Chances, not clicks, should be the goal

A click is easy to count. It shows up in the dashboard, it moves the number up, and it gives a campaign something to point to. What it doesn't tell you is whether anyone who clicked was ever going to do anything.

That gap between the click and the outcome is where a lot of marketing budgets quietly disappear.

Clicks were always a leading indicator, something you tracked at the top of the funnel to gauge whether a campaign was generating interest. The problem is that leading indicators have a way of becoming the goal. Once clicks were easy to measure and easy to report, they became what campaigns were optimized for and what vendors were judged on.

That created an incentive structure that has nothing to do with whether a campaign actually worked. High click volume is easy to report, easy to present, and easy to produce, even when none of those clicks turn into customers.

‍A better way to think about it

We've started thinking about what we're delivering to customers not as clicks but as chances.

A chance is what happens when a real person reaches an offer that's relevant to them at a moment when they might actually act. Someone who wants to buy a car and lands on a dealership page is a chance. It might not convert. But there's a real possibility it does, because the person, the offer, and the timing are all aligned.

Most clicks don't meet that bar. They're traffic. They're movement. They're not chances.

Two things determine whether a click becomes a chance. The first is relevancy. If someone has no interest in what's being offered, it’s just noise. The second is timing. A relevant offer at the wrong moment in someone's buying process is almost as useless as an irrelevant one. Someone who just bought a car last week isn't a chance for an auto campaign, no matter how well they match the target profile.

Both have to be true at the same time. Relevancy without timing, or timing without relevancy, generates a click. It doesn’t give you a chance.

‍This is a data problem

Getting relevancy and timing right requires knowing enough about a person to put the right offer in front of them at the right moment. You can nail the creative and place it perfectly, but if the audience is wrong, none of that matters.

You need to know who someone is, what they're likely in the market for right now, and where they are in the process of making a decision. Without that, targeting is largely guesswork dressed up as strategy. You're picking an audience based on who you think should be interested, deploying to them, and hoping the clicks mean something.

Good data doesn't guarantee a conversion. But it does increase the chances the offer is put in front of people who are actually likely to act, which is the only thing that makes a click worth paying for.

‍The fraud problem makes this worse

A meaningful percentage of digital traffic was never human to begin with. Bots don't schedule test drives, fill out forms, or show up to open houses, but they can generate clicks, and that inflates numbers and makes campaigns look like they're working when they aren't.

This isn't a fringe problem. It's widespread enough across the industry that any honest conversation about click volume has to account for it. If the floor for a real chance is a human being reaching a relevant offer at the right time, then fraudulent traffic doesn't produce chances at all.

Filtering out fraudulent traffic requires real investment. We built our own traffic gateway specifically because the tools available off the shelf weren't giving us confidence in what we were delivering to customers. The threshold we hold ourselves to is simple: a real person has to make it to the offer. Nothing else counts.

‍What's worth measuring instead

The metrics that actually reflect campaign performance are the ones further down the funnel. Scheduled appointments. Form completions. Test drives. Sign-ups. These are actions that require a human being to make a decision. They're harder to fake, harder to inflate, and much harder to explain away when they don't show up.

The objection to downstream metrics is usually that they're harder to attribute. That's true. But the difficulty of attribution doesn't make click volume more meaningful but more convenient. A campaign that drove 50 scheduled appointments tells you something real. A campaign that drove 50,000 clicks and only a few appointments tells you almost nothing.

Chances over clicks

The question most campaign reports don't answer is whether the people who received the message were ever likely to act on it. Clicks are easy to generate. Chances are harder to create, and they're the only metric that actually reflects whether a campaign did its job.