Last-Touch Attribution
An attribution model that assigns all conversion credit to the final touchpoint before a customer converts. It is simple to implement and easy to verify since only the closing interaction is tracked, but it systematically undervalues earlier interactions in the journey. Last-touch was the default in Google Analytics Universal and remains common in many CRM systems. With average e-commerce journeys involving 4 to 8 touchpoints, last-touch ignores up to 87.5% of the customer path.
Why It Matters
Last-touch attribution is the default model in most analytics platforms because it is easy to track and requires minimal data stitching. However, it over-credits closing channels like branded search and email while under-crediting awareness channels that initiated the customer relationship. Studies show that last-touch can overstate branded search value by 200-300%, leading teams to over-invest in demand capture while systematically underfunding demand creation channels that fill the funnel.
Example
A customer sees a display ad, reads a blog post, clicks an email, and purchases via a branded Google search for a $200 order. Last-touch gives Google Search 100% credit. A DTC brand relying solely on last-touch found 65% of attributed revenue went to branded search. After implementing multi-touch, they discovered display ads initiated 40% of those journeys, leading them to rebalance $30,000 per month toward upper-funnel campaigns and grow new customer volume by 28%.
Related Terms
First-Touch Attribution
An attribution model that gives 100% of the conversion credit to the first marketing touchpoint a customer interacted with. It is useful for understanding which channels drive initial awareness and demand generation. The model is calculated simply: the channel or campaign that initiated the first tracked interaction receives full credit. First-touch is especially popular among B2B marketers where the average buying cycle spans 6 to 12 months, making it important to identify which channels fill the top of the pipeline.
Multi-Touch Attribution
An attribution approach that distributes conversion credit across multiple touchpoints in the customer journey rather than crediting a single interaction. Common multi-touch models include linear, time-decay, position-based, and algorithmic or data-driven. It provides a more complete picture of how channels work together to drive results and is especially critical for businesses with longer consideration cycles. The average B2C purchase involves 5 to 7 touchpoints, while B2B journeys can exceed 15 touchpoints across 3 to 6 months.