Your dashboard is lying to you
The problem is, it's doing it politely
The average CMO tenure is 28 months. The shortest of any C-suite role.
63% of marketing leaders believe they drive long-term business growth. Only 35% of finance leaders agree. That is not a communication problem. It is a measurement problem.
The dashboard produces certainty. Sessions up. Click-through rate steady. Engagement holding. The numbers glow green, and the team feels like progress is happening.
The problem is what dashboards are designed to do. They are designed to confirm, not interrogate. They surface what is easy to track, not what drives commercial outcomes. And because human beings are profoundly prone to seeking confirmation of what we already believe, we build dashboards that tell us things are working — and we call that intelligence.
It is not intelligence. It is an expensive mirror.
THE MECHANISM
In 1975, economist Charles Goodhart identified a pattern that has since become one of the most reliable laws in organisational behaviour. When a measure becomes a target, it ceases to be a good measure.
The moment a marketing team starts optimising a metric, they change its relationship to the thing it was supposed to measure. Click-through rate is a genuine signal of attention, until the organisation starts optimising for click-through rate. At that point, it measures the quality of the hook, not the quality of the commercial outcome. Engagement rate is a genuine signal of resonance, until content is designed to maximise engagement rate. At that point, it measures entertainment, not brand preference.
The metric survives. The signal dies.
Most marketing dashboards are full of metrics that were once useful signals and have since become targets. The data looks healthy. The brand may not be.
THE CASE THAT GETS THIS RIGHT
Monzo publishes its transparency reports, sharing customer acquisition costs, retention curves, and the reasons customers leave. This is not a brand exercise. It is a measurement discipline.
The discipline is: measure the honest signal, even when it is uncomfortable. Build the system so that the CFO and the CMO are reading the same data. Eliminate the gap where marketing intelligence and finance credibility should overlap but never do.
The result is a brand whose measurement system is trusted by the whole organisation — not just the marketing team. That trust has commercial value that no amount of impressive click-through rates can replicate.
Oatly takes the same principle into brand communication. Publishing imperfect data — including the parts that reflect badly on the brand — creates a credibility that polished metrics never achieve. The audience trusts the numbers because the numbers have been allowed to be inconvenient.
Both brands understand something most organisations do not: measurement that only confirms the positive is not a measurement system. It is a confidence management programme.
THE COMMERCIAL CONSEQUENCE
Between 60 and 75% of buy-side marketers say today's leading measurement approaches underperform on rigour, timeliness, trust, and efficiency, according to industry research published by The Drum this year. The instruments that marketing trusts most are the ones finance trusts least.
That gap has a commercial cost. It shows up in budget decisions, in strategic credibility, and in the 28-month tenure of the person responsible for resolving it.
The brands building durable category authority are not the ones with the most sophisticated dashboards. They are the ones where the measurement system tells the truth — including about what is not working.
THE DIRECTIONAL MOVE
Identify the three metrics on your current dashboard that would look identical whether the brand was compounding or declining.
Those metrics are not measuring anything commercial. They are producing comfort. And comfort, however pleasant, is not intelligence.
Replace one of them this month with a metric that could deliver an uncomfortable finding. That is the start of a measurement system worth having.
