If we raise the price by twelve percent, how many customers leave, and how many just pause?
Consumer simulations for the decisions that shape demand.
People are good at describing their habits.
They are far less accurate at predicting their next choice.
Price, timing, alternatives and social influence can all change the outcome. This is why stated intent often differs from real behaviour.
LARP builds on market research as a foundation, then models these conditions instead of relying on stated answers alone.
Which of the six campaign messages do young parents even notice?
Does the new variant bring in buyers we did not have, or does it feed on our existing one?
Which promotion lifts sales without teaching shoppers to wait for a discount?
We build thousands of synthetic agents into populations and cohorts, each based on real data.
Each with their own background, habits and values.
IVANA, 38, RIJEKA
single mother, four kids, income €1,700
We ran a large Croatian FMCG producer's study on our simulated population, and the results reached an average Spearman correlation of 84% with those of the original study.
On the questions where the two disagreed, the simulation was closer to what shoppers actually did.
Predict the future.
Book a demo and see how a simulated market answers questions like yours.
