Attribution Is Mostly Guesswork

Open any marketing dashboard and you'll find confident sentences: Google Ads drove 14 conversions. Organic search delivered 9. Social contributed 3. The precision is soothing — real numbers, decimal points available on request. Here is the uncomfortable truth underneath: nobody, including the dashboard, actually knows where those clients came from. Attribution — the assignment of credit for a sale to a channel — is not a measurement. It's an allocation rule, and the rule was chosen by whoever built the report.

The attribution reality: a client's real journey has many touches — the colleague's mention, the assistant's answer, the review skim, the article at 9pm, the ad that happened to be the last click. Attribution software sees a fraction of these and assigns all the credit by convention, usually to the final click before contact. The report isn't lying about what it saw. It's guessing about what mattered — and the guess is dressed as a decimal.

Where the guess breaks, concretely

The last-click lie. The journey above, run through standard attribution: the ad gets 100% of the credit. The referral that started it and the reviews that carried it get zero. Practices then double the ad budget and wonder why doubling didn't double anything — they paid twice for the receipt, not the cause.

The invisible channels problem — and it's growing. Attribution counts what leaves digital fingerprints. Word of mouth leaves none. The AI assistant's recommendation leaves almost none — a client told "call this practice" arrives typing your name, and the dashboard files them under "direct," the euphemism for no idea. The channels most valuable to a practice are precisely the least trackable, which means software attribution systematically under-credits your best assets and over-credits whatever's easiest to tag. (Did AI send that customer? digs into the newest blind spot.)

The incentive problem. Every platform grades its own homework: the ad platform's attribution finds the ads worked. The SEO tool finds search did it. None of them is fraudulent. All of them are counsel for their own defence.

How to hold attribution claims

Not by rejecting them — by demoting them from verdicts to hints, and cross-examining with tools that don't share their blind spots:

Ask the humans, always. The source question — "how did you hear about us?", verbatim, every enquiry — is unfashionable and beats the software where it matters: the client's own story of arrival captures the mention, the assistant, the review, in their weighting. Imperfect memory beats imaginary precision.

Compare the stories. Once a quarter, put the software's channel story next to the humans' answers. The gaps are the finding: dashboards say ads, humans say referrals — now you know where the credit actually belongs, and what to feed.

Settle real disputes with subtraction. When money rides on the answer — is this spend working? — the only honest referee is the holdout: pause it and watch. Would it have happened anyway is the question attribution pretends to answer and subtraction actually does.

Questions practices actually ask

Should I bother setting up conversion tracking at all? Yes — imperfect fingerprints beat none, especially inside a single channel (which ad, which page). The trap isn't tracking. It's promoting the tracker to judge.

What about the fancy multi-touch attribution models? They redistribute the guess more elaborately — smoothing credit across observed touches while remaining blind to the unobserved ones. For enterprise ad budgets, sometimes worth it. For a practice, the source question plus holdouts answers more, for less.

Clients say "Google" when asked. That's uselessly vague, right? Follow up gently once — "searching for something, or did someone mention us?" The second sentence usually surfaces the real story: "my sister told me, I just googled the name." That's a referral with a Google receipt — file it accordingly.

So what do I put in the source column? The client's story, one line. Over months, the column becomes the practice's true channel mix — the humble spreadsheet that out-reports the dashboards.