Five perspectives
Compare five models without rebuilding the original customer journey.
Enter a customer journey and conversion value to distribute credit across channels.
Compare first-touch, last-touch, linear, position-based and time-decay models.
Use the result as a decision aid, not proof of causality.
Why it matters
Attribution does not observe a single objective share of influence; it applies a rule for distributing credit across recorded touchpoints. First-touch emphasizes discovery, last-touch emphasizes the final interaction, linear treats every step equally and other models introduce their own priorities.
Because the same journey can produce very different channel results, selecting one rule without examining its assumptions can make reporting appear more certain than the evidence supports. Understanding that sensitivity helps teams avoid rewarding or cutting a channel solely because one model favors a particular position in the journey.
Comparing several models makes those assumptions visible and creates a more useful conversation about channel contribution.
Compare five models without rebuilding the original customer journey.
Keep touchpoint order visible behind every channel allocation.
Translate model weights into revenue or pipeline credit.
Understand each model’s assumptions before presenting results or changing budgets.
How to use
Use one representative conversion journey or compare several journeys separately.
Enter channels in encounter order and use consistent names so repeated touchpoints remain grouped across every model.
Enter the revenue or pipeline value to distribute, using the same valuation method across every journey.
Compare channel credit, investigate large differences and review experiments before making budget decisions from attributed results.
Understand what the comparison can and cannot tell you.
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