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  • An Overview of LINK Analytics

    Cutting-edge analysis tools: individually customised to your research questions.

    From study design to collection through to analysis and interpretation, LINK is a one-stop shop when it comes to taking care of all your project stages. LINK Analytics shines the spotlight on data contexts and consumer behavioural patterns. An experienced team of analysts condense your data and develop a meaningful model using customised analysis methods. LINK Analytics unlocks your data’s full potential. Your benefits: a more in-depth understanding of your customer, as well as clear and relevant recommendations for action.

    Download Factsheet

  • Seg­men­ta­ti­on

    What does my target group look like?
    Segmentation is a must if you want to be successful in ever more heterogeneous and fragmented markets. It is not only about ranking your own customers when it comes to loyalty or their value, but it is also about developing products for different types of need, mapping out profiles for new customer acquisition or addressing a specific target group.
    We design a segmentation that is tailored to your needs – and never lose sight of its feasibility.

    Download Factsheet

  • Conjoint Analysis

    Which product? At which price? For which target group?
    Thanks to highly valid results and a broad scientific base, conjoint analyses have become the state-of-the-art method for researching products and price.
    Conjoint analyses give you the surety that you are making the right decision when it comes to optimal product design, pricing or portfolio strategy. Needs segmentation on the basis of conjoint data give you a clear picture of your (potential) customers, forming the bedrock for efficient market cultivation.
    Benefit from our long-term expertise in conjoint analysis. Alongside valid results and recommendations for action, this intuitive simulation tool enables you to perform analyses and potential appraisals on your own.


  • Impact models: Bayesian regressions

    The best in impact models
    We use Bayesian regressions because they have several advantages over classic methods: they deliver stable, across-time results, avoid overestimating the impact strength and provide better results for multicolinearity. This comes from the fact that previous knowledge of the investigated associations can be integrated into the model. This makes Bayesian regressions ideal not only for ad-hoc impact models but especially for tracking studies.


  • True Score

    How can I identify strategic response behaviour?
    Respondents tend to give socially desirable or strategic answers, especially when being asked “”sensitive”” questions or asked to rate their purchasing intentions or willingness to pay for new products, The true score developed at the Massachusetts Institute of Technology (MIT) that we use with our university research partners is capable of identifying such response behaviour and correcting the results accordingly.

  • Maximum Difference Scaling

    Undistorted measurement of relevance / importance
    Maximum Difference Scaling (MaxDiff) is the method of choice when it comes to a differentiated evaluation of the relevance of various aspects. As a trade-off procedure MaxDiff avoids the problem of directly asking about importance (scaling effects, demand inflation) and the disadvantages of rankings (no intervals).
    MaxDiff can therefore be used for asking about individual mindsets, needs and motivation towards all kinds of different topics. MaxDiff scores are also an excellent basis for a needs segmentation.

    Phillip Fessler
    Directeur, Analytics
    +41 44 497 49 07

    Steffen Schmidt
    Senior Project Manager Analytics
    +41 44 497 49 30