Nobody walks into a surgical theatre and tells the surgeon which incision to make. Nobody stands next to a structural engineer and suggests a different load-bearing approach. We accept that expertise in these fields requires years of training, and that the gap between knowing what a good outcome looks like and knowing how to produce one is vast and non-obvious.
Marketing doesn't get the same respect.
We are all consumers. We all receive marketing. That familiarity makes it feel accessible — feel being the operative word. But there is a gap between recognising good marketing and building it. The thinking that fills that gap is invisible when it works, and expensive when it's missing.
The familiarity problem
I have sat in rooms where a CFO redesigned a homepage in their head before the data was loaded. Where a founder overrode a channel strategy because a competitor was running ads in a different format. Where a board member questioned a campaign's creative because it didn't look like something they'd personally click on — as though they were the target audience.
None of these people were acting in bad faith. They were acting from familiarity. They consumed marketing every day. They knew what good looked like to them. That felt like enough.
The most costly marketing decisions I've seen weren't made by people who didn't care. They were made by people who cared a great deal and who mistook their own experience as a consumer for expertise as a builder.
The distinction matters because the skills required to evaluate marketing as a consumer and to build effective marketing are almost entirely different. One requires pattern recognition and taste. The other requires understanding of audience psychology, channel mechanics, attribution logic, creative testing, competitive context, and the relationship between what you measure and what actually drives revenue.
What the gap actually looks like
The gap between consumer familiarity and marketing expertise shows up in predictable ways:
- Optimising for the wrong signal. A campaign that generates likes and engagement but doesn't move pipeline. A landing page that looks beautiful but converts at half the rate of the plainer version. Decisions made on what feels like success rather than what actually is.
- Solving the wrong problem. A company that spends on brand awareness when the conversion rate on its existing traffic is 0.4%. A team that hires content writers when the issue is that no one can find the content. Effort applied to the visible problem rather than the upstream one.
- Undervaluing the infrastructure. The unglamorous work — audience segmentation, attribution setup, email deliverability, SEO fundamentals — that determines whether the visible work produces results. This work is invisible to most stakeholders. It doesn't look like marketing. But without it, nothing else compounds.
Why this matters more now
The proliferation of AI tools has made this dynamic more acute, not less. It is now possible to produce a large volume of marketing output very quickly. Strategy documents. Email sequences. Social content calendars. Ad copy. It looks like marketing. It reads like marketing.
But volume is not strategy. Output is not insight. And the ability to produce things quickly has made it easier than ever to move fast in the wrong direction with a great deal of confidence.
The gap between looking like marketing and actually working as marketing has never been wider. The tools have democratised production. They haven't democratised judgement.
What good partnership looks like
I'm not arguing that marketing should operate without scrutiny, or that senior leaders shouldn't be involved in strategic decisions. I'm arguing for the right kind of involvement.
The most effective leadership I've seen treats marketing leaders the way they treat other specialists: with clarity about what they're optimising for, genuine curiosity about the reasoning behind decisions, and enough trust to let expertise operate. They ask questions. They share context. They define the business outcome and let the marketing function determine how to get there.
That's a different relationship than one where everyone has a thought about the colour of the button or the subject line of the email.
The surgery analogy isn't meant to make marketing sound more important than it is. It's meant to be honest about what it requires. There is a craft here. There are things that work and things that don't, and knowing the difference takes time and repetition and failure and iteration that can't be shortcut by familiarity with the output.
The thinking that fills the gap is invisible when it works. That's not an accident. That's what expertise looks like.