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brlvnt
Attribution & incrementality

See which channels actually drive growth.

One model connecting spend, signals, and real business impact.

A media mix chart being redrawn after a channel's real contribution is tested

Relevant

Growth, intelligently executed.

Why attribution misleads

Give credit to the channel that earned it.

Platform-reported attribution rewards whichever channel touches a conversion last. Budget follows the easiest story to tell, not the channel moving revenue.

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A clearer view of what is actually working

Pragmatic attribution and incrementality testing separate the channels driving growth from the ones simply claiming credit for it.

Budget decisions built on evidence

Spend shifts toward the channels shown to move outcomes, with the limitations of the measurement stated plainly, not hidden.

A model your team can defend

Assumptions, test design, and results are documented so the attribution view holds up under internal or executive scrutiny.

How the work runs

Turn channel evidence into a usable model.

The same sequence governs every engagement. Scope follows the channels, data maturity, and decisions attribution is meant to support.

01

Analysis

Review existing attribution, platform-reported results, and the decisions currently being made on top of them.

02

Strategy

Define the attribution and incrementality approach appropriate to the data available and the decisions at stake.

03

Implementation

Build the model or test design, document assumptions, and connect the output to reporting your team already uses.

04

Optimization and reporting

Refine the model as new data arrives and translate results into specific budget and channel decisions.

What we run

The components of a defensible attribution model.

Each component can stand alone or run as part of a full measurement program. Your team keeps final authority over data and methodology decisions.

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Attribution modeling

Apply an attribution approach suited to your data and channels, and state its limitations plainly.

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Incrementality testing

Design holdout or geo-based tests that isolate what a channel adds beyond what would have happened anyway.

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Media mix analysis

Evaluate how channels perform together, not just individually, to guide budget allocation across the full plan.

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Decision-ready reporting

Translate model outputs into specific recommendations for budget, channel, and campaign decisions.

Built for complex media programs

For programs with enough spend to test properly.

  • Spend large enough to test. The media budget is large enough that a wrong channel decision has a real cost.
  • Channels that interact. Several paid and owned channels run together, making single-channel attribution unreliable on its own.
  • Someone who can approve a holdout. An internal owner can approve test design, hold budget for a holdout, and act on the result.
Attribution and incrementality questions

What to know before we start.

Scope depends on your channels, data maturity, and the decisions attribution needs to support.

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What does brlvnt manage within attribution and incrementality?+

Scope can include attribution modeling, incrementality and holdout test design, media mix analysis, and translating results into reporting your team uses. Final scope reflects your data and decision needs.

Can brlvnt work with the attribution we already have in-platform?+

Yes. We review existing platform-reported attribution first, then decide whether it needs correction, supplementing, or replacing.

Does brlvnt run tests, or just build reporting?+

Both. Where the data supports it, we design incrementality or geo-holdout tests. Where it doesn't, we build the strongest attribution view the available data allows.

How long does an incrementality test take?+

It depends on the channel, budget, and test design. We define the timeline and required conditions before the test begins so results are usable.

How does brlvnt handle the limitations of attribution?+

We state what the model can and can't tell you. We do not present attribution as perfect causality, and we use the available evidence to support decisions, not to overstate certainty.

How does AI change attribution and incrementality?+

AI and automation can accelerate modeling, anomaly detection, and reporting. Human judgment remains responsible for test design, interpretation, and the budget decisions that follow.

Bring us the channel decision you can't yet defend.

Share your channels, current attribution setup, and the budget decision at stake. We'll identify what evidence would actually settle it.

A priority connected to growth, efficiency, or scale
An accountable business owner
Access to the relevant teams, systems, and data

A focused conversation about the problem, the opportunity, and the next step.