Wanted to share some exciting results from a recent pilot:

MìLà fielded a traditional consumer study to forecast purchase behavior for a retail launch. @tryStudioai constructed a model of their market to forecast the same behavior blind. We then compared Studio’s predictions and the traditional market research in their accuracy at predicting real consumer purchase behavior after the products were launched.

Studio was 97.5%+ accurate at simulating purchase behavior, higher than any published forecast from a synthetic panel, simulation lab, or traditional market research. The model also had 22% lower error on the 52-week total-dollar comparison, and was closer in all 18 performance scoring cuts across a variety of sales measures and time windows.

Till now, we’ve had to rely on what people say. Studio accurately predicts what they do.

http://trystudio.ai :)

Studio · Consumer decision simulation for CPG & QSR

Source: https://www.trystudio.ai/ A wall-sized reality map: gray branch futures fan out across five checkpoints, and one orange path, the base reality, threads through them to the future you want. A simulation clock ticks in the corner.

Simulate every future. Engineer the response you want.

Studio builds a living society of your market and plays every version of your decision through it, so you commit to the one your customers reward.

one launch // a thousand worlds

A thousand worlds, watched at once

Test every version of your launch: a price, a placement, a promotion. Watch the outcome each version creates, and commit to the one you want. Scroll to review 3 of them.

A wall of 12 monitors, each showing the same supermarket product launch in a parallel world, each world testing one different choice: prices, placements, promotions. The view dives into world 0047, where the 9.49 price fails: adoption 11 percent, trust 26 percent, repeat 7 percent. It glides to world 0311, the wide campaign: 44, 41, and 29 percent. It locks onto world 0214, sampling seeded with regulars: adoption 95 percent, trust 88 percent, repeat 61 percent, framed in orange: the version you green-light.

signal intake

It starts by listening

Studio reads the record your market already leaves, public chatter, reviews, and press, alongside your own data: sales, loyalty, app events, and demographics. Everything lands as evidence about groups, never about a person.

what came in today8 of 1,400 sources

the society

Your market, modeled as a society

A whole market is too big to predict and one customer is too noisy. Studio models the groups in between, and the influence running between them, because groups behave in patterns you can trust.

cohort readout1 of 5

loyal regulars

Buy on habit. Moved by availability and routine, not ads.

Influences:deal-triggered, vocal skeptics. The dotted lines on the model show where this group moves first.

ask this cohort:

Not for one coupon. Move my usual brand off the shelf and we have a problem.

Cohorts are named for how they decide, never for who they are. The model holds hundreds more; these 5 carry most of a launch. Click any cluster to inspect a group.

one run, start to finish

Watch a decision play out before you make it

A streaming service weighs a theatrical opening for its next release. Studio plays 30 weeks of it, one version of the decision at a time, and returns the KPIs you already run: adoption, trust, repeat, revenue lift.

A 30-week simulation scrubs from week 2 to week 30, shown as the seat map of a 264-seat auditorium filling in week by week. At week 2 only 24 seats are taken and adoption reads 9 percent in red. By week 14 the middle rows are filling. By week 27 the house is nearly sold out at 240 of 264 seats: adoption 91 percent, trust 84 percent, in green.

declassified // case files

Where Studio runs

Insight and marketing teams point it at decisions like these. The board keeps moving; hover to hold it.

the engine

Built to be doubted

Three choices in how the engine works. Open any of them for the longer story.

Three small instruments. First: the same chart twice, one person’s jagged week-by-week line that says nothing beside 12 faint member lines resolving into one bold cohort pattern. Second: a static questionnaire form stands beside a grid of 56 people who fill in one by one as they buy, a live counter climbing to 50 of 56, actions instead of answers. Third: the same run draws the same curve twice, a sweep verifies it point by point, and a readout confirms the runs match.

01

Groups, not guesses

Ask what one person does next and you get noise. How a group moves, and who it moves with, is something you can trust.

02

What people do, not what they say

Nobody gets a questionnaire. Studio runs the launch inside the society and measures behavior: buying, returning, leaving.

03

The same answer twice

The same decision in the same society returns the same result. Repeatable, auditable, defensible next quarter.