- It uses country- or region-specific data to credit several consistent ad touchpoints across the Search network, specifically.
- It credits on an arbitrary basis and may impact optimizations, particularly when leveraging automated bidding data.
- It prioritizes specific touchpoints and applies static logic to assign a constant value to a touchpoint along a conversion path.
- It leverages an account’s historical data to credit the most impactful ad touchpoints across Search, YouTube, and Display.
The Correct Answer is: It leverages an account’s historical data to credit the most impactful ad touchpoints across Search, YouTube, and Display.
Explanation: Data-Driven Attribution (DDA) is an advanced model in Google Ads, employing an account’s historical data to allocate credit to pivotal ad touchpoints across Search, YouTube, and Display. It discerns the real contribution of each ad interaction on the conversion path by comparing customers who convert with those who don’t. The recognized patterns result in DDA giving more credit to valuable ad interactions, improving the understanding of ad performance and aiding in achieving business goals.