The big lie about attribution models

Decoding the attribution puzzle: why your metrics might be lying to you

Do you know where your marketing dollars are going? Because… spoiler alert: you probably don't.

I've spent over 15 years working with service and ecommerce companies, and there's a pattern that repeats itself every single time. Teams make critical decisions about where to invest millions based on data that isn't even well-defined or agreed upon. It's like flying blind.

The problem isn't necessarily that you can't measure. It's that the way you're doing it could be skewed from the start.

The problem: when measurement gets too easy

Here's the thing: when you set up a new web project, the most natural move is to implement Google Analytics. It's free, it's everywhere, and… well, everyone uses it. That should be enough, right?

Not quite. That "costs nothing" tag comes with a hidden price tag. Google Analytics is limited, it does data sampling (especially when you've got volume), and here's what matters: the attribution models you can use are practically zero.

Sure, there are alternatives. Mixpanel, Simple analytics, Amplitude, Contentsquare… the market is packed with options. But convincing the person holding the budget to pay for a tool when they've got a free one is… tough.

The real problem: last click and its lies

Usually, setting up attribution models is treated like a simple administrative task. Check the box, pick whatever comes first, done. And what usually happens is everyone falls into the last click trap.

Suddenly, uncomfortable questions start showing up in meetings: Why are we cutting social media ads spend? Why does SEO convert so well? Where is all that direct traffic coming from?

And then it hits you: the model was wrong. The user hit multiple touchpoints before converting. Every single point of contact mattered.

How to solve the attribution model

First: verify that your traffic is being measured correctly. Match your transaction data against your analytics tool. Look for at least a 95% match rate.

Second: build consensus across your company. Bring together marketing, product, leadership. Total transparency.

Third: understand that no universal model exists. In my experience, a model that works well: 40% of credit to the first click, 20% to the last one, and the remaining 40% spread across all the other touchpoints.

The result? Smarter decisions, better-allocated budgets, and fewer circular conversations around the table.