Last-click attribution punishes every channel except the last one
The attribution model you choose determines which channels look like they're working — pick the wrong one, and you'll defund channels that were actually contributing.
What is it?
Attribution is the practice of assigning credit for a conversion to the marketing touchpoints that contributed to it — determining which channels, campaigns, or content actually drove the result.
The attribution model chosen (last-click, first-click, multi-touch, and others) fundamentally changes which channels appear to be working, since real buyer journeys often involve multiple touchpoints before conversion.
Why it matters
Directly shapes budget decisions
Channels that look ineffective get defunded, correctly or not.
Reflects real buyer journeys
Most B2B buyers touch multiple channels before converting.
Reveals assisting vs. closing channels
Some channels open deals, others close them — both matter.
Determines what 'ROI' even means
The same spend can look great or terrible depending on the model.
How it works
Choosing an attribution approach.
Attribution model comparison
| Credits | |
|---|---|
| Last-click | Only the final touchpoint before conversion |
| First-click | Only the first touchpoint in the journey |
| Multi-touch | Distributed across all touchpoints in the journey |
Best practices
Multi-touch for considered, multi-session buyer journeys.
Brand and content need longer evaluation periods than paid search.
Attribution tools miss some real influence.
A channel's role in the journey can shift over time.
Common mistakes
Most attribution setups mislead decisions for one of these reasons.
It systematically undervalues channels that assist rather than close.
Under-investment in genuinely effective upper-funnel channels.
Use multi-touch attribution for complex buyer journeys.
Brand and content investments need longer to show attributable returns.
Slower-compounding channels get cut before they've proven out.
Set channel-appropriate evaluation windows.
Attribution tools miss offline and word-of-mouth influence.
An incomplete picture that skews budget decisions.
Cross-check attribution data against what sales actually hears.
KPIs & success metrics
What to track for attribution specifically.
Conversions where a channel contributed but wasn't the last touch.
How complex your typical buyer journey actually is.
How often multiple channels appear in the same journey.
Frequently asked questions
Ready to fix your attribution model?
Model channel ROI accurately, accounting for how buyers actually convert.
