Collective Dynamics can create and execute market simulation models to test the likely preference share of new product introductions, product feature enhancements or pricing changes. These simulations allow you to run a wide variety of “what if” scenarios to test a variety of strategies or pricing options, or to better understand

• Segmentation/Clustering – Conjoint analysis data can be analyzed at the aggregate level or by any segmentation criteria that are either included as part of a research effort (i.e. behaviors/demographics), or that can be provided to us by our clients. We can also create a custom segmentation, or needs/preference-based segmentation, using the conjoint preference models as the basis of the segmentation effort. This allows you to identify customer segments based on their product preferences and needs (i.e. price sensitive, brand sensitive, feature sensitive and service sensitive customer segments). These segmentation analyses are especially useful for customer segmentation effort and marketing campaign planning and customization.
  
  
• Database Scoring – Once a custom segmentation approach has been defined, Collective Dynamics works with clients to define a model to identify/define each customer segment across a variety of behavioral and demographic variables. A