You're Measuring How Hard Your Marketing Is Working. Not Whether It Is.

Your report says impressions are up 30%. Clicks grew by 18%. CTR is above the industry benchmark. Cost per click dropped. Quality Score is sitting at 7 or 8 across your core ad groups.

On paper, your marketing has never looked better.

So why hasn't the phone started ringing more?

This is the question we hear most often from SME owners spending $3,000 to $10,000 a month on digital marketing. Every metric in the report is green. The business isn't growing. And nobody can explain the gap.

The explanation isn't complicated. But it is uncomfortable: most marketing reports don't measure whether your marketing is working. They measure whether the platform is working. Those are not the same thing.

The difference between activity metrics and outcome metrics

There are two categories of marketing metric. One measures activity: did the ad run, did people see it, did they interact with it? The other measures outcomes: did it change behaviour, did it generate revenue, did it grow the business?

Almost every standard marketing report is dominated by activity metrics. Impressions. Clicks. CTR. CPC. Video views. Reach. Engagement rate. These metrics answer the question "Is the machine running?" They don't answer "Is the machine producing anything?"

Avinash Kaushik, one of the most respected voices in marketing analytics, built a framework for rating metrics by their actual intelligence value. He calls it the Impact Intelligence Score, and it runs from 1 to 10. Here's what it reveals:

The metrics you check every morning are the ones telling you the least.

When a metric becomes a target, it stops being a metric

There's an economics principle called Goodhart's Law that explains exactly what happens next. British economist Charles Goodhart originally articulated it in 1975: "When a measure becomes a target, it ceases to be a good measure."

Applied to marketing: the moment you start optimising for a metric, you corrupt the signal that metric was providing.

Here's a concrete example. Click-through rate was originally designed to indicate how relevant an ad is to the person seeing it. High CTR meant the message resonated. Useful signal. But then CTR became a target. Agencies started writing clickbait headlines to inflate it. Platforms started rewarding high-CTR ads with lower CPCs. Suddenly, optimising for CTR meant writing ads that people clicked on out of curiosity, not buying intent.

This is Goodhart's Law in action. You optimised the metric. The metric stopped measuring what you cared about. And the faster a metric updates, the more aggressively you (and the platform's algorithm) optimise for it, and the faster it loses its meaning.

Think about what this means for your weekly marketing report. Every green number might be green precisely because someone optimised it into meaninglessness.

Your report was designed to make the platform look productive

Here's the part nobody talks about. The metrics that dominate your marketing report weren't chosen because they're the most useful for your business. They were chosen because they're the most useful for the platform.

Google shows you impressions, clicks, and CTR because those metrics demonstrate that Google is doing its job: showing your ads to people and generating engagement. Meta shows you reach, frequency, and video views because those metrics demonstrate that Meta is distributing your content.

Neither platform has an incentive to surface the metric you actually need: "Did this marketing activity cause someone to choose your business who otherwise wouldn't have?"

That metric is hard to measure, slow to materialise, and often ambiguous. From the platform's perspective, it's terrible. From your perspective, it's the only one that matters.

Sam Tomlinson captured this tension perfectly in his newsletter The Digital Download: 80% of the effort goes to the creative, but 80% of the impact happens after the click. Everyone fights to win attention. Almost nobody asks what they're doing with that attention once they've earned it.

The implication for measurement is brutal. You're spending 80% of your reporting energy on the part of the funnel that contributes 20% of the outcome.

The 95% your report can't see

The measurement problem gets worse when you understand who your future customers actually are.

Research from the Ehrenberg-Bass Institute established what's now called the 95-5 rule: at any given time, only about 5% of potential buyers are actively in market for what you sell. The other 95% aren't ignoring you. They simply don't need what you sell right now. They will eventually. But not today.

Your entire Google Ads dashboard measures what happened with the 5%.

Did they click? Did they convert? What did they cost? These are useful questions for the small slice of the market that's actively shopping. But they tell you nothing about whether the 95% who'll buy in six months, twelve months, or two years will think of your business when the time comes.

That's what Byron Sharp calls mental availability: the probability that your brand comes to mind in a buying situation. It's the single biggest driver of business growth. And it doesn't appear anywhere in a standard marketing report.

We've written before about why 95% of your future customers aren't Googling you right now. The measurement corollary is just as important: if your report only covers the 5% who are Googling, you're flying blind on the part of the market that determines whether you grow or stagnate.

The doom loop: better metrics, worse business

This creates a predictable pattern that Les Binet and Peter Field have documented across nearly 1,000 IPA Databank case studies.

When you optimise for fast, visible metrics, you naturally shift budget toward activation: the ads, offers, and campaigns designed to capture the 5% already in market. Click-focused ads. Retargeting. Bottom-of-funnel search terms. These produce beautiful short-term numbers.

At the same time, you underfund brand building: the activity that makes the other 95% think of you when their time comes. Always-on visibility. Broad reach. Distinctive creative that builds memory structures. These activities produce terrible short-term numbers. They move slowly. They're hard to attribute. They look like waste in a quarterly report.

Binet and Field's research shows the optimal split is roughly 60% brand building, 40% activation. But most SMEs run close to 100% activation because that's what the report rewards. This is what your marketing working in quarters while customers think in years looks like in practice.

The doom loop works like this:

• You optimise for fast metrics (CTR, CPC, conversion rate)
• Budget shifts toward activation, away from brand
• Your reports improve because activation metrics respond quickly
• Your pool of "people who think of you" stops growing
• You compete harder for the same 5% in market, driving costs up
• Customer acquisition cost rises, despite "improving" metrics
• You optimise harder, doubling down on step 1

The reports keep getting greener. The business keeps getting more expensive to grow.

What to measure instead

Breaking out of the doom loop doesn't require abandoning platform metrics entirely. It requires adding the metrics that platforms don't show you, and giving them more weight in your decisions than the ones that arrive first.

• Cost per qualified lead (not cost per click)
• Lead-to-sale conversion rate
• Revenue per lead by source
• Return on ad spend measured on actual closed revenue, not platform-reported conversions

• Direct and branded search volume trends (month-over-month, year-over-year)
• Share of search vs. competitors (free via Google Trends)
• Review volume and velocity on Google Business Profile
• Unprompted mentions in customer conversations ("How did you hear about us?" with genuinely open response, not a dropdown)

• Blended customer acquisition cost trend over 12 months (not point-in-time)
• Ratio of branded to non-branded traffic
• New customer volume (not just lead volume)

None of these metrics will update daily. That's the point. The metrics worth watching are the ones that move slowly, because they're measuring things that are hard to change. The ones that move fast are measuring things the platform changes on its own.

What This Means for Your Business

Next time you open a marketing report, count the metrics. Then sort them: how many measure what the platform did, and how many measure what your business gained?

If the ratio is 8:2 in the platform's favour, you're reading a report about Google's performance, not yours.

The fix isn't complicated. Ask your agency (or yourself) to add three things: branded search trend, blended CAC over 12 months, and new customer volume by month. Those three numbers, tracked quarterly, will tell you more about whether your marketing is actually working than every CTR and Quality Score data point combined.

The metric that matters most isn't in your Google Ads dashboard. It's whether someone thinks of your business before they start searching.

That's the number worth watching. Even if it takes six months to move.

Further Reading

• Best Metrics for Digital Marketing by Avinash Kaushik: the original framework for ranking owned, earned, and paid metrics by business intelligence value
• The Long and the Short of It by Les Binet and Peter Field: the IPA research proving the 60/40 brand-to-activation split across 996 campaigns
• What Goodhart's Law Can Teach You About Performance Data via AdExchanger: how targeting a proxy metric corrupts the signal it was designed to provide
• The 95-5 Rule from Ehrenberg-Bass Institute: why 95% of potential buyers aren't in market at any given time
• 80% of Effort to Creative, 80% of Impact After the Click by Sam Tomlinson: why the post-click experience is where marketing impact actually lives