Datarithms

Last-click vs platform attribution in plain terms

Platform attribution means each ad platform decides, by its own rules, which conversions its ads caused. Last-click attribution starts from your own customer list and gives each paying customer to the last ad they clicked. The first answers "what did this platform touch?"; the second answers "which campaign brought this customer?".

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How do the two methods differ?

Side by side
QuestionPlatform attributionLast click (Datarithms)
Who decides the credit?Each platform, for its own adsOne rule applied to every platform
What counts as the result?The event you chose: often a sign-up or leadA payment not refunded within 14 days
Do views count?Often, inside a view windowNo, only clicks
Can a customer be counted twice?Yes, by different platformsNo, once, for one campaign
WindowSet per platform and per campaign90 days before payment
Customers with no ad clickNot shownShown as unmatched

What does last click get wrong?

It ignores everything before the last click. A video that first made someone curious gets no credit if they later searched your name and clicked a search ad. That is a real limit. We accept it because the result is countable, checkable against your payments, and never exceeds the customers you really have.

When is platform attribution still useful?

Inside one platform, for comparing ads against each other on the same rules, and for feeding the platform's own bidding. It is not a good basis for moving budget between platforms, because each platform grades its own work.

Common questions

Why not use a multi-touch model?

Multi-touch models need every touch of every customer, which exports rarely give. They also spread credit by a formula that is hard to check. We prefer a rule you can verify by hand.

Why 90 days?

Software and service purchases often follow the first click by weeks. A 90-day window keeps those customers matched without reaching back so far that old clicks collect credit.

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