What Is Multi-Touch Attribution?
A model that distributes conversion credit across every marketing touchpoint in the buyer journey.
Multi-touch attribution (MTA) distributes credit for a conversion across all the marketing touchpoints that influenced the buyer journey. Instead of giving 100% credit to the first or last touch, MTA recognizes that most B2B purchases involve dozens of interactions across weeks or months.
Common MTA models include linear (equal credit to all touches), time-decay (more credit to recent touches), U-shaped (40% to first touch, 40% to lead creation, 20% distributed), and W-shaped (30% each to first touch, lead creation, and opportunity creation, 10% distributed). Each model tells a different story about which channels and campaigns matter.
For demand gen teams, MTA is the foundation of budget allocation. If your attribution model shows that webinars consistently appear in winning deal journeys while paid social rarely does, that informs where you invest next quarter's budget.
The challenge is implementation. Accurate MTA requires tracking every touchpoint across online and offline channels, connecting them to individual contacts, and tying those contacts to revenue outcomes in the CRM. Tools like Bizible (Adobe), HubSpot, and Dreamdata help automate this, but data quality issues are the norm, not the exception.
Frequently Asked Questions
Which multi-touch attribution model is best?
There is no single best model. W-shaped attribution works well for B2B because it weights the key conversion points (first touch, lead creation, opportunity creation). Start with W-shaped and adjust based on your sales cycle.
How is multi-touch different from single-touch attribution?
Single-touch (first-touch or last-touch) gives 100% credit to one interaction. Multi-touch distributes credit across all touchpoints. Single-touch is simpler but misses the contribution of mid-funnel activities.