Measure What Matters
More data doesn't automatically create better decisions.
Marketing can measure almost everything: Impressions, clicks, engagement, leads., conversions, revenue, customer value.
The problem isn't usually a lack of data. It's knowing which data matters.
I start with the business outcome and work backwards.
The Model
BUSINESS OUTCOME → CUSTOMER OUTCOME → MARKETING OUTCOME → CHANNEL SIGNAL
Each layer should connect to the one above it.
The further down you go, the more specific the measurement becomes.
But the further down you go, the easier it is to lose sight of the reason you're measuring it.
01 — Business Outcome
What does the business actually need?
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Revenue.
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Profit.
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Growth.
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Retention.
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Market share.
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Customer value.
A business objective gives measurement its context.
Without it, marketing can optimise numbers that look good without creating meaningful business value.
02 — Customer Outcome
What needs to happen with the customer?
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A customer needs to discover you.
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Consider you.
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Trust you.
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Buy.
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Stay.
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Buy again.
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Recommend you.
These are the behaviours that connect marketing activity to business results.
03 — Marketing Outcome
What does marketing need to influence?
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Demand.
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Qualified opportunities.
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Conversion.
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Customer acquisition cost.
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Retention.
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Customer value.
Marketing outcomes should describe the contribution marketing is expected to make.
04 — Channel Signal
What is each channel telling us?
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Clicks.
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Reach.
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Engagement.
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Cost.
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Conversion rate.
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Search behaviour.
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Email response.
These metrics are useful. But they are signals, not the final objective. A channel can improve its metrics while the business gets worse.
That's why channel performance needs to be understood in context.
The Metric Isn't the Outcome
This distinction is easy to lose.
A campaign can generate more clicks. A website can generate more leads. A social channel can generate more engagement. A search campaign can reduce cost per click. All of those can be positive signals.
None automatically means the business is growing.
The question is:
What did this activity actually change?
Start With the Decision
I don't believe every metric needs to be reported. Instead, start with the decision you need to make.
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If you're deciding whether to increase budget, you need evidence about performance and economics.
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If you're deciding whether to change the proposition, you need evidence about customer response.
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If you're deciding whether to improve the journey, you need evidence about behaviour and friction.
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If you're deciding whether to automate something, you need evidence that the process is worth improving.
Measurement should help you decide what to do next.
Measurement Should Create Learning
A useful measurement system doesn't simply tell you what happened.
It helps you understand:
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What happened?
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Why might it have happened?
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What does it mean?
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What should we do next?
That is where measurement becomes useful. Not when the dashboard is bigger. When the decision is better.
Don't Optimise the Visible Number
Some metrics are easy to improve. That doesn't make them the right metrics to optimise.
If you optimise clicks, you can get more clicks.
If you optimise leads, you can get more leads.
If you optimise engagement, you can get more engagement.
But if the business needs profitable customers, the system needs to connect those activities to profitable customers.
Optimisation without context can create the wrong result more efficiently.
Measurement and the Customer Journey
Measurement should follow the journey.
Trigger → Discovery → Consideration → Trust → Decision → Conversion → Experience → Advocacy
Different signals become relevant at different points.
The objective isn't to force every stage into one metric.
It's to understand what progress looks like at each stage — and how those stages connect.
Measurement and Signal
This is where Measure What Matters connects with Signal Before Scale.
Measurement gives you evidence. Signal helps you interpret it.
Together, they help answer:
What is actually happening?
And more importantly:
What should we do about it?
The Operating System
Measurement is one part of the operating system behind the Customer Acquisition System.
SIGNAL + STRUCTURE + MEASUREMENT
These create the conditions for ORCHESTRATION — connecting people, process, data, technology and channels.
The goal isn't to measure everything.
It's to create enough useful evidence to make better decisions.
Related Thinking
The Customer Acquisition System
Start with the business and work backwards to the marketing.
The Customer Journey
Understand what progress looks like across the customer experience.
Signal Before Scale
Turn measurement into meaningful signals before increasing investment.
Structure Before Scale
Build the structure needed to turn measurement into action.