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Use case · Pricing

See where a price change breaks demand.

Test a price move on a calibrated model of your own customers before it touches the market. Studio simulates how each cohort responds over the weeks that follow, so you read the effect on demand and revenue in advance.

The problem

Pricing is the highest-stakes guess most teams make.

A few points of price flow straight to margin, but the response is hard to call. Surveys ask what people say they would pay. Spreadsheets extrapolate a past trend. Neither shows how a real customer base, with its different segments, actually reacts when the price changes.

How it works

From a price you are weighing to the demand it produces.

  1. 01

    Couple your data

    Studio builds a model of your customer base from the first-party data you already hold: transactions, pricing history, loyalty, and past campaigns. No new instrumentation.

  2. 02

    Move the price

    Set the change you are weighing. Studio runs it forward as temporal cycles, so cohorts react and the effect diffuses through the base week by week, the way a real market responds.

  3. 03

    Read where demand breaks

    Get the projected revenue and conversion, the point where demand starts to fall away, and the cohorts driving it. Every number is drillable to the behavior behind it.

What you get

The outcome, and the why behind it.

A price decision is rarely one number. Studio gives you the projection and the cohort-level reasoning under it.

  • The demand curve for your base

    Not a textbook curve. The one your customers produce, cohort by cohort, so you see the breaking point before you reach it.

  • Revenue and margin impact

    Projected as a range across outcomes, with the downside made explicit, rather than a single optimistic point.

  • The cohorts that move first

    See which segments absorb the change and which walk, so a price move can be targeted instead of blanket.

Why the number holds

A prediction, not a plausible answer.

The forecast does not come from a language model guessing a figure. Studio resolves outcomes with a calibrated statistical model fit to your data, and checks the prediction against your own history before you rely on it.

Weighing a price change?

Bring the decision. We will simulate it on your customer base and show you where demand holds.