Episode 12 Transcript

Is Marketing Just Guessing? (Or: Why It Feels Like It Even When You Have Data)

Welcome back to The Overthinker’s Guide to Modern Marketing — the podcast for people who’ve ever opened a marketing dashboard looking for clarity and instead discovered seventeen tabs, three conflicting opinions, and a graph that feels vaguely disappointed in them.

I’m your host, Sean Makin — a man who approaches marketing strategy with the same energy squirrels apply to hiding nuts: frantic, obsessive, and with absolutely no certainty any of it will make sense later.

Before we begin, make yourself comfortable. Ideally somewhere expensive-looking. Somewhere with soft lighting, aggressively minimalist furniture, and the kind of atmosphere that suggests somebody nearby owns a notebook purely for “ideas.”

And if you can acquire a drink so artisanal it requires both a backstory and a serving ritual, all the better.

Today we’re tackling one of modern marketing’s most persistent questions:

Why does marketing still feel suspiciously like guessing, even when you have enough data to wallpaper an entire office with pie charts?

Because somewhere between analytics dashboards, attribution models, audience segmentation, and weekly reports containing phrases like engagement velocity, many marketers have quietly arrived at the same conclusion:

“We appear to have measured everything except certainty.”

Part 1: The Age of Data

Let’s begin with one of the great promises of modern marketing:

Data will remove uncertainty.

That was the pitch.

Once we had analytics dashboards, behavioural tracking, attribution models, engagement metrics, heat maps, user journeys and enough acronyms to make ordinary conversation structurally impossible, marketing would finally become scientific.

Precise. Predictable.

Like engineering.

Or tax evasion among large corporations.

And to be fair, data has changed marketing.

We can now track astonishing amounts of information. We know where people came from, what they clicked, how long they stayed, what device they used, how far they scrolled, and in some cases, the exact moment they emotionally disengaged from a landing page.

Useful. Slightly unsettling. But useful.

There was a time when marketers had almost none of this. Entire campaigns were launched based on instinct, optimism, and a suspiciously confident man named Derek saying things like:

“People love orange.”

And occasionally…

Derek was right.

Which is deeply annoying for everyone who now spends six hours building performance reports.

There is a particular kind of confidence unique to marketing analytics platforms. No matter what is happening, the dashboard always looks convinced.

Traffic down 48%?

The graph remains calm.

Campaign failing spectacularly?

The pie charts stay strangely upbeat.

It’s the visual equivalent of someone saying:

“Well… this is certainly interesting.”

while the building quietly fills with smoke.

The problem is that once businesses realised they could measure things, they became extremely enthusiastic about measuring absolutely everything.

Open rates. Bounce rates. Engagement rates. Click-through rates. Conversion rates.

At one point someone almost certainly tried to invent:

Rate rates.

And somewhere along the way, people began assuming that because data was detailed, it must also provide certainty.

It doesn’t.

Data doesn’t eliminate uncertainty.

It simply gives uncertainty charts.

Because numbers can tell you what happened.

They can tell you that 4,000 people visited your website, 900 clicked a button, 112 abandoned a form halfway through, and one person spent seventeen minutes reading your About page at 2:14am for reasons nobody fully understands.

But data struggles with a much more important question:

Why?

Why did one headline succeed while another fail?

Why did people ignore the carefully researched campaign but enthusiastically engage with the post someone wrote in six exhausted minutes while eating toast?

Why do users routinely behave like people who were given clear instructions and then decided to follow an entirely different emotional journey?

Somewhere in every marketing department is a campaign that should have worked.

The strategy was flawless. The targeting precise. The messaging refined through twelve rounds of stakeholder feedback and at least one emotionally difficult meeting.

It failed completely.

Meanwhile, a blurry behind-the-scenes photo accidentally posted to Instagram becomes the company’s highest-performing content of the year.

No one speaks of this openly.

But everyone remembers it.

Because despite all the sophistication, marketing still contains an uncomfortable amount of educated guesswork.

Not reckless guessing.

Interpretation.

Judgement.

Instinct.

Data can guide decisions.

But it cannot fully explain human beings.

And unfortunately for marketers, human beings remain the central feature of the entire system.

Part 2: The Problem with Humans

Unfortunately, the central variable in marketing remains exactly what it has always been:

People.

And people are deeply inconvenient.

For all our dashboards, analytics platforms and behavioural tracking tools, human beings continue to make decisions in ways that appear, at times, almost artistically irrational.

People will ignore a perfectly targeted advert and then buy something at 1:12am because the packaging felt “honest.”

They will spend three weeks researching a £14 kitchen appliance and purchase a luxury sofa after seeing precisely one photograph involving a Labrador and good lighting.

There is an entire category of consumer behaviour best described as:

“I don’t know why I bought this, but apparently we live like this now.”

Marketing researchers call this emotionally led purchasing behaviour.

Which is a very professional way of saying:

“People panic-bought candles again.”

Humans do not behave consistently enough to make marketing feel entirely scientific.

Because people are not equations.

They are emotions carrying debit cards.

One person clicks because they’re curious.

Another because they’re bored.

A third because they misread the button entirely and are now too committed to back out.

And somehow all three appear in the same analytics report labelled simply:

User Engagement.

Technically correct.

Emotionally misleading.

Numbers create the illusion that people are behaving rationally when, in reality, they are behaving humanly.

And those are very different things.

Humans respond to mood, timing, trust, familiarity, colour, tone, social proof and occasionally whether they’ve had lunch yet.

Which means two campaigns with nearly identical data can produce wildly different outcomes.

Not because the data is wrong.

Because people are complicated.

Part 3: The Illusion of Certainty

Data does something extraordinarily powerful to the human brain.

It creates confidence.

Not necessarily accuracy.

Not wisdom.

Certainly not emotional stability.

But confidence? Absolutely.

There is something about a graph — particularly one with upward movement — that immediately causes people to speak in firmer tones.

Suddenly everyone in the room develops the energy of a minor prophet interpreting sacred markings.

Phrases emerge like:

• “The data clearly shows…”
• “The audience has spoken…”
• “The numbers don’t lie…”

Which is interesting.

Because numbers, technically speaking, don’t say anything at all.

People say things about numbers.

And sometimes those people are guessing with remarkable professionalism.

There exists a specific species of meeting found almost exclusively in marketing departments where a graph is placed on a large screen and everybody collectively pretends to understand it at exactly the same level.

No one wants to ask questions first.

This would imply weakness.

So instead everyone nods thoughtfully while internally thinking:

“I’m sure the red line is bad.”

Occasionally someone says:

“Interesting.”

Which buys another four minutes.

This is how data slowly transforms from a useful tool into a kind of modern mythology.

Because once organisations have enough metrics, dashboards and reporting structures in place, people begin treating measurements as certainty itself.

Clicks become proof of interest.

Views become proof of impact.

Engagement becomes proof of connection.

Even when none of those things necessarily mean what people desperately want them to mean.

Metrics are seductive because they are measurable.

And measurable things feel controllable.

But data, by itself, cannot tell you what actually matters.

It can only tell you what was measured.

And those are very different things.

Part 4: The Comfort of Overthinking

As overthinkers, our response to uncertainty is immediate and entirely predictable.

We attempt to solve it…

by thinking harder.

If a campaign underperforms, we analyse it.

If engagement drops, we investigate.

If a landing page converts poorly, we stare at heat maps with the emotional intensity of detectives examining evidence in a crime drama.

Because marketers genuinely believe that if we examine enough data, ask enough questions and open just one more dashboard, clarity will eventually emerge.

Like enlightenment.

Or a slightly better bounce rate.

Unfortunately, reality doesn’t always cooperate.

Because overthinking marketing data is a bit like trying to interpret dreams using Microsoft Excel.

Patterns begin to appear everywhere.

Tiny fluctuations suddenly feel meaningful.

And before long, someone is emotionally convinced that changing a button colour caused a complete collapse in consumer confidence.

One client once became convinced their marketing campaign had failed catastrophically.

Reports were reviewed.

Meetings were held.

Expressions became serious.

Someone even used the phrase:

“We may need to completely rethink the brand.”

The reason?

Website traffic had apparently dropped by almost 70%.

Except after several tense days of analysis, somebody eventually discovered the dashboard had been comparing:

Last 7 Days

with

Last 7 Hours

It turned out Gary had selected the wrong dropdown menu.

Which, to be fair, has probably altered the course of more business strategy than anyone would comfortably admit.

The lesson is simple:

Data should inform decisions.

Not emotionally destabilise everyone involved.

Part 5: What Actually Matters

After all the dashboards, reports, metrics and meetings where people say granular with alarming confidence, we arrive at an important question:

What actually matters?

Despite the complexity of modern marketing, the fundamentals remain surprisingly human.

Good marketing still depends on things that are difficult to fully measure:

• Empathy
• Timing
• Trust
• Relevance
• Communication
• Understanding what people care about

Businesses love measurable certainty.

Humans continue to operate more like emotionally inconsistent weather systems.

Data can tell you where attention went.

But it cannot fully explain why something connected.

Why one campaign felt memorable while another felt like it was written by a committee trapped in a meeting room with weak coffee and no natural light.

Meet Edward

To explain this properly, I’d like to introduce you to Edward.

Edward is imaginary.

But emotionally very real.

HOST: Edward recently visited a website selling premium office chairs. Edward, would you describe yourself as a rational consumer?

EDWARD: Absolutely. I compared specifications, materials and ergonomic support ratings.

HOST: And why did you buy the most expensive chair?

EDWARD: Well… it had a photograph of someone looking unusually calm near a large window.

HOST: Right. And the lumbar support?

EDWARD: Couldn’t tell you. But emotionally… it suggested success.

And this is the problem with marketing reports.

Because somewhere in the analytics dashboard, Edward appears as:

Converted User

Which sounds wonderfully scientific.

But the actual customer journey was:

“I saw a confident Scandinavian man holding coffee and now I believe my life can improve.”

This is what marketers are actually dealing with.

Not machines.

Not predictable systems.

But emotional decision-making wrapped in professional language.

The best marketers don’t simply optimise for clicks.

They optimise for connection.

For clarity.

For trust.

Because the campaigns people remember are rarely the ones with the most impressive spreadsheet performance.

They’re the ones that felt relevant.

Human.

Interesting.

The Truth About Marketing

After all the dashboards, reports, graphs, conversion funnels, strategy decks and emergency meetings about engagement metrics, we arrive at the uncomfortable truth about marketing:

It is not pure science.

And it is not pure creativity either.

It exists somewhere awkwardly in between.

Like a statistician forced to improvise jazz.

Marketing is fundamentally an attempt to understand people.

And people, despite centuries of research and several extremely confident TED Talks, remain gloriously difficult to predict.

The best marketing is often surprisingly simple:

• Clear message
• Clear value
• Clear understanding of people

Because underneath all the analytics and optimisation, marketing is still communication.

You’re still trying to answer basic human questions:

• Why should I care?
• Can I trust this?
• Will this improve my life?
• And why does this advert keep following me around the internet like a disappointed relative?

Humans rarely make decisions based entirely on logic.

They make decisions based on how something feels, then construct wonderfully convincing explanations afterwards.

The best marketers aren’t the people who eliminate uncertainty.

They’re the people who become comfortable working with it.

Testing ideas.

Learning from mistakes.

Adjusting when things fail.

Remaining curious instead of defensive.

Because failure in marketing isn’t evidence of incompetence.

It’s evidence that humans continue being humans.

Complicated.

Emotional.

Occasionally impossible to interpret.

So…

Is marketing just guessing?

No.

But it is experimentation.

Observation.

Interpretation.

A strange mixture of psychology, communication, timing and educated instinct held together with dashboards and mild anxiety.

And honestly?

That’s probably why people love it.

Even when it drives them completely mad.

Outro

Thank you for joining me for this episode of The Overthinker’s Guide to Modern Marketing.

Until next time, stay curious, keep questioning, and remember:

Good marketing doesn’t come from pretending you know everything.

It comes from being willing to learn continuously while trying not to overreact every time a graph slopes gently downward.

Because growth rarely belongs to the people who feel completely certain.

It belongs to the people willing to test, adapt, rethink and occasionally admit that Edward may have influenced strategy more than the analytics did.

And if all else fails…

At least make sure your dashboards are comparing the correct dates.

Have a Topic Suggestion?

If there’s a topic you’d like explored, over-analysed, or gently dismantled over the course of thirty slightly existential minutes, I’d love to hear from you.

And if you’ve got ideas for improving the podcast, guest interviews, listener questions, deeper dives into specific topics, please get in touch.

Because much like marketing itself, this podcast remains an ongoing experiment held together with curiosity, overthinking, and occasionally slide fourteen.

The Overthinker’s Guide to Modern Marketing is available on Apple Podcasts, Spotify, Audible and most places where people go to think slightly more deeply while pretending they only opened the analytics dashboard for a quick look.