Adquadrant and WorkMagic, Official Agency Partner

Running the media is half the job. Proving what it returned is the other half.

Our strategists run your accounts hands-on. Underneath that we build the measurement on WorkMagic: the geo lift tests that establish what your media actually caused, the calibration that corrects your attribution and media mix model, and the reporting that puts the answer in front of your team every morning.

98%

of WorkMagic lift tests return a usable read, against roughly 70% industry wide

21 days

from test design to a causal answer you can move budget on

Whole business

your site, the marketplace and retail, not only where a pixel happens to be watching

In your Slack

the reporting and the analyst both live where your team already works

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How the measurement works

A controlled experiment, then everything else corrected against it.

Every attribution model is one set of assumptions arguing with another set of assumptions. A geo lift test is the only one that holds something back and watches what happens. We start there, then use the result to correct the numbers your team works from all week.

01

A geo lift test establishes what the channel actually caused

→

02

That result calibrates your attribution and your media mix model

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One number you can plan the year with

What a lift test looks like when it reads
Illustrative geo lift test chart showing test markets running a channel above control markets holding it out, with the gap between them shaded as incremental revenue

Two sets of matched markets. The channel runs in one and is held out in the other. Everything both markets do together is seasonality, promotions and brand momentum. The gap that opens after the switch is the part your media caused, and it is the only number worth defending in a budget meeting.

Geo incrementality testing

The experiment

We hold the channel back in matched markets and read the revenue difference. The answer does not depend on what any platform chooses to count, or on which touch it decides to claim.

Calibrated attribution

The daily view

Lift results correct the multi-touch attribution your team works from, so the numbers everyone looks at each morning are anchored to something causal rather than to a modelling choice.

Calibrated media mix modelling

The plan

The same truth feeds the model you plan the year with, including saturation curves and where the next dollar is worth more than it is where it sits today.

98%

WorkMagic · Official Agency Partner

WorkMagic publishes that 98% of its lift tests return a usable read, against roughly 70% industry wide. That is the technology’s track record, not a result we are claiming on your behalf. Yours exists once we run one.

What we build for you

Every source you spend from, every place you sell, one board.

A measurement platform out of the box is a set of connectors and an empty vocabulary. It does not know what your business calls a new customer, which campaigns count as prospecting, or what your team is held to this quarter. Teaching it is the work, and it is the part we own.

Diagram showing spend sources, storefronts and goals feeding a configuration layer Adquadrant builds, which produces one board with an ask anything bar
Store revenue and ads-attributed revenue sit next to each other and are never quietly merged. Every answer carries the scope, the model and the window it came from, so two people in the same meeting cannot quote different numbers and both be right.

A day with it

An analyst in your Slack. A strategist still holding the wheel.

WorkMagic ships an AI analyst that sits on your data. We give it the vocabulary, the goals and the guardrails, then put it in the channel your team already works in. You type the way you would to a colleague. It answers in seconds, shows where the number came from, and tells you when it thinks you are about to read something the wrong way. Nothing it produces reaches you or your board without one of our strategists deciding it should.

Illustrative Slack thread. A strategist asks what is behind a dip in blended return, the agent answers with a table and two caveats, the strategist pushes back and asks for a different cut, the agent argues against it, and the strategist makes the call.

Illustrative. Real threads are messier, shorter and full of typos, which is rather the point.

Ask it like a person

Half-formed questions, dictated notes, a hunch you want checked. It handles speech rather than syntax, and follow-ups stay in the thread so you can keep pulling.

Somewhere to think out loud

Bounce a plan off it before you take it to the client. Ask it to argue the other side. Ask what would have to be true for the idea to work.

It pushes back

It will tell you when the cut you asked for answers the wrong question, and it flags what it is unsure about before you act rather than after.

A human signs it off

It drafts, checks and challenges. Our strategists edit, overrule and decide. The recommendation your team receives has a name attached to it.

And when nobody asks, it still shows up

A morning pacing check before anyone opens a dashboard. A weekly readout with the note to your team already drafted. A mid-week look while there is still time to act. Alerts that stay quiet unless something is genuinely worth your attention.

In practice

Two mornings that do not involve a dashboard.

The point is not that reporting gets faster. It is that the reporting arrives before anyone thinks to ask for it, and that the hard questions get an experiment rather than an opinion.

01

It shows up before you do

A pacing check pro-rated to where the month actually is, five numbers with a status on each, and one plain paragraph telling you whether any of it needs a decision. When something is worth celebrating it says so, and it tells you it will stop if that becomes noise.

Illustrative Slack post. A daily pacing check with five metrics and status dots, a short plain-English read, and a follow-up message celebrating eleven straight days above the return goal.
02

The question nobody could answer before

Would those sales have happened anyway. It is the only question that matters and most stacks cannot answer it. Here it turns into a designed experiment with a stated cost and a stated detection limit, a human decision about timing, and a readout four weeks later that recalibrates everything downstream of it.

Illustrative Slack thread. A growth lead asks whether video is genuinely incremental, the agent proposes a geo holdout test with market split, duration, detection limit and cost, the human chooses the timing, and a readout arrives 28 days later that recalibrates the attribution model.
Notice what the agent never does in either of these. It does not change a budget, it does not touch an ad account, and it does not decide anything. It prepares the decision and hands it to a person who is accountable for it.
Why the partnership matters

One plus one equals three.

A measurement platform with nobody running it is a licence fee. An agency without one is asking you to take its word. The value is in the same team owning the decision and the proof, on the same data, every week.

The platform on its own

Powerful, and largely unused. Tests need designing, models need calibrating, the agent needs a vocabulary. Most subscriptions run at a fraction of what they were bought for.

An agency on its own

Confident reporting with nothing underneath it. When the agency both runs the media and grades it, there is no independent number anywhere in the room.

Adquadrant running WorkMagic

We design the tests, calibrate the models, build the reporting, then manage the media against whatever comes back. The proof is independent of us, and we are the ones held to it.

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