Instead of following a fixed rule, data-driven attribution compares the paths of people who converted with those who didn't, estimating how much each click or engagement increased the likelihood of converting. Google retired most rule-based models — first click, linear, time decay, and position-based — in 2023, leaving data-driven and last click as the main options.
DDA usually gives fairer credit to upper-funnel keywords and campaigns that start customer journeys, which last click undervalues. Because Smart Bidding uses your attribution model, switching to DDA can change how budgets and bids are allocated across an account.
Example
A customer clicks a generic 'kitchen remodel ideas' ad, later clicks a branded ad, then converts. Last click gives the branded ad 100% of the credit; data-driven attribution gives meaningful credit to the first ad too.
How Sloss Digital uses it
We use data-driven attribution in Google Ads and GA4, then validate it against CRM data so upper-funnel campaigns get credit for the demand they create.