B2B marketing attribution models, explained

Why B2B attribution is hard

B2B purchases involve several people, long cycles, and channels that do not leave a trail, such as conversations, podcasts, and private communities. Software can only credit the touches it can see.

The common models

• First touch: all credit to the first recorded interaction. Good for understanding what creates awareness.
• Last touch: all credit to the final interaction before conversion. Good for understanding what closes.
• Linear: equal credit to every touch. Simple, but treats a newsletter open like a demo.
• Time decay: more credit to touches closer to conversion.
• U-shaped or W-shaped: weighted credit to first touch, lead creation, and opportunity creation.

Which model should a startup use?

Start with first touch and opportunity-creation touch, reported side by side. Together they show what brings people in and what turns them into pipeline. Add more complex models once you have enough volume for the differences to mean something.

Add self-reported attribution

Put a required free-text field on your demo form: "How did you hear about us?" Buyers will name podcasts, peers, and LinkedIn posts that software never sees. Review the answers monthly and categorize them. The gap between self-reported and software attribution is often where your best channels hide.

Set up the data correctly

Attribution is only as good as the tracking behind it.

• Consistent UTM parameters on every campaign link
• Original source captured on the contact and never overwritten
• Contacts associated to opportunities so touches roll up
• Offline touches, such as events, logged as campaign members

Reporting to the board

Present attribution as directional, not exact. Show pipeline and revenue by source over several quarters, note the model you used, and include the self-reported view. Consistency over time matters more than the model you choose.

Frequently asked questions