View this presentation to understand how optimization research can be upgraded from share-of-preference results to financial predictions.
Super-Charged Discrete Choice Modeling translates market research lingo into terms that senior leaders, engineers, the sales force, finance, and customers understand. Addressing business questions in terms of sales, revenues, and profits opens new doors and increases the importance of research to the organization.
Stephen's presentation includes a case study where discrete choice analysis is used to predict sales and revenue, and to quantify the dollar value of new product features. He illustrates how a predictive discrete choice model will often have different results from the more commonly used share-of-preference approach. The right modeling approach can uncover millions of dollars in incremental profits.
Ipsos Vantis specializes in forecasting sales for new product initiatives, identifying key drivers of demand, and optimizing product offerings for profit – all prior to market entry. Ipsos Vantis owns the world’s largest database of new products in technology, durable goods, and services sectors and has a proven track-record of forecasting accuracy.