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Analytics

What is Attribution Model?

TL;DR

The rule determining which marketing touchpoints receive credit for a conversion. A customer might see a Facebook ad, search Google, click an email, then call your business, which channel "caused" the conversion? Attribution models answer this differently. Last-click-attribution credits the final touchpoint; First-Click Attribution credits the first; Linear Attribution distributes credit equally; Data-Driven Attribution uses machine learning. No model is "correct", they're different lenses for understanding customer journeys. Multi-touch attribution becomes important as marketing complexity grows. Most small businesses start with last-click (simple, actionable) but should explore data-driven attribution as they scale. The model you choose significantly affects how you evaluate channel performance and allocate budget.

Frequently Asked Questions About Attribution Model

Which attribution model should I use?

Start with data-driven if you have enough conversion volume (300+ monthly conversions). Otherwise, use last-click for simplicity but supplement with first-click analysis to understand awareness channels. No single model tells the complete story.

Why does attribution model choice matter?

Different models tell different stories about which channels work. Last-click makes SEO look great. First-click makes content marketing look great. Your budget allocation decisions depend on which model you trust, choose wisely.

Can I change attribution models in GA4?

Yes, in GA4 Admin under Attribution Settings. You can change reporting attribution for how reports display data. GA4 defaults to data-driven when you have sufficient conversion volume.

What's multi-touch attribution?

Any model that gives credit to multiple touchpoints (linear, position-based, data-driven) rather than single-touch (first or last). Multi-touch is more realistic because most conversions involve multiple interactions.

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