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ValueManager uses the latest choice modelling techniques to reveal the products and features that best meet consumer needs. Based on consumers’ willingness to pay, we build product and price scenarios that will maximise your brand revenue and profit.
The right prices
Proven to improve simulation accuracy by over 20%, we predict how price changes will affect volume, revenue or profit.
Our award-winning simulator determines the perceived value of each feature and finds the optimum bundles and prices.
Closer to reality
Our behavioural economics framework and smart, self-learning interview algorithms accurately reflect purchase behaviour.
We constantly innovate our choice modelling methods to take account of latest thinking and changing market environments. Examples of recently completed R&D include:
- Adaptive displays for mobile interviewing, allowing consumers to make product choices on their smartphones
- Virtual reality interviewing, so consumers can choose products from a 3D shelf
- Machine learning algorithms to segment respondents in real-time and create the ideal next choice task for new segment members on the fly
- War gaming price optimisation using Nash Equilibrium price points