What Position-Based Attribution Is
Position-based attribution is defined as a multi-touch model that assigns disproportionate credit to the first and last touchpoints in the buyer's journey, typically 40% to each, with the remaining 20% distributed equally among all middle touchpoints. Also known as U-shaped attribution, it reflects the insight that two moments in the buyer's journey are disproportionately important: the moment the buyer first discovers you (awareness) and the moment they take the converting action (decision). According to Forrester (2024), position-based models correlate 21% better with actual revenue outcomes than linear attribution models.The model is a practical middle ground: more nuanced than linear, less complex than algorithmic, and grounded in a defensible logic about which moments matter most.
How is position-based attribution calculated?
First touchpoint: 40% credit Last touchpoint: 40% credit All middle touchpoints: 20% credit divided equallyExample with a $100K deal and 5 touchpoints:
| Touchpoint | Position | Credit |
|---|---|---|
| 1. LinkedIn ad click | First touch | $40,000 (40%) |
| 2. Blog post read | Middle | $6,667 (6.7%) |
| 3. Webinar attended | Middle | $6,667 (6.7%) |
| 4. Case study downloaded | Middle | $6,667 (6.7%) |
| 5. Demo request | Last touch | $40,000 (40%) |
Some organizations modify the split to 30-40-30 or 35-30-35 based on their analysis of which moments matter most in their specific buying cycle. The standard 40-20-40 is a starting point, not a rule.
Why position-based attribution matters for revenue teams
Position-based attribution gives credit where it is most strategically useful: the channels that create new pipeline and the channels that convert it. For revenue teams, these are the two most important questions: where are new buyers coming from (first touch) and what triggers them to engage with sales (last touch)?The middle touches are valuable but play a nurturing role. Position-based attribution acknowledges this hierarchy without ignoring middle touches entirely (which single-touch models do). It produces channel-level insights that are more actionable than linear models because they highlight the channels that matter most at the highest-leverage moments.
How to use position-based attribution effectively
- Optimize first-touch channels for awareness and reach. The channels that earn 40% credit at first touch are your awareness engines. If organic search, LinkedIn ads, and events dominate first touch, invest in making those channels more efficient at reaching your ICP. - Optimize last-touch channels for conversion. The channels earning 40% credit at last touch are your conversion drivers. If product demos, pricing pages, and case studies dominate last touch, invest in making those assets more compelling and accessible. - Do not ignore the middle. The middle 20% shows which channels keep buyers engaged between awareness and conversion. Content, email nurture, and retargeting typically dominate the middle. These channels look unimportant in position-based attribution but are essential for maintaining momentum. - Compare to time-decay attribution for a complete view. Position-based values the bookends. Time-decay values recency. Running both models reveals which first-touch channels position-based credits that time-decay ignores, and vice versa. Use marketing measurement best practices to triangulate insights.
Common mistakes with position-based attribution
Treating the 40-20-40 split as universal truth. The optimal split varies by business model, sales cycle, and buyer behavior. A company with a heavy inbound motion may find that the first touch (content discovery) deserves 50% credit. A company with a strong outbound motion may find that middle touches (email sequences) deserve more than 20%. Test and calibrate the split to your data. Ignoring the assist value of middle touchpoints. If you cut all middle-funnel programs because they only get 6-7% credit per deal, the journey from first touch to last touch breaks. Buyers need nurturing between awareness and conversion. The 20% allocation is small per-deal but essential in aggregate.Frequently Asked Questions
How does position-based attribution distribute credit?
The standard split is 40% to the first touch (awareness creation), 40% to the last touch (conversion trigger), and the remaining 20% distributed equally among all middle touches. This recognizes that both introduction and conversion are high-value moments.
Why is it called U-shaped attribution?
When you graph the credit distribution across the journey, it forms a U-shape: high credit at the beginning, low credit in the middle, and high credit at the end. Some practitioners also call it the 'bathtub model' for the same visual reason.
Is position-based attribution better than linear?
For most B2B companies, yes. Position-based better reflects the reality that awareness creation and conversion are higher-leverage moments than mid-journey nurturing. Forrester (2024) found that position-based models correlate 21% better with revenue outcomes than linear models.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like position-based attribution into prescriptive action for your team.
Schedule a Demo