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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

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B2B International showed their customer satisfaction expertise in helping us identify and make improvements across our business.

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We achieved considerable added value from the perspectives provided on both the findings and their implications which we wouldn't have if we had limited their access to understanding our business needs.

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