Kyle YeomanSubscribe
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Most Teams Don't Have an Attribution Problem. They Have a Judgment Problem.

·3 min read

I'm not anti-data

Measurement isn't the problem. Treating measurement as a substitute for thinking is the problem. Data should inform decisions, not replace judgment.

The most seductive lie in modern marketing is that "the system knows better." It sounds like maturity, but the system only knows what it can see.

What it can see is a slice of reality: clicks, impressions, attributed conversions, and assumptions stitched into a story that looks clean in a dashboard.

Marketing isn't clean. Marketing is context. Timing, taste, distribution, pricing, offers. Whether the brand still feels fresh. Whether the product is actually worth talking about.

The trap is outsourcing decision-making

If you know me well, you know I hate multi-touch attribution tools. I've called them a scam before. (Okay, I'm being a little dramatic, but barely).

The promise is always the same: certainty. A "source of truth." A dashboard that finally tells you what's working.

Certainty is a mirage in marketing. The minute the dashboard becomes the focus, the real work stops. Judgment gets replaced with justification. Marketing turns into management. Managing channels. Managing reporting. Managing explanations.

I've sat in that meeting before. Growth is flat, everyone's uneasy, and someone says this is the "most efficient channel." Cool. Maybe it is. That can still be completely irrelevant to the actual problem. Efficient at what, exactly? Capturing demand that already exists? Optimizing yourself into a smaller box?

The same dynamic shows up with on-site testing. Just like MTA tries to outsource attribution to an algorithm, a/b testing often tries to outsource creative strategy to a calculator.

Take a product page that's weak. Not "needs a tweak" weak. Fundamentally weak. No clear value. No real promise. No objection handling. No selling.

Instead of reworking the whole thing, the team starts running micro-tests. Headline A vs Headline B. Button color. Tiny wins stacked on top of a page that still doesn't do the job. Conversion rate inches up. Everyone high-fives.

The business doesn't move.

The mindset shift

Ignoring measurement isn't the answer. Putting it back in its proper place is.

Most teams don't need a more sophisticated way to assign credit. They need a more honest way to answer: is the business getting healthier or growing because of what we're doing?

Focus on signals that are harder to game and closer to reality instead of touchpoint math: blended performance, contribution margin, and demand signals like brand search. Post-purchase surveys that capture what actually influenced the sale in the customer's own words. If a company is big enough and disciplined enough to do it right, an occasional Marketing Mix Modeling (MMM) study can help calibrate reality.

Marketing is messy. It has lag. It compounds. A lot of the work is invisible while it's happening. The job isn't to perfectly explain every sale.

The job is to make good bets with context and build something worth buying.

The point

Multi-touch attribution doesn't just fail because it's imperfect. It fails because it changes behavior. It trains teams to stop thinking, stop creating, and stop taking responsibility for the outcome.

It gives people a way to sound thorough while avoiding the risk of being wrong. Real marketing requires the courage to make a bet.

P.S. The best performing brands don't have perfect attribution. They have a better promise, better creative, and better judgment.

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