What Is Last-Touch Attribution?

Last-touch attribution credits a conversion to the final channel before it happened — the visit that closed, regardless of what opened. It is the industry's historical default, not because it is right, but because it is easy: no memory required, just 'where did this converting session come from?'

Why ad platforms love it

Last touch systematically over-credits harvest channels: branded search, retargeting, 'direct'. A customer discovers you via a podcast, reads your blog twice, then googles your name and converts — last-touch hands the trophy to Google for hosting your own brand name. Platforms whose ads sit at the end of journeys naturally prefer the model that crowns the finish line. Grade their homework accordingly (first-party ad measurement).

What it is genuinely good for

• Conversion-context questions: which page, offer, or session sealed it — useful for CRO on the closing surfaces (pricing-page work is last-touch territory).
• Short-cycle purchases: when discovery and decision happen in one session, first and last touch agree, and the debate is moot.
• Cross-checking: the spread between a channel's first-touch and last-touch numbers tells you its role: big first/small last = opener; the reverse = closer.

The systematic distortion

Run a content program under last-touch and it will look like a money pit — every reader who later converts via branded search credits 'organic-brand', and the blog that created the demand reports zero. Teams have killed their best acquisition engines on this arithmetic. The corrective is first-touch for budget decisions, with multi-touch as the eventual referee when journeys get genuinely long.

Practical rule: never let the channel being measured choose the attribution model that measures it.