Conjoint Analysis Of Product Differentiation

711 Words2 Pages

Defining the product strategy and pricing are the most critical activities for every company. These activities include the creation of such a product that meets the needs and desires of specific groups of customers. In order to satisfy customers' needs, it is crucial to identify optimal combination of marketing mix elements. In succeeding that, managers have to find the answer to the questions like: What product's characteristics are relevant for the customers? Is there a need for designing variety of same products? How to differentiate a product? What price the customers are willing to pay for a given product? The answers to these questions are particularly important if we bear in mind that in today's business environment it is necessary to make it attractive to a particular target market, which means to distinguish a product or offering from the similar ones. Product differentiation is the process of distinguishing a product both from the offering of competitors and firm’s own product offering. These differences may lead to competitive advantage if customers perceive the difference and have a preference for the difference. It is therefore necessary to elicit the preferences of customers prior to product differentiation.
In the last few decades, conjoint analysis arises as one of the most widely used techniques for measuring customer preferences for product attributes.
Conjoint analysis is a multivariate technique that can be used to understand how an individual's preferences are developed. Specifically, the technique is used to gain insights into how consumers value various product attributes based on their evaluation of the complete product.
The method has been widely used in several fields of economics as well as in marketing...

... middle of paper ...

...joint data but also takes into account production costs and possible reactions of competitors. Actually, we upgraded a model proposed in Kuzmanovic and Martic 2012b, in order to obtain better and more realistic results. Namely, to determine the customers' preferences we use a linear additive model of part-worth utilities; than we specify utility function for each of the identified segments. We formulate the product line optimization problem as a nonlinear integer programming problem, employing the Nash equilibrium concept to model competitive reactions. In the proposed model, we assume profit maximizing firms. We tested the performance of our new model and compared it with the performance of the scenario were potential competitive reactions are neglected. Furthermore, we conducted sensitivity analysis and confirmed the model efficiency and applicability in practice.

More about Conjoint Analysis Of Product Differentiation

Open Document