We compare two common ways for modeling differential sourcing (substitution effects) among 38 SKUs in a brand/price CBC experiment: simulating on the HB respondent-level point estimates and ... Read More
The Market Simulator is usually considered the most important tool resulting from a conjoint project. The simulator is used to convert raw conjoint (part-worth utility) data into something much more ... Read More
In conjoint/choice analysis, we often build choice simulators to investigate product or product line solutions that maximize some criterion such as share, revenue, or profit. However, solutions that ... Read More
Market simulations from conjoint data often do not closely predict actual market shares. That is to be expected, as the model doesn't incorporate many real-world factors that critically affect market ... Read More
Conjoint simulators have been very useful for transforming part-worth utility values into the more concrete and managerially appealing shares of preference. Such simulators let the analyst play ... Read More
Support: support@sawtoothsoftware.com
Consulting: analytics@sawtoothsoftware.com
Sales: sales@sawtoothsoftware.com