stage

A workspace for the people planning the work.

stage puts the same behavioral evidence that powers atlas in the hands of planners, strategists and media teams. Explore a market, build the audience, brief the creative, activate and read the result, with the why carried through every step.

Book a walkthrough Screens show the illustrative demo workspace. No real people or results.

Behavioral models: disposition models chosen with a reach estimate.

Model builder: signals combined with If, And and Exclude logic, each signal weighted.

01 Explore

Ask about a market the way you’d brief a colleague.

Describe the people you’re after in plain English. stage turns it into filters, sizes the pool against the full graph and shows the models that set it apart, the same day.

stage Search the graphSave as audience

Describe with AI

Plain English, turned into filtersDescribe

Age 25–44Within 60 milesStarted, not finishedResearching now

Top models

Degree completion intent0.81

Career-change orientation0.74

Flexible-schedule need0.69

270,206,992people match, estimated across the graph

Who matches · age

18–246%

25–3441%

35–4437%

45–5411%

55+5%

Researching programs · last 8 weeks

Up 3.2× since the start of term

Describe with AI“Adults 25–44 within 60 miles of campus who started a degree and stopped.”

Sized against the graphCounts come from the live graph, not a sample panel.

02 Build

Build on motivation and decision style.

Drag models, segments and intent topics into logic groups. Model health tells you, before you publish, whether the audience is broad enough, sharp enough and backed by enough signals.

stage model builder: demographic, intent and disposition signals combined with If, And and Exclude logic, each signal weighted.

Model healthCoverage, signal composition and sharpness, scored as you build.

ExplainableEvery score traces back to the signals that produced it.

03 Read one person

Every score has a reason you can read.

Open any record to see what sets it apart from the audience around it. Identifiers stay masked in the workspace and leave only as hashes.

stage Record 7f3a…c21eColumbus, OH · 35–44 · identifiers masked Active 2 days ago

What sets this record apart

Motivation Career advancement 84+14 vs audience

Decision style Researches deeply 77+21 vs audience

Receptivity Weeknights after 9 p.m. 71+9 vs audience

Degree completion intent 81

Tuition-assistance research 66

Value vs premium orientation 34

Flexible-schedule need 72

This person Audience average

What sets them apartThe largest departures from the audience average, on the signals the audience is built on.

04 Apply

Turn each cohort into an angle your creative team can use.

The cohort engine splits an audience by why it would act. Each cohort gets an angle, the objection it has to answer, and creative made from the client’s own assets, matched by fit.

stage creative plan: each cohort with its size, what holds it back and the angle written for it.

Matched by fitEach cohort gets the message it responds to, not one ad for everyone.

05 Activate

Package it for the channels you already buy.

Campaigns download as a package: one folder per cohort with hashed identifiers, formatted for Meta, Google, TikTok, LinkedIn or a DSP. Meta ad accounts connect directly.

stage activation: audiences split into cohorts, matched to creative and packaged for download.

Hashed on exportSHA-256 identifiers. People in more than one audience are delivered once.

06 Measure

Read the result against people you held back.

Bind an outcome, bring the evidence from your CRM or the site tag, and stage counts conversions against the holdout, week by week.

Proven vs holdoutConversions are counted from your records, then compared with a held-back control.

For agencies

Same seat, same segments as every rival shop. Procurement prices to match.

Your DSP seat and the client’s platforms report who saw the work and who clicked. They don’t say why the client’s customers buy or which message each group answers to, and few pods have a data-science bench to find out. With stage, your planners get a behavioral read on each client’s market from 17,000+ signals, with every client walled off from the rest and lift reported under your name.

01
Win the pitch with their customers
Size the prospect’s in-market pool from a plain-English brief and split it by why they’d buy, before you hold their data.
02
Put a reason behind every flight
Give every cohort a motivation, an objection and a creative angle, ready to drop into the media plan and the creative brief.
03
Report lift and price on it
Hold back part of every strike list and show the client’s finance team the outcomes the work added, under your agency’s name.
Guardrail
Every client is an island: its files, audiences, models and results stay in its own workspace and never inform another client’s work.