Predictor

Our solution for analyzing and optimizing prices, pricing schemes, product portfolio, brand portfolio, communication and promotion strategies:

• Price optimization
• Portfolio optimization
• What-If scenarios simulations
• Preference modeling

What Is Predictor?

• Proprietary probability model of decision-making of individuals, which based on data collected from choice-based conjoint models behavior of individual respondents and the whole market in various user-defined scenarios
• Bayesian statistics based individual-level calculations allow segmentations of the target population according to price sensitivity or other relevant characteristics
• Model is primarily focused on optimization of prices, sizes of offered packaging, tariffs as well as intangible objects like brand extensions, communication strategies etc.
• Model allows to enter into alternate behavior of all market participants based on which implications are prepared
• Predictor permits analysis of an unlimited number of products and product versions, and is thus able to cover any market
• Results can be delivered together with PREDICTOR VIEWER - a user-friendly but sophisticated simulation module that allows the user to create, save and print out an unlimited number of what-if scenarios simulating the development of prices and sales on the market. The engine also automatically calculates the optimum price and portfolio structure in order to maximize profit or sales

Main New Features

• Ability to implement hierarchy of attributes and various conditional relationships (e.g. different attributes for different brands)
• Better and more precise handling of designs including excessive number of attributes and their levels
• Unique ability to include external attributes (not belonging to individual offers) into the design and simulation (i.e. information from newspapers relating to the market as a whole, but not tied to individual brands, products or services)
  • Prediction of impact of various events of public interest on political preferences (which political parties will gain or loose in case that various events occur)
  • Prediction of positive or negative impact of shifts in category perception on market share of individual brands (e.g. which brands of alcohol or cigarettes will gain or loose in case that various types of health related messages will be published)
• Linkage to Brand Equity module of the Branding Platform technique ties simulation to conversion analysis which enhances precision of results
• Improved and more precise simulation & optimization module
• Improved reporting templates