Google Ads Attribution Models: Data-Driven vs Last Click
Only two models remain. Here’s how each splits the credit, which to choose, and how to compare them on your own data before you switch.
An attribution model decides how conversion credit is split across the ad clicks on the path to a sale. In 2026 only two remain: Data-Driven (AI spreads credit across touchpoints — the default and recommended) and Last Click (100% to the final click). The four rules-based models were retired in 2023. For most advertisers, data-driven is the right choice; use the Model Comparison report to see the difference on your data before switching.
It decides which click gets the credit
Customers often click more than one of your ads before converting. An attribution model decides how to split the credit for that conversion across those clicks — which directly shapes how each campaign looks in your reports, and what Smart Bidding learns to chase.
Which attribution model fits?
Only two models exist now. Pick your typical purchase path and we’ll suggest one.
Data-Driven vs Last Click
| Model | How it credits | Trade-off |
|---|---|---|
| Data-Driven (DDA) | AI spreads credit across touchpoints based on what actually drove conversions in your account | Most accurate and the default; the formula is a bit of a black box |
| Last Click | 100% to the final ad click before converting | Simple and predictable; ignores everything that came before |
Last Click tends to over-reward closing branded searches — the click a buyer was going to make anyway — while starving the awareness and assist campaigns that actually started the journey. That’s the core reason Google made data-driven the default.
Use the Model Comparison report
For almost everyone, Data-Driven Attribution is the right call — it’s the default, it credits the whole path, and it feeds Smart Bidding better signals. Last Click is only really defensible when the journey is genuinely short and direct, or when you need consistency with historical last-click data.
- An attribution model splits conversion credit across the clicks on the path.
- Only two remain: Data-Driven (default, recommended) and Last Click.
- Last Click over-credits closing branded searches and ignores earlier touchpoints.
- Data-Driven credits the whole path and feeds Smart Bidding better signals.
- Compare the two in the Model Comparison report before you switch.
Attribution model FAQs
What attribution models does Google Ads have in 2026?
What is data-driven attribution?
What is last-click attribution?
Which attribution model should I use?
Does data-driven attribution need a minimum number of conversions?
What is the difference between an attribution model and an attribution window?
Related lessons
Last-click hiding your best campaigns?
The wrong attribution model misreads what’s working. I can help you read the data right and bid accordingly.
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