Attribution Models Explained: First, Last, Linear & Multi-Touch
Compare common attribution models and learn when each model is useful, misleading, or best treated as a sensitivity check.
- No model removes uncertainty.
- First- and last-click answer simple but different questions.
- Use multi-touch models when the path matters, but avoid false precision.
First-click
First-click attribution gives full credit to the eligible touchpoint that introduced the tracked journey. It is useful for analyzing acquisition and discovery, but it can understate later touches that helped close the conversion.
Last-click
Last-click attribution gives full credit to the final eligible touchpoint before conversion. It is simple and often operationally useful, but it can undervalue the channels that created demand earlier.
ClickMagick currently offers a 14-day trial. Use it to validate your real conversion paths before committing.
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Linear spreads credit evenly. Time-decay gives more weight to touches closer to conversion. Position-based models emphasize selected positions, often first and last. These models describe paths differently; they do not reveal causal truth by themselves.
How to choose
Start from the decision you are making. Use one stable primary model for recurring reporting, then compare another model when a budget decision is sensitive to the attribution assumption.
What to do next
If this topic describes your current tracking problem, move one step closer to a software decision: compare the relevant tracking category, shortlist products against your actual data path, and validate a real campaign before migrating the rest of your stack.