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
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 business, 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.
How it works
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.
The Compass measurement loop
How it 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.
When to use / trade-offs
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.
Related questions
Do I need MMM and incrementality testing before I can use Compass?
How does Compass know which signal to trust?
Why don't Compass numbers match what my platform dashboards show?
What is the Command Center?
How does Compass make Moby 2 better?
Can Compass measure offline channels like TV or podcast?
How often does Compass refresh?
What happens when my MMM model and my incrementality test disagree about a channel?
Can Compass handle Amazon or retail sales, not just DTC?