How would you describe the process by which data-driven attribution works?

Data-driven attribution (DDA) uses machine learning to analyze all conversion paths in your account. It identifies the actual contribution of each touchpoint (like clicks and impressions) to a conversion, rather than relying on predefined rules. This method considers various factors, including the order of ad interactions, ad formats, and time to conversion, across all Google channels like Search, YouTube, and Display. This allows for a more accurate and nuanced understanding of how different ad interactions contribute to your business goals, leading to better optimization of bids and budgets. The other options describe incorrect or overly simplistic views of DDA.