Marketing Analytics

Attribution

The process of identifying which marketing touchpoints contribute to a conversion.

Definition

Marketing Attribution is the analytical process of identifying which marketing touchpoints (ads, emails, content, social posts, etc.) contributed to a customer conversion or sale. Attribution models determine how credit is distributed across the customer journey. Common models include Last-Click, First-Click, Linear (equal credit), Time-Decay, and Data-Driven (algorithmic). Multi-touch attribution provides a more complete picture than single-touch models.

Why Attribution Matters

Without attribution, marketing budget decisions are based on guesswork. Proper attribution reveals which channels and campaigns are actually driving revenue, enabling smarter budget allocation. Attribution becomes more complex — and more important — as customer journeys span more channels.

Real-World Example

A customer journey: Google Ad click → blog post → email signup → nurture email → purchase. Last-click attribution gives all credit to email. First-click gives all credit to Google Ads. Linear attribution gives 25% to each touchpoint.

Attribution FAQs

What is data-driven attribution?

Data-driven attribution uses machine learning to analyse all conversion paths and assign credit based on the actual impact each touchpoint had — as opposed to rule-based models like last-click. Available in Google Analytics 4 and Google Ads.