Is Data-Driven Attribution the Default Model in Google Ads Now?
Yes — data-driven attribution is now Google's default model for most conversion actions, after first-click, linear, time-decay, and position-based models were deprecated and auto-upgraded to it.

Yes — data-driven attribution is now the default attribution model for most conversion actions in Google Ads, according to Google's own support documentation, and it's applied automatically rather than requiring an advertiser to opt in.
How data-driven attribution actually works
Data-driven attribution uses an account's own historical conversion data to calculate each ad interaction's real contribution to a conversion path. It compares the paths of customers who converted against the paths of customers who didn't, and identifies which ad interactions show up more often in the paths that led to a conversion — crediting each interaction based on that pattern rather than applying a fixed rule like "the last click gets all the credit."
What got deprecated
Google no longer supports the first-click, linear, time-decay, or position-based attribution models. Any conversion action that was previously set to use one of those retired models has been automatically upgraded to data-driven attribution rather than left without a working model. Last-click attribution is the one rule-based model Google still supports as an alternative to data-driven attribution.
The threshold that used to gate access
Data-driven attribution previously required an account to clear a minimum volume of conversions and clicks before Google would make it available as an option. That minimum-conversion threshold no longer applies, which is part of why data-driven attribution could become the account-wide default rather than remaining reserved for higher-volume advertisers.
Why this changes how conversion counts should be read
Because data-driven attribution redistributes credit across every ad interaction in a path rather than assigning it entirely to the last click, an account that switched from last-click to data-driven attribution, or was auto-upgraded from a now-deprecated model, can see its reported conversion counts shift across campaigns and keywords even with total account conversions unchanged. Upper-funnel keywords and campaigns that rarely got the last click, but regularly appeared earlier in a converting path, typically get credited with more conversions than they were before.
What to check in the account
Conversion actions still show which attribution model is applied to them individually — it's worth confirming a given conversion action is actually running under data-driven attribution rather than assuming, since last-click remains available and some accounts may have been explicitly set to it before the deprecated models were phased out.
Why this matters for automated bidding
Smart Bidding strategies like Target CPA, Target ROAS, and Maximize Conversions rely on the underlying conversion data to make bid adjustments, and data-driven attribution feeds those algorithms a more granular signal than last-click attribution does, since it reflects every ad interaction's measured contribution rather than crediting only the final touchpoint. That's part of why Google moved data-driven attribution from an opt-in feature gated behind a conversion-volume minimum to the account-wide default: it aligns the attribution layer with how automated bidding already evaluates performance internally, rather than leaving bidding algorithms and reported attribution running on two different logics.
Bottom Line
Check each conversion action's attribution model directly in the account rather than assuming data-driven attribution is active by default, and when comparing this year's per-campaign conversion counts against a prior period, rule out an attribution-model change before treating a shift as a real change in campaign performance.
Pro Tip
Always test your campaigns with small budgets first. Scale up only after you've proven profitability and optimized your conversion funnel.
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