Compass 101: What is Compass?

Overview

Marketing teams often have multiple sources telling them how their channels are performing.

Your ad platforms may show one number. First-party attribution may show another. MMM may show a broader channel-level view. Incrementality testing may show whether a campaign or channel drove lift beyond what would have happened otherwise.

Those numbers do not always match, and that does not always mean something is wrong. Each measurement method answers a different question.

Compass helps bring these signals together.

Instead of forcing your team to manually reconcile every source on its own, Compass gives you a unified measurement system for understanding channel performance and making budget decisions with more confidence.

Compass is designed for operators who need to decide where to invest, where to pull back, and which measurement signal to trust for the decision in front of them.

Key terms

Compass: Triple Whale’s unified measurement system. Compass brings together first-party attribution, incrementality, and MMM to help teams understand marketing performance across channels.
Command Center: The Compass interface for reviewing channels, models, and marketing decisions in one operator view.
First-party attribution: Attribution based on the data Triple Whale can collect and connect from your store, customer journey, and marketing activity.
Incrementality: A measurement method that helps estimate whether marketing activity caused additional business results that would not have happened otherwise.
Marketing mix modeling, or MMM: A measurement method that estimates how marketing channels contribute to business outcomes over time.
Channel efficiency: A way to understand how effectively a channel is turning spend into business results. Compass helps teams evaluate channel efficiency using measurement context beyond platform-reported numbers alone.
Measurement signal: A source of performance information, such as platform reporting, first-party attribution, incrementality testing, or MMM.

What Compass helps you do

Compass helps your team:

Understand cross-channel performance using more than platform-reported numbers.
Bring first-party attribution, incrementality, and MMM into one measurement system.
Compare marketing channels with a more trusted measurement foundation.
Make budget allocation decisions with more confidence.
Review where signals agree and where they may need more investigation.
Give Moby 2 additional measurement context when both products are available.
Use a Command Center view to connect channels, models, and decisions.

Available views and recommendations may vary based on your account setup, connected data, product access, and rollout status.

How Compass fits into your measurement stack

Compass is designed to help your team make sense of multiple measurement inputs.

Measurement input	What it helps answer
First-party attribution	What customer journeys and order data show inside Triple Whale.
Incrementality	Whether marketing activity created lift beyond what likely would have happened otherwise.
MMM	How channels may be contributing to business outcomes over time.
Platform reporting	How each ad platform reports performance using its own attribution rules.

Each source is useful, but each has limitations. Compass helps bring these signals into one place so your team can make decisions with more context.

How the Compass measurement loop works

Compass is strongest when each measurement method supports the others:

Step	What happens	Why it matters
Measure daily	First-party attribution helps you monitor performance across channels and campaigns.	Gives operators a faster read on what changed.
Plan strategically	Marketing mix modeling, or MMM, helps estimate how channels contribute to outcomes over time and where budget may have room to move.	Helps teams evaluate bigger budget decisions beyond one campaign or one day.
Validate lift	Incrementality testing helps confirm whether marketing activity caused results that would not have happened otherwise.	Grounds decisions in causal evidence, not just correlation.
Calibrate decisions	Compass brings these signals together so your team can decide which source is most useful for the decision in front of you.	Reduces manual reconciliation and improves confidence over time.

Compass does not make every source show the same number. It helps you understand why the numbers differ and how to use the right signal for the decision you are making.

Why Compass numbers may differ from platform dashboards

Compass may show different performance signals than Meta, Google, TikTok, or another ad platform.

That does not automatically mean one source is wrong. Different tools use different attribution windows, methodologies, and data inputs.

For example:

Source	Why it may differ
Ad platform reporting	Uses the platform’s own attribution model and may give that platform credit for conversions.
First-party attribution	Uses connected customer journey and order data from Triple Whale.
Incrementality	Measures lift against a comparison or holdout method.
MMM	Estimates contribution across channels over time.

Compass is meant to help you understand these differences and use the right signal for budget decisions.

Compass and budget decisions

Compass is built for cross-channel budget planning.

Use Compass when you are asking questions like:

“Which channels are performing most efficiently?”
“Where should we consider increasing spend?”
“Where might we be over-invested?”
“Which signal should we trust for this budget decision?”
“Where do we need more measurement confidence?”
“How should MMM and incrementality affect our planning?”

Compass is especially useful when platform-reported numbers alone do not give your team enough confidence to make the next budget decision.

Compass and Moby 2

Compass can make Moby 2 more useful by giving it additional measurement context.

When Compass is available, Moby can use measurement signals from Compass to support its recommendations. This is especially relevant for workflows like media buying, where Moby needs to understand not just what each platform reports, but what your broader measurement system says about channel performance.

For example, Moby may use Compass context to help with:

Explaining channel performance.
Comparing budget options.
Preparing media-buying recommendations.
Understanding where platform reporting and broader measurement signals may differ.

Available Moby + Compass capabilities may depend on your account setup, product access, and rollout status.

The Command Center

Compass includes a Command Center experience designed to give operators a single view across channels, models, and decisions.

Use the Command Center to review measurement context and support budget planning conversations.

The Command Center is meant to reduce the need to jump between disconnected reports when making cross-channel decisions.

Signal agreement and disagreement

Sometimes your measurement signals will point in the same direction. When that happens, your team may have more confidence in the decision.

Sometimes they will disagree. For example, a platform may show strong performance while incrementality or MMM suggests a lower contribution.

When signals disagree, the right next step is usually not to force the numbers to match. The better approach is to understand why they differ and decide which signal is most relevant for the decision you are making.

Common reasons signals may differ include:

Different attribution windows.
Different measurement methods.
Channel overlap.
Seasonality.
Promotions.
Changes in spend.
Data freshness.
Tracking or integration gaps.
Test design or sample size.

Compass helps teams bring those differences into the decision process instead of relying on one number in isolation.

Getting the most from Compass

Compass is most useful when your measurement foundation is strong.

You can get more value from Compass when:

Your first-party data is connected and healthy.
Your attribution setup is reliable.
Your MMM program is current.
You use incrementality testing where additional confidence is needed.
Your team reviews differences between measurement signals.
Budget decisions account for business context, not just one metric.

Compass helps organize the measurement inputs. Your team still brings the business context around goals, margin, inventory, promotions, and risk tolerance.

What Compass is not

Compass is not a replacement for business judgment. It gives you a stronger measurement foundation, but your team should still consider inventory, margin, seasonality, promotions, creative changes, and business goals before making major budget decisions.

Compass also does not mean every channel has the same level of measurement confidence. Available views depend on your connected data, product access, model setup, and whether enough data exists to support the analysis.

Important to know

Compass may not match ad platform dashboards because it uses a broader measurement context.
First-party attribution, incrementality, MMM, and platform reporting answer different questions.
Compass depends on the data and measurement inputs available in your account.
Some Compass capabilities may vary by plan, setup, and rollout status.
Compass is designed to support more confident budget decisions, not remove the need for business judgment.
Moby 2 can use Compass context when available, but exact capabilities may depend on product access and account setup.