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studio

Enterprise decision simulation

decisions simulated

Consumer decision simulation for CPG and QSR brands. Test the move on cohorts built from your data.

>0%
of forecasts within 10% of actuals
0
enterprise pilots in progress
~0
cohorts per simulated market
0
weeks simulated per run
An 8% price increaseA reformulated recipeA limited-time menu itemNew packagingA regional launchA competitor undercuts youKilling a legacy SKUA rebrand
01 · Why Studio

Every decision is an expensive guess.

A simulation shows what happens next.

A survey · a few hundred peopleA simulation · your whole market
01

A survey asks 400 people. Studio runs your whole market.

02

An agency delivers a deck. The next question takes minutes.

03

A forecast extrapolates the past. Cohorts react to your exact move.

04

An A/B test spends real budget. A simulation spends compute.

02 · How it works

Watch a market decide.

Click through a recorded run: the data going in, the colony deciding, and the forecasts coming out.

studio - 8% price increase

POS & loyalty purchases

Connected

1,402,871 rows · synced 2026-06-28

Every register and loyalty-card purchase. Grounds the cohorts in real behavior.

App & web orders

Connected

248,014 rows · synced 2026-06-29

Digital order history. Who orders what, when, and how often.

Customer reviews

Connected

12,440 rows · synced 2026-06-27

App-store and location reviews. What customers say in their own words.

Social listening

Syncing

38,910 rows · synced 2026-06-29

Public posts and mentions, PII stripped. Early warning for sentiment shifts.

Market panels

Connected

22,048 rows · synced 2026-06-20

Industry benchmarks and foot traffic. Keeps the simulation honest to the market.

Competitor pricing

Scheduled

340 rows · synced 2026-06-25

Competitor menus and offers. The context your customers compare you against.

lanes 6rows 1,724,623pii stripped at ingestion

demo / synthetic data / real workflow

03 · What you can answer

Ask it your question.

Find where the price breaks.

Step the price from 2% to 10% and watch which cohorts absorb, trade down, or walk.

  • The revenue curve per price step
  • The price point where demand breaks
  • Which cohorts defect, and in which week
Simulation outputillustrative

Raise the hero SKU 6%

Revenue, 12 weeks
+0.0%
Units
-0.0%
Churn to rival
0.0%
04 · Try to break it

Built to be doubted.

01

The AI never writes the number.

an LLM-written KPI fails the build

02

Every claim cites its evidence.

3 cited sources per cohort, minimum

03

Unreliable runs stop themselves.

health-checked every simulated week

Who runs Studio

R&D, brand, pricing, growth, and insights teams at CPG, QSR, and DTC brands run Studio.

FAQ

Questions enterprises ask.

Accuracy, data handling, confidentiality, and how a pilot starts. The questions that come up before your first simulation.

Ready to simulate?

Bring a decision. We'll show you the outcome.

  • first simulation in 1 to 2 weeks, no integration project
  • runs on data you already export