First-touch vs last-touch attribution — crediting the first interaction versus the final one. How each model works, its blind spot, and better alternatives.
In one line. First-touch attribution gives all credit to the interaction that first discovered you; last-touch gives all credit to the final one before converting. Each tells half the story — first-touch over-values discovery, last-touch over-values closing. Multi-touch models split the difference.
| First-Touch | Last-Touch | |
|---|---|---|
| Credits | The first interaction | The final interaction before converting |
| Good at showing | What creates awareness / demand | What closes / captures intent |
| Blind spot | Ignores what closed the deal | Ignores what started the journey |
| Tends to favour | Top-of-funnel channels | Bottom-of-funnel channels |
| Best used | Understanding discovery | Optimising conversion |
First-touch assigns 100% of the credit to the channel that first brought a prospect in — rewarding awareness and discovery. Its flaw: it ignores everything that happened between discovery and the sale.
Last-touch assigns 100% to the final interaction before conversion — usually flattering bottom-of-funnel channels like branded search or retargeting. Its flaw: it ignores everything that created the demand in the first place.
Real B2B journeys have many touches over weeks. Crediting only the first or last over-funds one end of the funnel. Multi-touch and data-driven models (in GA4) spread credit across the journey — a fairer basis for budget. See marketing attribution.
First-touch credits the interaction that first discovered your brand; last-touch credits the final interaction before conversion. First-touch highlights what creates demand; last-touch highlights what closes it.
Both are incomplete on their own. First-touch over-values discovery and last-touch over-values closing. For most businesses a multi-touch or data-driven model gives a fairer picture of what drives revenue.
A model that distributes credit across several touchpoints in the customer journey rather than all to one, giving a more realistic view of how different channels contribute to a conversion.
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