_edited.png)
Purchase Simulation
Decode the science of purchase decisions.
Purchase Simulation mimics real-world purchase trade-offs to reveal the optimal combination of features, price, and brand appeal—before launch.
What it solves
Product teams often debate what features matter most, what price the market will bear, or how their brand stacks up. BuyLogic delivers the answers—by modeling how your consumers actually choose, not how they say they choose.
Our approach
We recreate competitive shopping scenarios where consumers weigh up different product options, forcing realistic trade-offs. Using choice-based conjoint or max-diff analysis, we isolate what really drives decision-making: value, features, brand, and more. The result is a predictive model of consumer choice.
What we deliver
Simulated market data and consumer choice modelling
Feature importance and pricing sensitivity
Scenario-based forecasts for volume, revenue, or margin
Strategic recommendations for NPD, pricing, or brand messaging