Home > Research Services > Research Methods > Statistical Techniques

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

The results of the research were communicated in a clear manner that enabled us to pull out key themes and areas for future development.

Germains Technology Group

From implementation and analysis through to usefulness of the information provided, it was a very positive experience.

BRUSH