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Analytics & Attribution

Multi-Touch vs. Last-Click, Plainly Explained

Attribution is the jargon-heaviest corner of marketing analytics, and most of the jargon hides a genuinely simple idea: when a sale happens, which of the things the customer saw and did along the way gets the credit? "Last-click" and "multi-touch" are just two different answers to that one question. Here's what each really means, without the vendor fog — and how the model you pick quietly changes the story your data tells.

Last-Click

All the credit goes to the finish line

Last-click attribution gives 100% of the credit to whatever the customer clicked right before they converted. It's simple, it's the default in a lot of tools, and it has one big, quiet flaw: it erases every channel that did real work earlier. The social post that first made them aware, the search result that answered an early question, the email that brought them back — all invisible, because they didn't happen to be last. Judge your channels by last-click alone and you'll systematically underfund the things that start journeys and overfund the things that merely finish them.

Multi-Touch

Credit spread across the whole path

Multi-touch attribution spreads the credit across the journey instead of dumping it all on the finish line. If a customer discovered you on social, came back through search, and converted from an email, a multi-touch view gives each of those a share rather than crowning only the last. It's more honest about how buying actually works — people rarely decide on a single touch — and it's genuinely more work to explain. There are different ways to divide the credit (evenly, weighted toward the first touch, weighted toward the last), and the differences matter less than the core shift: from one channel getting everything to every contributing channel getting something.

Which To Trust When

The model you pick changes the decision

Neither model is "correct" — they answer slightly different questions. Last-click is fine for a quick read of what's closing deals right now. But the moment a real budget decision depends on the answer — should I cut this channel? is my top-of-funnel work worth it? — last-click will lie to you by omission, and multi-touch is worth the extra effort. The practical rule: use the simplest view that won't mislead the specific decision in front of you, and reach for multi-touch whenever a channel's whole budget is on the line.

What ARIA Shows You

The whole path, not just the finish line

ARIA reads the real path your customers took and tells you where a last-click view is quietly misleading you — in plain language, not a model name. A read might come back as:

"By last-click, your email is your hero and social looks like a waste of money. Read across the whole path, the picture flips: social is where most converting customers first find you — email just closes what social started. Cutting social to fund email would starve the top of the very funnel email depends on. The last click isn't the whole story here; the first one is doing the heavy lifting."

That's the point of reading attribution honestly: not to crown a favourite model, but to protect a budget decision from a half-true one.

The Foundation This Assumes

Where Audry picks up

Every word above assumes one thing: your tracking is actually capturing those touches in the first place. Read attribution on top of broken or ad-blocked tracking and even the best model is confidently wrong. Getting the data trustworthy is a foundation problem, and it's Audry's to fix: Server-Side Tracking. Fix the foundation first; then the model choice actually means something.

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See who actually earned the sale

Stop letting the last click take all the credit. Connect your site and let ARIA read the whole path your customers took — and report it in plain language you can act on.

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