Customer simulation

Run the launch before you fund it.

Build a population of believable customers, put your product, ad, or offer in front of them, and read how they actually react. Honest verdicts, in an afternoon, before a dollar of spend.

Grounded in real demographics, household finances, and consumer behavior. Reusable across ads, products, services, and dating.

Live simulationn = 800

Would you buy AuroraBot Mini at $899?

Would buy 63%On the fence 22%Won't 15%
63%would buy at $899

  • E
    Elena V.38, two kids, suburbanWould buy

    Vacuuming eats my Saturday. If it actually handles the after-school crumb situation, $899 buys my weekend back.

  • M
    Marcus T.29, renter, budget-mindedWon't

    My place is 600 square feet and a broom is free. Hard pass at that price.

  • P
    Priya R.44, affluent, early adopterOn the fence

    Show me it surviving a golden retriever and the $899 is nothing. Until then I wait.

Start here, no signup

Run your first simulation, free.

Describe who you are selling to. A handful of believable customers will react right now, before you sign up for anything.

Your simulated customers will react here.

The launch is the experiment. It is also the most expensive way to run one.

You write the brief, build the thing, buy the media, and only then find out whether anyone wanted it. By the time the market votes, the budget is already gone. Simulation moves that vote earlier, to before you commit.

How it works

Three steps, one afternoon.

01

Build the population

Generate a census-grounded crowd, or pull in your real customers. Every person carries demographics, household finances, a behavior model, a daily routine, cultural context, and the problems they are actually trying to solve.

02

Put your thing in front of them

A product at a price. An ad creative. A service offer. A potential match. Test one concept, or a dozen variants side by side, against the same crowd.

03

Read the verdict

They react in character. The engine scores every reaction into a distribution and hands back the number, the objections, and the quotes, with the reasoning behind each one.

Every parameter, considered

A simulated customer is a whole person, not a checkbox.

The reaction is only as honest as the person giving it. So each one reasons from a full life: their money, their habits, their culture, and the problems weighing on them. Change any layer and the verdict moves.

Demographics & geography

Age, gender, generation, country, region, socio-economic bracket, language. Census-representative when you build from a real place.

Household finances

Income, disposable money, savings, debts, monthly expenses, financial stress. They reason about price the way a real budget does.

Consumer behavior (M6)

Attention, skepticism, impulsivity, brand loyalty, peer susceptibility, price sensitivity, novelty seeking. Seven dials per person.

Daily routine

Where they live, work, shop, and spend weekday vs weekend time, so they only react to what they would plausibly encounter.

Cultural context

Etiquette and norms by country, religion, region, and generation, used as general guidance, never a verdict about the individual.

Problems & painNew

The real problems each person is dealing with, each with its ramifications, how much of a priority it is, and how urgently it needs solving.

The method

Not a vibe. A measurement.

Every persona answers in their own words, the way a person would. Then each answer is embedded and scored against a calibrated set of reference reactions, the way the published Semantic Similarity Rating method does it, so a paragraph of opinion becomes a point on a distribution you can compare, sweep, and trust.

  • Textual first. Personas react in prose, not on a 1 to 5 slider. The number comes from the language, not a guess.
  • Calibrated scoring. Reactions are matched against anchor responses, then aggregated into a population distribution with a mean and a top-box.
  • Variance, not a single point. Make an attribute vary across the crowd and watch which one actually moves the result.
  • Real or synthetic. Run a census-built public, or your own buyers carrying their real purchase history.
What you can simulate

One engine. Four decisions you can stop guessing on.

Stop guessing. Start simulating.

Put your next decision in front of a crowd that reasons like the real one, before it costs you anything to be wrong.