how to use advanced statistical techniques to drive more meaningful and actionable insights.

Some of the common applications for statistics include assessing relationships and predicting behaviours (regression analysis), determining membership to a group/segment (discriminant analysis), understanding what really drives behaviour and the trade-offs people make (drivers analysis, conjoint, MAXDIFF, etc.), exploring stronger associations with different brands (correspondence analysis / brand mapping), etc.

Simply click on the different types of techniques below to find out more.

Sections on Statistical Techniques

Our industry expertise

B2B had to be very flexible and adapt fast while working with us. The execution in different markets is not easy to do as well as gathering all the necessary information. With their report we went further than the normal/expected reporting of qualitative research. My internal customers are also very happy with the work carried out by B2B International.


The B2B team came up with a range of questionnaires tailored to each business partner which uncovered what really mattered to them in business partnerships. I would definitely recommend their services to anyone.

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