Definition
Data-driven attribution is a model that splits credit for a conversion across the ads and channels a person interacted with, based on how much each touchpoint actually contributed.
In practice
It is the default attribution model in GA4 and Google Ads. Google retired the first-click, linear, time-decay and position-based models in 2023, leaving data-driven and last-click.
The model learns from your own conversion paths, so it improves as more conversions and touchpoints are measured accurately.
Comparing GA4 with each ad platform’s own reporting will still show different totals, because every platform attributes with its own data and windows.
Learn more: GA4 reporting.
Related terms
- Key event (GA4)A key event is a Google Analytics 4 event you mark as important to your business, such as purchase, sign_up or generate_lead.
- GCLIDThe GCLID (Google Click Identifier) is a parameter that Google Ads adds to landing page URLs when auto-tagging is on, so conversions can be tied back to the click.
- UTM parametersUTM parameters are tags added to a link, such as utm_source, utm_medium and utm_campaign, that tell analytics tools where a visit came from.
How Markitech helps
Markitech connects your AI to Google Ads, GA4, Google Tag Manager, Meta and 12 more platforms, so it can check how Data-driven attribution is set up in your own accounts and tags and propose fixes. Every change is held until you approve it.