Designing optimal bundles of services to satisfy different customer segments. Measuring and quantifying the current level of customer satisfaction relative to competition and the customer ideal, and determining which actions are most critical in improving satisfaction measures and concurrently driving sales growth. Optimizing customer retention and satisfaction via brand-image development and enhancement. Market segmentation modeling for all aspects of marketing and channels strategy. The questionnaires and model are customized to the specific issues of each individual project.
Price is used as a constraint on customer choices throughout the process.
Analysis of data treats each surveyed customer as an individual and does not separate each item of data into meaningless and bland averages predictions of customer preferences and behavior model how each individual would behave based on the whole profile of their responses. The Simalto Plus expert system is based on the Neural Net principle of rule-based decision theory or pattern matching, using data generated in the data collection process to recognize different patterns and set the rules for predictive analysis of the whole data set. Simalto Plus does not suffer from the drawbacks and limitations of conventional analytical techniques in that multiple product and service features are considered together and in relative proportion rather than individually, thus providing a more real simulation of customer buying preferences and behavior than many conventional techniques. In many industries, particularly those that are more industrial in nature, there is simply no accurate information on the market size or manufacturer shares for individual product categories. Either the information does not exist, or it is simply too broad to be reliable or useful in market planning or decision making.