The 4 Reasons Your Attribution Numbers Lie

You are not imagining it. When the dashboards disagree and the budget gets harder to defend, there is a real mechanism underneath, and it is not one problem but four working together. Here is why your marketing attribution is wrong, one mechanism at a time, each with the shape it takes in an ecommerce account.

Joe is careful not to villainize the platforms. The problem is structural, not malicious:

"It makes sense that these platforms will self-promote. You can't blame them."

Joe, Causality Engine Academy (Lesson 1)

He then walks through why the default model buries the truth. In his words:

"Last click attribution means that a sale is going to be attributed to the last advertisement or email or touchpoint that got the last click prior to the sale."

Joe, Causality Engine Academy (Lesson 1)

Which is why, as he puts it, "last clicks happen at the bottom of the funnel, but you need to fill it at the top." Credit the bottom, starve the top, and the four mechanisms below compound.

1. Double counting: every platform grades its own homework

Each platform claims the sales it was near, on its own terms. A single purchase gets booked by Meta, Google, and TikTok at once. Sum the claimed revenue across channels and it exceeds real revenue, sometimes by half again. You cannot allocate honestly from numbers that describe more sales than you made.

2. Correlation posing as causation

Ads get shown to the people most likely to buy, because that is what optimization does. So the conversions that follow would often have happened without the ad. The platform reports them as caused. They were merely correlated. This is the difference between "was present at the sale" and "produced the sale," and budgets live or die on it.

3. Last-click blindness

Last-click hands all credit to the final touch and zero to everything upstream. The channel that created the demand, the video someone watched last week, gets nothing. Cut the "low-ROAS" campaign and you may cut the thing feeding your winners, which is exactly how a paused campaign drops revenue 30 percent and no one saw it coming.

4. Demand harvesting

Retargeting and branded search catch people who already decided to buy. They convert efficiently and look like heroes, while the channels that generated the demand look weak. Fund the harvesters, starve the creators, and growth stalls while ROAS climbs.

How they compound

None of these is subtle in isolation. The damage is that they reinforce each other and repeat every quarter, so the misallocation is not a one-time error but a growing balance. Fixing each one, at a high level, means measuring incrementality rather than credit: asking what each channel caused, not what it touched.

Takeaway: Attribution is wrong for four structural reasons at once, and they compound. The fix is a causal question, not a better dashboard.

Watch the full breakdown above, or on YouTube. See the controlled experiments that prove the effect in What Happens When Companies Actually Test Their Ads, and start on the free foundation with Tier 1 DIY Attribution.