You own a restaurant called Ristorante Abigaille in Florence, Italy. A customer finds your site by clicking on your ads after performing each of these searches: "restaurant tuscany," "restaurant florence," "3 star restaurant florence," and "3 star restaurant abigaille florence." The customer makes a reservation after clicking on your ad that appeared with "3 star restaurant abigaille florence." Using the data-driven attribution model, what keyword would receive credit for the conversion?

Data-driven attribution (DDA) uses machine learning to understand how different touchpoints (like keywords) contribute to a conversion. It doesn't assign credit equally, nor does it give all credit to the first or last interaction. Instead, DDA analyzes all paths to conversion and assigns proportional credit to each keyword based on its actual contribution. This provides a more nuanced and accurate understanding of which keywords are most effective. Therefore, each keyword would receive credit according to its calculated impact, not an arbitrary percentage or full credit based on position.