Marketing Attribution Models Explained Simply

What Is Attribution?

Attribution is assigning credit for a conversion to the marketing touchpoints that influenced it. Most customers interact with multiple channels before converting.

Common Attribution Models

Last-Click

All credit goes to the last touchpoint before conversion. Simple but ignores awareness-building channels. Default in most analytics tools.

First-Click

All credit to the first touchpoint. Values discovery channels but ignores the conversion path.

Linear

Equal credit to every touchpoint. Fair but does not reflect reality—some touchpoints matter more than others.

Time Decay

More credit to touchpoints closer to conversion. Reasonable for short sales cycles but undervalues top-of-funnel.

Data-Driven

Uses machine learning to distribute credit based on actual impact patterns. Requires significant data volume (600+ conversions per month).

Which Model to Choose

Short sales cycle, simple path: last-click is fine

Multi-channel, long sales cycle: linear or data-driven

Heavy brand investment: consider first-click alongside last-click

Practical Advice

No model is perfect. Use attribution to inform, not dictate

Compare multiple models side by side

Complement with incrementality testing

Focus on trends rather than absolute numbers

Implementation

Google Analytics 4 uses data-driven attribution by default. You can change the reporting attribution model in Admin > Attribution Settings.