Where Did Common Sense Go? Marketing’s Data Problem

Somewhere in the last fifteen years, marketing got a dashboard problem. Don’t get me wrong. Data is a gift. We can see which email subject lines get opened, which ads get clicked, and which pages lose people before checkout. Twenty years ago, marketers would have traded a limb for that visibility. But somewhere along the way, we stopped using data to inform our judgment and started using it to replace it.

The Spreadsheet Said So

Here’s a scene you’ve probably lived through. A team is debating a campaign idea. Someone proposes something bold, a message that speaks plainly to a real customer frustration. Then someone else asks, “Do we have data on that?”

The room goes quiet. Because the honest answer is no, you can’t have data on something that hasn’t happened yet. So the safe, tested, slightly-better-than-last-quarter idea wins. Again.

This is how brands end up sounding identical. Everyone optimizes against the same benchmarks, studies the same competitors, and A/B tests their way toward the same beige middle. Data is excellent at telling you which of two options performs better. It’s terrible at telling you what the third option should have been.

Measuring What’s Easy, Not What Matters

Part of the problem is that we measure what’s easy to measure. Clicks, impressions, open rates, and cost per lead are all easy to count. Trust, reputation, and whether a customer actually likes you are much harder to measure, so they quietly slide down the priority list.

But think about how you actually choose what to buy. You don’t pick a plumber because their retargeting ad had a 2.3% click-through rate. You pick the one a neighbor recommended, or the one who showed up on time and explained the problem in plain English. Reputation, clarity, and reliability drive most buying decisions, and none of them fit neatly in a weekly report.

When you only manage what you can measure, you slowly starve the things that build lasting businesses.

Common Sense Still Works

Here are a few questions that cut through a lot of analytical noise:

Would a normal person understand this in five seconds? If your headline needs a decoder ring, it doesn’t matter what the attribution model says.

Would I respond to this myself? Marketers often build campaigns they’d personally ignore. If you’d scroll past it, your customers will too.

Does this solve a real problem for a real person? Most great marketing is simply the right message reaching the right person at the right time. Everything else is tactics.

Are we talking about us, or about them? The data may say your product features page gets traffic. Common sense says customers care about what the product does for them.

Use Data as a Flashlight, Not a Steering Wheel

The fix isn’t abandoning analytics. That would be just as foolish. The fix is putting data back in its proper role.

Data is a flashlight. It shows you what’s happening, reveals problems, and confirms or challenges your hunches. But it can’t decide where you’re going. That takes strategy, taste, and a clear understanding of your customer, which come from talking to actual humans, not from staring at charts.

Some practical habits help. Talk to customers regularly, in person or on the phone, and not just through surveys. Read your own reviews and support tickets. Let one or two bold ideas per quarter run without a pre-approved forecast. And when the data and your gut disagree, treat that as a reason to investigate rather than automatically deferring to the numbers.

The Real Competitive Advantage

Here’s the irony. As more companies hand their decisions to the dashboard, judgment becomes scarcer, and anything scarce is valuable. The marketer who can look at the same numbers as everyone else and say, “That’s interesting, but here’s what I think is actually going on,” will outperform the one who just follows the trend line.

Common sense never went away. We just got distracted by how much we could count. The brands that win the next decade won’t be the ones with the most data. They’ll be the ones who remember that behind every data point is a person deciding whether to trust them.

So the next time someone asks, “Do we have data on that?”, try a different question: “Does it make sense?”

You might be surprised how often that’s the better place to start.